#191 · Primary category: Computer Vision

EasyPR

artificial-intelligence artificial-neural-networks chinese-characters computer-vision datasets machine-learning opencv opencv3 plate-recognition supervised-learning support-vector-machines unconstrained-situation

(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design

Project last updated:06/04/24

GitHub Stars

6.4K

Forks

2.5K

Contributors

7

License

Apache-2.0

Why we included this project

Reading Chinese license plates means handling Chinese characters on top of the usual plate-location problems, and this project tackles both inside one library. It first finds the plate region in an image, then runs character recognition to return the plate string along with its color class, so you do not have to wire separate detection and OCR stages together. Everything is built on OpenCV, which keeps the code portable across platforms and leaves the detection and recognition algorithms open for you to adapt to your own camera angles and lighting. Accuracy is quoted honestly, around 80% on clear images, and the project lists what it has not done yet, such as new-energy and two-line plates, so you can see where the rough edges are before you commit.

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