Source Code.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Tau5RWvpH-kM"
      },
      "source": [
        "## **Setting up the environment**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yHfQY_p4ObiB"
      },
      "source": [
        "\n",
        "#**Final Project Digital Image Processing**\n",
        "##Signature Forgery Detection\n",
        "######Fariz Muhammad\n",
        "######Katarina Keishanti J. K.\n",
        "######Ramzy Izza Wardhana\n",
        "\n",
        "###Dataset:\n",
        "https://drive.google.com/drive/folders/1PUcCvHuVI54IZWOx6QXmd3ZH8gFTc9Vp"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CAMHzDmzGL0-"
      },
      "source": [
        "1. Importing Libraries as needed"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "s0hGfZXU_7qB"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import os\n",
        "import matplotlib\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.image as mpimg\n",
        "import matplotlib.cm as cm\n",
        "from scipy import ndimage\n",
        "from skimage.measure import regionprops\n",
        "from skimage.color import rgb2gray\n",
        "from skimage.feature import hog\n",
        "from skimage import io\n",
        "from skimage.filters import threshold_otsu, prewitt_h, prewitt_v\n",
        "from tqdm.notebook import tqdm\n",
        "import tensorflow as tf\n",
        "from tensorflow.python.framework import ops\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "from time import time\n",
        "import keras\n",
        "import cv2\n",
        "import glob\n",
        "tf.compat.v1.disable_eager_execution()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "I3v4KmifGQNe"
      },
      "source": [
        "2. Mounting the dataset"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "2bkKXa3s_m4U",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b3f3e1c8-e1a7-4d1e-a632-7c0c69cfe58e"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "FDLhk301DsX1"
      },
      "outputs": [],
      "source": [
        "genuine_image_paths = \"/content/drive/MyDrive/revdataset/train/genuine\"\n",
        "forged_image_paths = \"/content/drive/MyDrive/revdataset/train/forged\"\n",
        "test_image = \"/content/drive/MyDrive/revdataset/test\"\n",
        "img_path = os.path.join(test_image, '*')\n",
        "img_path = glob.glob(img_path)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-eLk51vwGXAT"
      },
      "source": [
        "3. Verifying that the data is properly loaded"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        },
        "id": "ufsP7fyWGcHR",
        "outputId": "f830f178-b82e-4524-d9f6-618caf6430d5"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7ff72027f750>"
            ]
          },
          "metadata": {},
          "execution_count": 5
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "image = io.imread(img_path[0])\n",
        "\n",
        "i, (im1) = plt.subplots(1)\n",
        "i.set_figwidth(15)\n",
        "im1.imshow(image)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Oyx-ifGHILs9"
      },
      "source": [
        "## **Image Enhancement**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4qsa9HN2rfX2"
      },
      "source": [
        "1. Reduce the noise from the greyscale"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "f0m8PAWGrgF0"
      },
      "outputs": [],
      "source": [
        "def noisereduction(img):\n",
        "   noiseReduction = cv2.fastNlMeansDenoising(img, None, 20, 7, 21)\n",
        "   return noiseReduction"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vv7pvcXuJuxB"
      },
      "source": [
        "2. Converts RGB to greyscale"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "fj4CUt4_L-NJ"
      },
      "outputs": [],
      "source": [
        "def rgbToGreyscale(img):\n",
        "    img = noisereduction(img)\n",
        "    grey = np.zeros((img.shape[0], img.shape[1]))\n",
        "    for x in range(len(img)):\n",
        "        for y in range(len(img[x])):\n",
        "            grey[x][y] = np.average(img[x][y])\n",
        "    return grey"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RcDQYe1hd5ic"
      },
      "source": [
        "3. Sharpen the greyscale image\n",
        "\n",
        "    In here, we used the commonly used kernel to sharpen the image.\n",
        "    \n",
        "    ![image.png](data:image/png;base64,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)\n",
        "    "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "5t0W9D-kd1HR"
      },
      "outputs": [],
      "source": [
        "def sharpen(img):\n",
        "  img = rgbToGreyscale(img)\n",
        "  kernel = np.array([[0, -1, 0],\n",
        "                   [-1, 5,-1],\n",
        "                   [0, -1, 0]])\n",
        "  sharpenImage = cv2.filter2D(src=img, ddepth=-1, kernel=kernel)\n",
        "  return(sharpenImage)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gh18sO-oTP4U"
      },
      "source": [
        "## **Image Segmentation**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-EZD8UXoh2Ha"
      },
      "source": [
        "1. Otsu Method\n",
        "\n",
        "    *NOTE: OTSU method (OTSU) is a global adaptive binarization threshold image segmentation algorithm."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "1fyuA48RNLtJ"
      },
      "outputs": [],
      "source": [
        "def otsu(img):\n",
        "    img = sharpen(img)\n",
        "    thres = threshold_otsu(img)\n",
        "    binaryImage = img > thres\n",
        "    binaryImage = np.logical_not(binaryImage)\n",
        "    return binaryImage"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8La7hcBOPX3B"
