License_Plate_Recognition.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 840
    },
    "colab_type": "code",
    "collapsed": true,
    "id": "uWwpI-24_Nob",
    "outputId": "6873c7fd-8c94-4754-e35a-616678c9f3bc"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reading package lists... Done\n",
      "Building dependency tree       \n",
      "Reading state information... Done\n",
      "The following package was automatically installed and is no longer required:\n",
      "  libnvidia-common-410\n",
      "Use 'sudo apt autoremove' to remove it.\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 8 not upgraded.\n",
      "Need to get 4,795 kB of archives.\n",
      "After this operation, 15.8 MB of additional disk space will be used.\n",
      "Get:1 http://archive.ubuntu.com/ubuntu bionic/universe amd64 tesseract-ocr-eng all 4.00~git24-0e00fe6-1.2 [1,588 kB]\n",
      "Get:2 http://archive.ubuntu.com/ubuntu bionic/universe amd64 tesseract-ocr-osd all 4.00~git24-0e00fe6-1.2 [2,989 kB]\n",
      "Get:3 http://archive.ubuntu.com/ubuntu bionic/universe amd64 tesseract-ocr amd64 4.00~git2288-10f4998a-2 [218 kB]\n",
      "Fetched 4,795 kB in 1s (4,277 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 ... 131186 files and directories currently installed.)\n",
      "Preparing to unpack .../tesseract-ocr-eng_4.00~git24-0e00fe6-1.2_all.deb ...\n",
      "Unpacking tesseract-ocr-eng (4.00~git24-0e00fe6-1.2) ...\n",
      "Selecting previously unselected package tesseract-ocr-osd.\n",
      "Preparing to unpack .../tesseract-ocr-osd_4.00~git24-0e00fe6-1.2_all.deb ...\n",
      "Unpacking tesseract-ocr-osd (4.00~git24-0e00fe6-1.2) ...\n",
      "Selecting previously unselected package tesseract-ocr.\n",
      "Preparing to unpack .../tesseract-ocr_4.00~git2288-10f4998a-2_amd64.deb ...\n",
      "Unpacking tesseract-ocr (4.00~git2288-10f4998a-2) ...\n",
      "Setting up tesseract-ocr-osd (4.00~git24-0e00fe6-1.2) ...\n",
      "Setting up tesseract-ocr-eng (4.00~git24-0e00fe6-1.2) ...\n",
      "Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n",
      "Setting up tesseract-ocr (4.00~git2288-10f4998a-2) ...\n",
      "Collecting pytesseract\n",
      "  Downloading https://files.pythonhosted.org/packages/47/e5/892d78db0d26372aa376fc1b127e9cd4cc158727a76e0802069115fcbd6e/pytesseract-0.3.0.tar.gz\n",
      "Requirement already satisfied: Pillow in /usr/local/lib/python3.6/dist-packages (from pytesseract) (4.3.0)\n",
      "Requirement already satisfied: olefile in /usr/local/lib/python3.6/dist-packages (from Pillow->pytesseract) (0.46)\n",
      "Building wheels for collected packages: pytesseract\n",
      "  Building wheel for pytesseract (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
      "  Created wheel for pytesseract: filename=pytesseract-0.3.0-py2.py3-none-any.whl size=20969 sha256=0be2e641474a291b2e023bf0f2d25cb706088131fa37a0976d43fed40a4c7393\n",
      "  Stored in directory: /root/.cache/pip/wheels/78/c9/ac/4cb76bd547f9970070522439e5203ba7926c5c5c4f131583ea\n",
      "Successfully built pytesseract\n",
      "Installing collected packages: pytesseract\n",
      "Successfully installed pytesseract-0.3.0\n"
     ]
    }
   ],
   "source": [
    "!sudo apt install tesseract-ocr\n",
    "!pip install pytesseract"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "QKJh7JjTAqzO"
   },
   "outputs": [],
   "source": [
    "import pytesseract\n",
    "import shutil\n",
    "import os\n",
    "import random\n",
    "try:\n",
    "    from PIL import Image\n",
    "except ImportError:\n",
    "    import Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 74,
     "resources": {
      "http://localhost:8080/nbextensions/google.colab/files.js": {
       "data": 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",
       "headers": [
        [
         "content-type",
         "application/javascript"
        ]
       ],
       "ok": true,
       "status": 200,
       "status_text": ""
      }
     }
    },
    "colab_type": "code",
    "collapsed": true,
    "id": "8zmc-K_nAyg1",
    "outputId": "3eeec8db-afba-4da3-c91d-c97d10857705"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "     <input type=\"file\" id=\"files-af0e7b65-8880-497f-9324-a3249ecd9288\" name=\"files[]\" multiple disabled />\n",
       "     <output id=\"result-af0e7b65-8880-497f-9324-a3249ecd9288\">\n",
       "      Upload widget is only available when the cell has been executed in the\n",
       "      current browser session. Please rerun this cell to enable.\n",
       "      </output>\n",
       "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saving plate.png to plate.png\n"
     ]
    }
   ],
   "source": [
    "from google.colab import files\n",
    "\n",
    "uploaded = files.upload()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "HaM3cMUDA_Ma"
   },
   "outputs": [],
   "source": [
    "plate = Image.open('plate.png')\n",
    "plateNumber = pytesseract.image_to_string(plate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 138
    },
    "colab_type": "code",
    "collapsed": true,
    "id": "8MWPUw6QznQk",
    "outputId": "95fa7c60-6400-4206-dcb3-73202840854f"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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4cSoYUEn7aQomWZZVLpdJnw+CgLKIo+z+oGxM2eOcl0pFGhxMUCYpLNMuwlT3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\nRK5CYII=\n",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=309x121 at 0x7FB7E9682E10>"
      ]
     },
     "execution_count": 9,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "3tlNDnk6ykNU",
    "outputId": "aaaf7e35-6c84-4f71-fcc0-9d64820ff318"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "License Plate Number :  = -DL7CO 1939\n"
     ]
    }
   ],
   "source": [
    "print(\"License Plate Number : \" , plateNumber )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "mixGfamezaWx"
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [],
   "name": "License_Plate_Recognition.ipynb",
   "provenance": [],
   "version": "0.3.2"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}