LicenseRecognition is an open source project that recognizes licenses of Car using an Android app to take pictures of license. The project analyzes images, identifies license plates, and send back result to users. The output is the text representation of any license plate characters found in the image.
This project require following ilbraries and tools:
- Ubuntu 12.04
- opencv 2.4.7.1
- tesseract-ocr 3.02.02
- openalpr
- teptonica-1.70
- java 1.7.0_51
- eclipse Kepler Service Release 2
- android 4.1
To install OpenCV 2.4.2 or 2.4.3 on the Ubuntu 12.04 operating system, first install a developer environment to build OpenCV.
sudo apt-get -y install build-essential cmake pkg-config
Install Image I/O libraries
sudo apt-get -y install libjpeg62-dev
sudo apt-get -y install libtiff4-dev libjasper-dev
Install the GTK dev library
sudo apt-get -y install libgtk2.0-dev
Install Video I/O libraries
sudo apt-get -y install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev
Optional - install support for Firewire video cameras
sudo apt-get -y install libdc1394-22-dev
Optional - install video streaming libraries
sudo apt-get -y install libxine-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev
Optional - install the Python development environment and the Python Numerical library
sudo apt-get -y install python-dev python-numpy
Optional - install the parallel code processing library (the Intel tbb library)
sudo apt-get -y install libtbb-dev
Optional - install the Qt dev library
sudo apt-get -y install libqt4-dev
Now download OpenCV 2.4 to wherever you want to compile the source.
mkdir xxx
cd xxx
wget https://github.com/Itseez/opencv/archive/2.4.7.tar.gz
or
wget http://sourceforge.net/projects/opencvlibrary/files/opencv-unix/2.4.7/opencv-2.4.7.tar.gz
then
tar -zxvf OpenCV-2.4.7.gz
Create and build directory and onfigure OpenCV with cmake. Don't forget the .. part at the end of cmake cmd !!
cd OpenCV-2.4.*
mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local
-D WITH_TBB=ON -D BUILD_NEW_PYTHON_SUPPORT=ON -D WITH_V4L=ON
-D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON
-D BUILD_EXAMPLES=ON -D WITH_QT=ON -D WITH_OPENGL=ON ..
Now compile it
make
And finally install OpenCV
sudo make install
First install the required libraries and tools for compiling.
sudo apt-get install libpng-dev libjpeg-dev libtiff-dev zlib1g-dev
sudo apt-get install gcc g++
sudo apt-get install autoconf automake libtools checkinstall
Install Leptonica from source. The latest version as of writing is 1.70.
wget http://www.leptonica.org/source/leptonica-1.70.tar.gz
tar -zxvf leptonica-1.70.tar.gz
cd leptonica-1.70
./configure
make
sudo checkinstall
sudo ldconfig
Then install Tesseract OCR from source.
wget https://tesseract-ocr.googlecode.com/files/tesseract-ocr-3.02.02.tar.gz
tar -zxvf tesseract-ocr-3.02.02.tar.gz
cd tesseract-ocr
./autogen.sh
./configure
make (this may take a while)
sudo make install
sudo ldconfig
Finally, install the languages you want. Simply place the trained data under /usr/local/share/tessdata. You can do this through wget or FTP upload.
At first, you should clone openalpr from github:
cd <your_work_space>
git clone https://github.com/openalpr/openalpr.git
cd openalpr-master
Then update the src/CMakeLists.txt file in the OpenALPR project. Update the following lines to match the directories of your libraries on your system:
- SET(OpenCV_DIR "<path_to_opencv>")
- SET(Tesseract_DIR "<path_to_esseract-ocr>")
Finally, in the src directory, execute the following commands:
cmake ./
make
Finally, you just need to clone LicenseRecognition project
cd <your_work_space>
git clone https://github.com/yang2012/LicenseRecognition.git
And open it using Eclipse. Then modify Constants.java file to correctly set kUploadImageContainerDirectory and kOpenalprDirectory.
At last, just run it. That's it.
- support Chinese characters
- Improve recognition rate
This project is under the MIT License (MIT) https://github.com/yang2012/LicenseRecognition/blob/master/LICENSE