      },
      "source": [
        "## **Display the images:**\n",
        "\n",
        "  *   Normal image\n",
        "  *   Noise reduced image\n",
        "  *   Greyscale image\n",
        "  *   Sharpened greyscale image\n",
        "  *   Binary greyscale image using OTSU binarization segmentation\n",
        "  *   Binary greyscale image with only the needed features\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "7_N_F-IBOV8B",
        "outputId": "6cf06328-7d1d-4ad0-b1b0-082ffd897741"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[False, False, False, ..., False,  True,  True],\n",
              "       [False, False, False, ...,  True,  True,  True],\n",
              "       [False, False, False, ...,  True,  True, False],\n",
              "       ...,\n",
              "       [False, False, False, ..., False, False, False],\n",
              "       [False, False, False, ..., False, False, False],\n",
              "       [False, False, False, ..., False, False, False]])"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ],
      "source": [
        "def preproc(img, display=True):\n",
        "    if display:\n",
        "      # Display Original Image\n",
        "        plt.imshow(img)\n",
        "        plt.show()\n",
        "    grey = rgbToGreyscale(img)\n",
        "    if display:\n",
        "      # Display Greyscale Image\n",
        "        plt.imshow(grey, cmap = matplotlib.cm.Greys_r)\n",
        "        plt.show()\n",
        "    grey2 = np.uint8(grey)\n",
        "    noise = noisereduction(grey2)\n",
        "    if display:\n",
        "        # Display Greyscale + Denoised Image\n",
        "        plt.imshow(noise, cmap = matplotlib.cm.Greys_r)\n",
        "        plt.show()\n",
        "    sharpened = sharpen(noise)\n",
        "    sharpened1 = np.uint8(sharpened)\n",
        "    if display:\n",
        "        # Display Greyscale + Denoised  + Sharpen Image\n",
        "        plt.imshow(sharpened, cmap = matplotlib.cm.Greys_r)\n",
        "        plt.show()\n",
        "    binimg = otsu(img)\n",
        "    if display:\n",
        "       # Display Segmentation of enhanced image\n",
        "        plt.imshow(binimg, cmap = matplotlib.cm.Greys_r)\n",
        "        plt.show()\n",
        "    r, c = np.where(binimg==1)\n",
        "    signimg = binimg[r.min(): r.max(), c.min(): c.max()]\n",
        "    if display:\n",
        "        plt.imshow(signimg, cmap = matplotlib.cm.Greys_r)\n",
        "        plt.show()\n",
        "    return signimg\n",
        "\n",
        "preproc(image)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "F6zkQdxI23xr"
      },
      "source": [
        "## **Image Feature Extraction**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 323
        },
        "id": "-zNxSRcrRso3",
        "outputId": "1a8594da-64b8-4231-bfd1-3e139d1e187a"
      },
      "outputs": [
        {
          "output_type": "error",
          "ename": "ValueError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-12-3fd03fa8811a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0mtotal\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mimg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mimg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0mtotal\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m \u001b[0mSize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m<ipython-input-12-3fd03fa8811a>\u001b[0m in \u001b[0;36mSize\u001b[0;34m(img)\u001b[0m\n\u001b[1;32m      3\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mrow\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mcol\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimg\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m             \u001b[0;32mif\u001b[0m \u001b[0mimg\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mrow\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mcol\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m                 \u001b[0ma\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0mtotal\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mimg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mimg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mValueError\u001b[0m: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()"
          ]
        }
      ],
      "source": [
        "def Size(img):\n",
        "    a = 0\n",
        "    for row in range(len(img)):\n",
        "        for col in range(len(img[0])):\n",
        "            if img[row][col]==True:\n",
        "                a = a+1\n",
        "    total = img.shape[0] * img.shape[1]\n",
        "    return a/total\n",
        "Size(image)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def Ratio(img):\n",
        "    a = 0\n",
        "    for row in range(len(img)):\n",
        "        for col in range(len(img[0])):\n",
        "            if img[row][col]==True:\n",
        "                a = a+1\n",
        "    total = img.shape[0] * img.shape[1]\n",
        "    return a/total"
      ],
      "metadata": {
        "id": "a_MffOZ39vVy"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Zto7J9YGRz3q"
      },
      "outputs": [],
      "source": [
        "def Centroid(img):\n",
        "    numOfWhites = 0\n",
        "    a = np.array([0,0])\n",
        "    for row in range(len(img)):\n",
        "        for col in range(len(img[0])):\n",
        "            if img[row][col]==True:\n",
        "                b = np.array([row,col])\n",
        "                a = np.add(a,b)\n",
        "                numOfWhites += 1\n",
