Anpr Software Open Source
CARMEN ® ANPR is designed to read all vehicle license plate types in the world at any traffic speed. Toll collection and congestion charging systems, traffic monitoring and security, speed and journey time measurement, bus lane and traffic light enforcement, parking or access control and many other systems can benefit from the fast, exact, automatic identification and recognition capabilities. How to recognize vehicle license / number plate (ANPR) from an image? There is a new, open source library on GitHub that does ANPR for US and European plates. It looks pretty accurate and it should do exactly what you need (recognize the plate regions). Are you sure that 'The CARMEN FreeFlow ANPR Software engine' is open-source.
OpenALPR is an open source Automatic License Plate Recognition library written in C++ with bindings in C#, Java, Node.js, Go, and Python. The library analyzes images and video streams to identify license plates. The output is the text representation of any license plate characters.
Check out a live online demo here: http://www.openalpr.com/demo-image.html
User Guide
OpenALPR includes a command line utility. Simply typing 'alpr [image file path]' is enough to get started recognizing license plate images.
For example, the following output is created by analyzing this image:
Detailed command line usage:
Binaries
Pre-compiled Windows binaries can be downloaded on the releases page
Install OpenALPR on Ubuntu 16.04 with the following commands:
Documentation
Detailed documentation is available at doc.openalpr.com
Integrating the Library
OpenALPR is written in C++ and has bindings in C#, Python, Node.js, Go, and Java. Please see this guide for examples showing how to run OpenALPR in your application: http://doc.openalpr.com/bindings.html
Compiling
OpenALPR compiles and runs on Linux, Mac OSX and Windows.
OpenALPR requires the following additional libraries:
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After cloning this GitHub repository, you should download and extract Tesseract and OpenCV source code into their own directories. Compile both libraries.
Please follow these detailed compilation guides for your respective operating system:
If all went well, there should be an executable named alpr along with libopenalpr-static.a and libopenalpr.so that can be linked into your project.
Docker
Questions
Please post questions or comments to the Google group list: https://groups.google.com/forum/#!forum/openalpr
Contributions
Improvements to the OpenALPR library are always welcome. Please review the OpenALPR design description and get started.
Open Source Software
Code contributions are not the only way to help out. Do you have a large library of license plate images? If so, please upload your data to the anonymous FTP located at upload.openalpr.com. Do you have time to 'tag' plate images in an input image or help in other ways? Please let everyone know by posting a note in the forum.
License
Affero GPLv3http://www.gnu.org/licenses/agpl-3.0.html
Commercial-friendly licensing available. Contact: info@openalpr.com
From DKprojektai: Our automatic license plate recognition system has the following capabilities:Automotive vehicle identification number under the picture preservation; Automoblie admission by the date and time; Facilities management to the limit and the restriction zone; Black and white car numbers lists; Automatic control equipment according to the parameters; Tags are a large number of countries; Vehicle license plate recognition correctness more than 99 percent. night and day; License plate detection at different vehicle speeds; The versatile system can connect to any IP cameras; The ability to work with different databases; Possibility to connect an unlimited number of video cameras; LED panels use; Fast identification number to use all the computer resources; Web interface for the network.
Our company is engaged exclusively in the product and the adaptation of any object.
What do you need to know about free software?
From DKprojektai: Our automatic license plate recognition system has the following capabilities:Free Open Source Software
Automotive vehicle identification number under the picture preservation; Automoblie admission by the date and time; Facilities management to the limit and the restriction zone; Black and white car numbers lists; Automatic control equipment according to the parameters; Tags are a large number of countries; Vehicle license plate recognition correctness more than 99 percent. night and day; License plate detection at different vehicle speeds; The versatile system can connect to any IP cameras; The ability to work with different databases; Possibility to connect an unlimited number of video cameras; LED panels use; Fast identification number to use all the computer resources; Web interface for the network.
Anpr Software Open Source Download
Our company is engaged exclusively in the product and the adaptation of any object.