OCR.ipynb

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  "metadata": {
    "colab": {
      "name": "OCR.ipynb",
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "gpuClass": "standard"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Aatmaj-Zephyr/WPL-MP/blob/main/OCR.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "id": "y64xqRkD4ou3",
        "outputId": "429d7c4e-9c9a-4437-dc04-35054c3c1b58",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_I13dfVEjVZ5"
      },
      "source": [
        "\n",
        "\n",
        "```\n",
        "# This is formatted as code\n",
        "```\n",
        "\n",
        "# Optical Character Recognition using Tesseract"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ydvTlknjrAHU"
      },
      "source": [
        "# By aatmaj Zephyr in collaboration with UsefulCoder23\n",
        "\n",
        "\n",
        "# IoT and Computer Vision Intern"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wpWkMPfNj66y"
      },
      "source": [
        "Optical Character Recognition(OCR) has been a popular task in Computer Vision. Tesseract is the most open-source software available for OCR. It was initially developed by HP as a tool in C++. \n",
        "Since 2006 it is developed by Google. The original software is available as a command-line tool for windows. We are living in a python world. Because of its popularity,the tool is also available in python--developed and maintained as an opensource project."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GDZYVGrJkorH"
      },
      "source": [
        "### Step1. Install Pytesseract and tesseract-OCR in Google Colab."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uWwpI-24_Nob",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f6ca3530-7c8f-48f6-ede6-6cafc976063d"
      },
      "source": [
        "!sudo apt install tesseract-ocr"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "The following additional packages will be installed:\n",
            "  tesseract-ocr-eng tesseract-ocr-osd\n",
            "The following NEW packages will be installed:\n",
            "  tesseract-ocr tesseract-ocr-eng tesseract-ocr-osd\n",
            "0 upgraded, 3 newly installed, 0 to remove and 19 not upgraded.\n",
            "Need to get 4,850 kB of archives.\n",
            "After this operation, 16.3 MB of additional disk space will be used.\n",
            "Get:1 http://archive.ubuntu.com/ubuntu focal/universe amd64 tesseract-ocr-eng all 1:4.00~git30-7274cfa-1 [1,598 kB]\n",
            "Get:2 http://archive.ubuntu.com/ubuntu focal/universe amd64 tesseract-ocr-osd all 1:4.00~git30-7274cfa-1 [2,990 kB]\n",
            "Get:3 http://archive.ubuntu.com/ubuntu focal/universe amd64 tesseract-ocr amd64 4.1.1-2build2 [262 kB]\n",
            "Fetched 4,850 kB in 3s (1,807 kB/s)\n",
            "debconf: unable to initialize frontend: Dialog\n",
            "debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 76, <> line 3.)\n",
            "debconf: falling back to frontend: Readline\n",
            "debconf: unable to initialize frontend: Readline\n",
            "debconf: (This frontend requires a controlling tty.)\n",
            "debconf: falling back to frontend: Teletype\n",
            "dpkg-preconfigure: unable to re-open stdin: \n",
            "Selecting previously unselected package tesseract-ocr-eng.\n",
            "(Reading database ... 128221 files and directories currently installed.)\n",
            "Preparing to unpack .../tesseract-ocr-eng_1%3a4.00~git30-7274cfa-1_all.deb ...\n",
            "Unpacking tesseract-ocr-eng (1:4.00~git30-7274cfa-1) ...\n",
            "Selecting previously unselected package tesseract-ocr-osd.\n",
            "Preparing to unpack .../tesseract-ocr-osd_1%3a4.00~git30-7274cfa-1_all.deb ...\n",
            "Unpacking tesseract-ocr-osd (1:4.00~git30-7274cfa-1) ...\n",
            "Selecting previously unselected package tesseract-ocr.\n",
            "Preparing to unpack .../tesseract-ocr_4.1.1-2build2_amd64.deb ...\n",
            "Unpacking tesseract-ocr (4.1.1-2build2) ...\n",
            "Setting up tesseract-ocr-eng (1:4.00~git30-7274cfa-1) ...\n",
            "Setting up tesseract-ocr-osd (1:4.00~git30-7274cfa-1) ...\n",
            "Setting up tesseract-ocr (4.1.1-2build2) ...\n",
            "Processing triggers for man-db (2.9.1-1) ...\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ujL16dZ2_O-3",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "703c493b-c746-4cea-951e-b9661d91be7b"
      },
      "source": [
        "!pip install pytesseract"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting pytesseract\n",
            "  Downloading pytesseract-0.3.10-py3-none-any.whl (14 kB)\n",
            "Requirement already satisfied: packaging>=21.3 in /usr/local/lib/python3.8/dist-packages (from pytesseract) (23.0)\n",
            "Requirement already satisfied: Pillow>=8.0.0 in /usr/local/lib/python3.8/dist-packages (from pytesseract) (8.4.0)\n",
            "Installing collected packages: pytesseract\n",
            "Successfully installed pytesseract-0.3.10\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zlsiJdwnkyx7"
      },
      "source": [
        "### Step2. import libraries"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QKJh7JjTAqzO"
      },
      "source": [
        "import pytesseract\n",
        "import shutil\n",
        "import os\n",
        "import cv2\n",
        "\n",
        "import random\n",
        "try:\n",
        "    from PIL import Image\n",
        "except ImportError:\n",
        "    import Image"
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yjaf9bJ3k4GC"
      },
      "source": [
        "### Step3. Upload Image to the Colab"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "TLIdydgT4jH8"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MDdbltgIlF3Q"
      },
      "source": [
        "## Step4. Text Extraction"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "os.chdir(\"/content/drive/MyDrive/ID cards\")"
      ],
      "metadata": {
        "id": "4EUzYw8t5C0z"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HaM3cMUDA_Ma",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "15712c69-2527-492a-ac6c-3ae13aa48ef9"
      },
      "source": [
        "for i in os.listdir() :\n",
        "  image = cv2.imread(i)\n",
        " \n",
        "  extractedInformation = pytesseract.image_to_string(image, lang='eng',config='--psm 3 --oem 1 --user-patterns /content/drive/MyDrive/config.txt')\n",
        "  print(extractedInformation)\n",
        "  "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "SOMALYA jy\n",
            "\n",
            "YAVIHAR UNIVERS11\n",
            "\n",
            "K J Somaiya College of Engineering\n",
            "\n",
            "ROHAN V MHABDI\n",
            "iD No: 1620210880 Tel: 986901064\n",
            "Blood Group: OF\n",
            "\n",
            ", i Awl\n",
            "ey \\/ g\n",
            "\n",
            "ssuing Authority Signature\n",
            "\n",
            " \n",
            "\f\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "D552cuoflHvx"
      },
      "source": [
        "### Step5. Printing the extracted information"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aw9nJoeqBWZP"
      },
      "source": [],
      "execution_count": 9,
      "outputs": []
    }
  ]
}