        "    rowcols = np.array([img.shape[0], img.shape[1]])\n",
        "    centroid = a/numOfWhites\n",
        "    centroid = centroid/rowcols\n",
        "    return centroid[0], centroid[1]"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def caclEccentricity(img):\n",
        "    r = regionprops(img.astype(\"int8\"))\n",
        "    return r[0].eccentricity"
      ],
      "metadata": {
        "id": "IoU6NO3dw3vW"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def calcSolidity(img):\n",
        "    r = regionprops(img.astype(\"int8\"))\n",
        "    return r[0].solidity"
      ],
      "metadata": {
        "id": "3gaGNTHKxD2x"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "cXPyaDz3RzvG"
      },
      "outputs": [],
      "source": [
        "def EccentricitySolidity(img):\n",
        "    r = regionprops(img.astype(\"int8\"))\n",
        "    return r[0].eccentricity, r[0].solidity"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "3LTxGz19RzsD"
      },
      "outputs": [],
      "source": [
        "def SkewKurtosis(img):\n",
        "    h,w = img.shape\n",
        "    x = range(w)\n",
        "    y = range(h)\n",
        "\n",
        "    xp = np.sum(img,axis=0)\n",
        "    yp = np.sum(img,axis=1)\n",
        "\n",
        "    cx = np.sum(x*xp)/np.sum(xp)\n",
        "    cy = np.sum(y*yp)/np.sum(yp)\n",
        "\n",
        "    x2 = (x-cx)**2\n",
        "    y2 = (y-cy)**2\n",
        "    sx = np.sqrt(np.sum(x2*xp)/np.sum(img))\n",
        "    sy = np.sqrt(np.sum(y2*yp)/np.sum(img))\n",
        "\n",
        "\n",
        "    x3 = (x-cx)**3\n",
        "    y3 = (y-cy)**3\n",
        "    skewx = np.sum(xp*x3)/(np.sum(img) * sx**3)\n",
        "    skewy = np.sum(yp*y3)/(np.sum(img) * sy**3)\n",
        "\n",
        "\n",
        "    x4 = (x-cx)**4\n",
        "    y4 = (y-cy)**4\n",
        "\n",
        "    kurtx = np.sum(xp*x4)/(np.sum(img) * sx**4) - 3\n",
        "    kurty = np.sum(yp*y4)/(np.sum(img) * sy**4) - 3\n",
        "\n",
        "    return (skewx , skewy), (kurtx, kurty)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Ew01uEP84m3A"
      },
      "outputs": [],
      "source": [
        "def averageScore(path, img=None, display=False):\n",
        "    if img is None:\n",
        "        img = io.imread(path)\n",
        "    img = preproc(img, display=display)\n",
        "    size = Size(img)\n",
        "    centroid = calcCentroid(img)\n",
        "    eccentricity, solidity = EccentricitySolidity(img)\n",
        "    skewness, kurtosis = calcSkewnessAndKurtosis(img)\n",
        "    average = (size + centroid + eccentricity + solidity + skewness + kurtosis) / 5\n",
        "    return average"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "M3_IYJarRzoS"
      },
      "outputs": [],
      "source": [
        "def getFeatures(path, img=None, display=False):\n",
        "    if img is None:\n",
        "        img = io.imread(path)\n",
        "    img = preproc(img, display=display)\n",
        "    ratio = Ratio(img)\n",
        "    centroid = Centroid(img)\n",
        "    eccentricity, solidity = EccentricitySolidity(img)\n",
        "    skewness, kurtosis = SkewKurtosis(img)\n",
        "    retVal = (ratio, centroid, eccentricity, solidity, skewness, kurtosis)\n",
        "    return retVal"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "9T1A0QjWRzky"
      },
      "outputs": [],
      "source": [
        "def getCSVFeatures(path, img=None, display=False):\n",
        "    if img is None:\n",
        "        img = io.imread(path)\n",
        "    temp = getFeatures(path, display=display)\n",
        "    features = (temp[0], temp[1][0], temp[1][1], temp[2], temp[3], temp[4][0], temp[4][1], temp[5][0], temp[5][1])\n",
        "    return features"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "0oIZPZ1VRzcP"
      },
      "outputs": [],
      "source": [
        "def makeCSV():\n",
        "    if not(os.path.exists('/content/drive/MyDrive/Features')):\n",
        "        os.mkdir('/content/drive/MyDrive/Features')\n",
        "        print('New folder \"Features\" created')\n",
        "    if not(os.path.exists('/content/drive/MyDrive/Features/Training')):\n",
        "        os.mkdir('/content/drive/MyDrive/Features/Training')\n",
        "        print('New folder \"Features/Training\" created')\n",
        "    if not(os.path.exists('/content/drive/MyDrive/Features/Testing')):\n",
        "        os.mkdir('/content/drive/MyDrive/Features/Testing')\n",
        "        print('New folder \"Features/Testing\" created')\n",
        "\n",
        "    gpath = genuine_image_paths\n",
        "\n",
        "    fpath = forged_image_paths\n",
        "    for person in range(1,64):\n",
        "        per = ('00'+str(person))[-3:]\n",
        "        print('Saving features for person id-',per)\n",
        "\n",
        "        with open('/content/drive/MyDrive/Features/Training/training_'+per+'.csv', 'w') as handle:\n",
        "            handle.write('ratio,cent_y,cent_x,eccentricity,solidity,skew_x,skew_y,kurt_x,kurt_y,output\\n')\n",
        "            # Training set\n",
        "            for i in range(0,3):\n",
        "                source = os.path.join(gpath, per+per+'_00'+str(i)+'.PNG')\n",
        "                features = getCSVFeatures(path=source)\n",
        "                handle.write(','.join(map(str, features))+',1\\n')\n",
        "            for i in range(0,3):\n",
        "                source = os.path.join(fpath, '999'+per+'_00'+str(i)+'.PNG')\n",
        "                features = getCSVFeatures(path=source)\n",
        "                handle.write(','.join(map(str, features))+',0\\n')\n",
