A Robust Method for Arabic Car Plates Recognition and Matching Using Chain Code

This paper provides a new and fast method for matching and recognition of characters in Arabic license plate images. For this purpose, various methods have been proposed in literature. However, most of them suffer from: sensitivity to non-uniform illumination distribution, existence of shade in license plate, license plate color and the need for receiving an exact image of the license plate. The main contributions of our work include (I) chain code use to bounded the shape and distinguishing similar characters by local structural features. The moving window matching algorithm has been implemented. The distance measure (squared Euclidean distance) technique has been used for measuring the similarities between the moving window and the plate image. (2) Developing a system architecture combining statistical and structural recognition methods. We tested the method with 300 of plate images captured in different environments from real applications. The result yield 93.93% recognition accuracy.