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Automatic Recognition of Vehicle License Based on Color Segmentation

Department of Computer Science & Engineering, Shanghai Jiaotong University, China  
An approach for automatic recognition of a vehicle license using color segmentation and hierarchical hybird integrated classifier is presented. This approach consists of color segmentation, object locating, character recognition and post process modules. A multi layer perceptron networks (MLPN) is employed for stable color segmentation. Projection method is used to locate vehicle license plate based on the prior knowledge of fixed ratio of horizontal and vertical length of a plate and to extract characters in the plate. A hierarchical hybrid integrated classifier is used to recognize these characters, then a license database is used to verify recognition result given by hierarchical hybrid integrated classifier in order to improve the reliability of the recognition results. The experimental result show that the proposed approach is excellent in accuracy and robustness, the proper license plate locating rate is above 98.6% and the character recognition accuracy reaches 95%, and can be put into practical use.
【Fund】: 国防预研基金
【CateGory Index】: TP18
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