        "\n",
        "        with open('/content/drive/MyDrive/Features/Testing/testing_'+per+'.csv', 'w') as handle:\n",
        "            handle.write('ratio,cent_y,cent_x,eccentricity,solidity,skew_x,skew_y,kurt_x,kurt_y,output\\n')\n",
        "            # Testing set\n",
        "            for i in range(3, 5):\n",
        "                source = os.path.join(gpath, per+per+'_00'+str(i)+'.PNG')\n",
        "                features = getCSVFeatures(path=source)\n",
        "                handle.write(','.join(map(str, features))+',1\\n')\n",
        "            for i in range(3,5):\n",
        "                source = os.path.join(fpath, '999'+per+'_00'+str(i)+'.PNG')\n",
        "                features = getCSVFeatures(path=source)\n",
        "                handle.write(','.join(map(str, features))+',0\\n')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "KmwmWcg0TWHQ"
      },
      "outputs": [],
      "source": [
        "makeCSV()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "MEOR0bsnR7oF"
      },
      "outputs": [],
      "source": [
        "while True:pass"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "T3XwT3bD7cgN"
      },
      "source": [
        "## **Image Classification**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "QzM8omafRY38"
      },
      "outputs": [],
      "source": [
        "def testing(path):\n",
        "    feature = getCSVFeatures(path)\n",
        "    if not(os.path.exists('/content/drive/MyDrive/TestFeatures')):\n",
        "        os.mkdir('/content/drive/MyDrive/TestFeatures')\n",
        "    with open('/content/drive/MyDrive/TestFeatures/testcsv.csv', 'w') as handle:\n",
        "        handle.write('ratio,cent_y,cent_x,eccentricity,solidity,skew_x,skew_y,kurt_x,kurt_y\\n')\n",
        "        handle.write(','.join(map(str, feature))+'\\n')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QtUHTgkrVDzz",
        "outputId": "3edf9735-63e1-48c7-b6fc-19e4ec52a51c"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Enter person's id : 007\n",
            "Enter path of signature image : /content/drive/MyDrive/revdataset/test/999007_005.PNG\n",
            "Forged Image\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "False"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ],
      "source": [
        "n_input = 9\n",
        "train_person_id = input(\"Enter person's id : \")\n",
        "test_image_path = input(\"Enter path of signature image : \")\n",
        "train_path = '/content/drive/MyDrive/Features/Training/training_'+train_person_id+'.csv'\n",
        "testing(test_image_path)\n",
        "test_path = '/content/drive/MyDrive/TestFeatures/testcsv.csv'\n",
        "\n",
        "def readCSV(train_path, test_path, type2=False):\n",
        "    # Reading train data\n",
        "    df = pd.read_csv(train_path, usecols=range(n_input))\n",
        "    train_input = np.array(df.values)\n",
        "    train_input = train_input.astype(np.float32, copy=False)  # Converting input to float_32\n",
        "    df = pd.read_csv(train_path, usecols=(n_input,))\n",
        "    temp = [elem[0] for elem in df.values]\n",
        "    correct = np.array(temp)\n",
        "    corr_train = keras.utils.to_categorical(correct,2)      # Converting to one hot\n",
        "    # Reading test data\n",
        "    df = pd.read_csv(test_path, usecols=range(n_input))\n",
        "    test_input = np.array(df.values)\n",
        "    test_input = test_input.astype(np.float32, copy=False)\n",
        "    if not(type2):\n",
        "        df = pd.read_csv(test_path, usecols=(n_input,))\n",
        "        temp = [elem[0] for elem in df.values]\n",
        "        correct = np.array(temp)\n",
        "        corr_test = keras.utils.to_categorical(correct,2)      # Converting to one hot\n",
        "    if not(type2):\n",
        "        return train_input, corr_train, test_input, corr_test\n",
        "    else:\n",
        "        return train_input, corr_train, test_input\n",
        "\n",
        "ops.reset_default_graph()\n",
        "# Initialized Parameter\n",
        "learning_rate = 0.001\n",
        "training_epochs = 1000\n",
        "display_step = 1\n",
        "# Neural Network\n",
        "n_hidden_1 = 7 # 1st layer Neurons\n",
        "n_hidden_2 = 10 # 2nd layer Neurons\n",
        "n_hidden_3 = 30 # 3rd layer Neurons\n",
        "n_classes = 2 # Classes (Genuiene and Forged)\n",
        "\n",
        "# Tensorflow Graph input\n",
        "X = tf.compat.v1.placeholder(\"float\", [None, n_input])\n",
        "Y = tf.compat.v1.placeholder(\"float\", [None, n_classes])\n",
        "\n",
        "# Store layers weight & bias\n",
        "weights = {\n",
        "    'h1': tf.Variable(tf.compat.v1.random_normal([n_input, n_hidden_1], seed=1)),\n",
        "    'h2': tf.Variable(tf.compat.v1.random_normal([n_hidden_1, n_hidden_2])),\n",
        "    'h3': tf.Variable(tf.compat.v1.random_normal([n_hidden_2, n_hidden_3])),\n",
        "    'out': tf.Variable(tf.compat.v1.random_normal([n_hidden_1, n_classes], seed=2))\n",
        "}\n",
        "biases = {\n",
        "    'b1': tf.Variable(tf.compat.v1.random_normal([n_hidden_1], seed=3)),\n",
        "    'b2': tf.Variable(tf.compat.v1.random_normal([n_hidden_2])),\n",
        "    'b3': tf.Variable(tf.compat.v1.random_normal([n_hidden_3])),\n",
        "    'out': tf.Variable(tf.compat.v1.random_normal([n_classes], seed=4))\n",
        "}\n",
        "\n",
        "# Model Creation\n",
        "def multilayerPerceptron(x):\n",
        "    layer1 = tf.tanh((tf.matmul(x, weights['h1']) + biases['b1']))\n",
        "    layer2 = tf.add(tf.matmul(layer1, weights['h2']), biases['b2'])\n",
        "    layer3 = tf.add(tf.matmul(layer2, weights['h3']), biases['b3'])\n",
        "    out_layer = tf.tanh(tf.matmul(layer1, weights['out']) + biases['out'])\n",
        "    return out_layer\n",
        "\n",
        "# Model Construction\n",
        "logits = multilayerPerceptron(X)\n",
        "\n",
        "# Loss and optimizer\n",
        "loss_op = tf.reduce_mean(tf.math.squared_difference(logits, Y))\n",
        "optimizer = tf.compat.v1.train.AdamOptimizer(learning_rate=learning_rate)\n",
        "train_op = optimizer.minimize(loss_op)\n",
        "\n",
        "pred = tf.nn.softmax(logits)  # Apply softmax to logits\n",
        "correct_prediction = tf.equal(tf.argmax(pred,1), tf.argmax(Y,1))\n",
        "accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))\n",
        "# Initializing the variables\n",
        "init = tf.compat.v1.global_variables_initializer()\n",
        "\n",
        "def evaluate(train_path, test_path, type2=False):\n",
        "    if not(type2):\n",
        "        train_input, corr_train, test_input, corr_test = readCSV(train_path, test_path)\n",
        "    else:\n",
        "        train_input, corr_train, test_input = readCSV(train_path, test_path, type2)\n",
        "    ans = 'Random'\n",
        "    with tf.compat.v1.Session() as sess:\n",
        "        sess.run(init)\n",
        "        # Training cycle\n",
        "        for epoch in range(training_epochs):\n",
        "            _, cost = sess.run([train_op, loss_op], feed_dict={X: train_input, Y: corr_train})\n",
        "            if cost<0.0001:\n",
        "                break\n",
        "        prediction = pred.eval({X: test_input})\n",
        "        if prediction[0][1]>prediction[0][0]:\n",
        "            print('Genuine Image')\n",
        "            return True\n",
        "        else:\n",
        "            print('Forged Image')\n",
        "            return False\n",
        "evaluate(train_path, test_path, type2=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gCPHyA9eAIlV",
        "outputId": "59b0901d-ae06-4bc6-fddf-baf3aa785861"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "/content/drive/MyDrive/revdataset/test/999001_008.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/002002_008.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999001_000.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999002_001.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/001001_005.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/001001_011.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/002002_007.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/001001_010.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/002002_011.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999001_001.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999001_006.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/002002_002.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999001_002.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/002002_003.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/001001_004.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/001001_008.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999002_009.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/001001_009.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999001_005.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/002002_006.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/003003_000.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/002002_004.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999001_010.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999001_011.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999002_011.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999001_009.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999002_000.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/003003_001.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999002_004.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999002_005.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/002002_009.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999002_002.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/001001_006.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/002002_001.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/001001_002.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999002_008.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999001_007.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999001_003.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/001001_001.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999002_010.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/002002_005.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/002002_000.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999002_003.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/001001_007.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999001_004.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999002_007.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/001001_000.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/001001_003.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/002002_010.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999002_006.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/004004_010.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999004_002.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999005_004.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999006_005.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999004_001.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999003_004.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999007_000.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999007_002.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999005_013.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/004004_001.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999004_003.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/005005_006.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999007_010.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/006006_011.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/006006_010.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/003003_004.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999005_014.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/005005_003.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/006006_006.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/006006_009.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/008008_008.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/006006_004.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999007_007.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999007_009.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/007007_007.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999006_012.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/005005_002.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/003003_006.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999004_014.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/006006_001.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/008008_007.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999004_009.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999007_004.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/007007_011.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/004004_003.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999007_005.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999006_018.PNG\n",
            "Genuine Image\n",
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            "Genuine Image\n",
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            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/004004_004.PNG\n",
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            "/content/drive/MyDrive/revdataset/test/003003_005.PNG\n",
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            "/content/drive/MyDrive/revdataset/test/003003_007.PNG\n",
            "Genuine Image\n",
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            "/content/drive/MyDrive/revdataset/test/999005_002.PNG\n",
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            "/content/drive/MyDrive/revdataset/test/006006_007.PNG\n",
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            "Genuine Image\n",
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            "Forged Image\n",
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            "/content/drive/MyDrive/revdataset/test/006006_005.PNG\n",
            "Genuine Image\n",
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            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999006_003.PNG\n",
            "Genuine Image\n",
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            "/content/drive/MyDrive/revdataset/test/003003_008.PNG\n",
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            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/004004_008.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999005_006.PNG\n",
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            "Genuine Image\n",
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            "/content/drive/MyDrive/revdataset/test/999015_001.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999018_010.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999014_002.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999018_012.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/015015_009.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999018_009.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999019_000.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999014_011.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/018018_003.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999013_006.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/019019_007.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/020020_005.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/016016_009.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999017_007.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999018_008.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999015_007.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/014014_000.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/020020_011.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/016016_010.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999018_004.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/016016_001.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/017017_002.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999018_013.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999013_011.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999016_005.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/019019_008.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999017_000.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999013_005.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/018018_001.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/020020_006.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999019_002.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999013_004.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/021021_011.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999018_007.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999014_009.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/017017_011.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/015015_001.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/018018_007.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/015015_004.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/014014_009.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/019019_006.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/014014_010.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/015015_002.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/016016_005.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999020_007.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/014014_004.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/015015_000.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/016016_011.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/019019_011.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999020_000.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999021_000.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999021_009.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/021021_006.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/021021_007.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999021_001.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/021021_000.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/021021_003.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999021_007.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/021021_008.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999021_006.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999021_008.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999021_005.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999021_002.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999021_011.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/999021_010.PNG\n",
            "Forged Image\n",
            "/content/drive/MyDrive/revdataset/test/021021_005.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/021021_002.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/021021_001.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/021021_004.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999021_003.PNG\n",
            "Genuine Image\n",
            "/content/drive/MyDrive/revdataset/test/999021_004.PNG\n",
            "Forged Image\n",
            "True Pos:  146\n",
            "True Neg:  136\n",
            "False Pos:  120\n",
            "False Neg:  106\n"
          ]
        }
      ],
      "source": [
        "TP = 0\n",
        "TN = 0\n",
        "FP = 0\n",
        "FN = 0\n",
        "\n",
        "def readCSV(train_path, test_path, type2=False):\n",
        "      # Reading train data\n",
        "      df = pd.read_csv(train_path, usecols=range(n_input))\n",
        "      train_input = np.array(df.values)\n",
        "      train_input = train_input.astype(np.float32, copy=False)  # Converting input to float_32\n",
        "      df = pd.read_csv(train_path, usecols=(n_input,))\n",
        "      temp = [elem[0] for elem in df.values]\n",
        "      correct = np.array(temp)\n",
        "      corr_train = keras.utils.to_categorical(correct,2)      # Converting to one hot\n",
        "      # Reading test data\n",
        "      df = pd.read_csv(test_path, usecols=range(n_input))\n",
        "      test_input = np.array(df.values)\n",
        "      test_input = test_input.astype(np.float32, copy=False)\n",
        "      if not(type2):\n",
        "          df = pd.read_csv(test_path, usecols=(n_input,))\n",
        "          temp = [elem[0] for elem in df.values]\n",
        "          correct = np.array(temp)\n",
        "          corr_test = keras.utils.to_categorical(correct,2)      # Converting to one hot\n",
        "      if not(type2):\n",
        "          return train_input, corr_train, test_inpu123t, corr_test\n",
        "      else:\n",
        "          return train_input, corr_train, test_input\n",
        "\n",
        "for path in img_path:\n",
        "  n_input = 9\n",
        "  train_person_id = (path[path.find('_') + -3:path.find('_')])\n",
        "  check = (path[path.find('_') + -6:path.find('_') + -3])\n",
        "  test_image_path = path\n",
        "  print(path)\n",
        "  train_path = '/content/drive/MyDrive/Features/Training/training_'+train_person_id+'.csv'\n",
        "  testing(test_image_path)123\n",
        "  test_path = '/content/drive/MyDrive/TestFeatures/testcsv.csv'\n",
        "\n",
        "  ops.reset_default_graph()\n",
        "  # Parameters\n",
        "  learning_rate = 0.001\n",
        "  training_epochs = 1000\n",
        "  display_step = 1\n",
        "\n",
        "  # Network Parameters\n",
        "  n_hidden_1 = 7 # 1st layer number of neurons\n",
        "  n_hidden_2 = 10 # 2nd layer number of neurons\n",
        "  n_hidden_3 = 30 # 3rd layer\n",
        "  n_classes = 2 # no. of classes (genuine or forged)\n",
        "\n",
        "  # tf Graph input\n",
        "  X = tf.compat.v1.placeholder(\"float\", [None, n_input])\n",
        "  Y = tf.compat.v1.placeholder(\"float\", [None, n_classes])\n",
        "\n",
        "  # Store layers weight & bias\n",
        "  weights = {\n",
        "      'h1': tf.Variable(tf.compat.v1.random_normal([n_input, n_hidden_1], seed=1)),\n",
        "      'h2': tf.Variable(tf.compat.v1.random_normal([n_hidden_1, n_hidden_2])),\n",
        "      'h3': tf.Variable(tf.compat.v1.random_normal([n_hidden_2, n_hidden_3])),\n",
        "      'out': tf.Variable(tf.compat.v1.random_normal([n_hidden_1, n_classes], seed=2))\n",
        "  }\n",
        "  biases = {\n",
        "      'b1': tf.Variable(tf.compat.v1.random_normal([n_hidden_1], seed=3)),\n",
        "      'b2': tf.Variable(tf.compat.v1.random_normal([n_hidden_2])),\n",
        "      'b3': tf.Variable(tf.compat.v1.random_normal([n_hidden_3])),\n",
        "      'out': tf.Variable(tf.compat.v1.random_normal([n_classes], seed=4))\n",
        "  }\n",
        "\n",
        "\n",
        "  # Create model\n",
        "  def multilayer_perceptron(x):\n",
        "      layer_1 = tf.tanh((tf.matmul(x, weights['h1']) + biases['b1']))\n",
        "      layer_2 = tf.add(tf.matmul(layer_1, weights['h2']), biases['b2'])\n",
        "      layer_3 = tf.add(tf.matmul(layer_2, weights['h3']), biases['b3'])\n",
        "      out_layer = tf.tanh(tf.matmul(layer_1, weights['out']) + biases['out'])\n",
        "      return out_layer\n",
        "\n",
        "  # Construct model\n",
        "  logits = multilayer_perceptron(X)\n",
        "\n",
        "  # Define loss and optimizer\n",
        "\n",
        "  loss_op = tf.reduce_mean(tf.math.squared_difference(logits, Y))\n",
        "  optimizer = tf.compat.v1.train.AdamOptimizer(learning_rate=learning_rate)\n",
        "  train_op = optimizer.minimize(loss_op)\n",
        "  # For accuracies\n",
        "  pred = tf.nn.softmax(logits)  # Apply softmax to logits\n",
        "  correct_prediction = tf.equal(tf.argmax(pred,1), tf.argmax(Y,1))\n",
        "  accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))\n",
        "  # Initializing the variables\n",
        "  init = tf.compat.v1.global_variables_initializer()\n",
        "\n",
        "  def evaluate(train_path, test_path, type2=False):\n",
        "      global TP, TN, FP, FN\n",
        "      if not(type2):\n",
        "          train_input, corr_train, test_input, corr_test = readCSV(train_path, test_path)\n",
        "      else:\n",
        "          train_input, corr_train, test_input = readCSV(train_path, test_path, type2)\n",
        "      ans = 'Random'\n",
        "      with tf.compat.v1.Session() as sess:\n",
        "          sess.run(init)\n",
        "          # Training cycle\n",
        "          for epoch in range(training_epochs):\n",
        "              # Run optimization op (backprop) and cost op (to get loss value)\n",
        "              _, cost = sess.run([train_op, loss_op], feed_dict={X: train_input, Y: corr_train})\n",
        "              if cost<0.0001:\n",
        "                  break\n",
        "  #             # Display logs per epoch step\n",
        "  #             if epoch % 999 == 0:\n",
        "  #                 print(\"Epoch:\", '%04d' % (epoch+1), \"cost={:.9f}\".format(cost))\n",
        "  #         print(\"Optimization Finished!\")\n",
        "\n",
        "          # Finding accuracies\n",
        "          accuracy1 =  accuracy.eval({X: train_input, Y: corr_train})\n",
        "          # print(\"Accuracy for train:\", accuracy1)\n",
        "  #         print(\"Accuracy for test:\", accuracy2)\n",
        "          if type2 is False:\n",
        "              accuracy2 =  accuracy.eval({X: test_input, Y: corr_test})\n",
        "              return accuracy1, accuracy2\n",
        "          else:\n",
        "              prediction = pred.eval({X: test_input})\n",
        "              if prediction[0][1]>prediction[0][0]:\n",
        "                  print('Genuine Image')\n",
        "                  if(train_person_id == check):\n",
        "                    TP = TP + 1\n",
        "                  else:\n",
        "                    FP = FP + 1\n",
        "                  return True\n",
        "              else:\n",
        "                  print('Forged Image')\n",
        "                  if(train_person_id == check):\n",
        "                    FN = FN + 1\n",
        "                  else:\n",
        "                    TN = TN + 1\n",
        "                  return False\n",
        "\n",
        "  evaluate(train_path, test_path, type2=True)\n",
        "\n",
        "print(\"True Pos: \", TP)\n",
        "print(\"True Neg: \", TN)\n",
        "print(\"False Pos: \", FP)\n",
        "print(\"False Neg: \", FN)\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qRRDw3GyrQU2",
        "outputId": "6f162c73-0832-46cd-fd4e-0a2ea72050ce"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Accuracy:  0.65748031496063\n",
            "Misclassification:  0.3425196850393701\n",
            "Precision:  0.6363636363636364\n",
            "Recall:  0.7222222222222222\n",
            "Specificity 0.59375\n"
          ]
        }
      ],
      "source": [
        "accuracy = (TP + TN)/(TP + TN + FP + FN)\n",
        "misclassification = (FP + FN)/(TP + TN + FP + FN)\n",
        "precision = (TP)/(TP + FP)\n",
        "recall = (TP)/(TP + FN)\n",
        "specificity = (TN)/(TN + FP)\n",
        "\n",
        "print(\"Accuracy: \", accuracy)\n",
        "print(\"Misclassification: \", misclassification)\n",
        "print(\"Precision: \", precision)\n",
        "print(\"Recall: \", recall)\n",
        "print(\"Specificity\", specificity)"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}