| With the development of society, science and technology unceasing renewal and license plate recognition technology in the modern intelligent transportation system plays a very important role. It is also a relevant research topic in recent years. Vehicle license plate is one of the important marks is essential technology. Vehicles logo is also one of marks, it can rise marking the role of auxiliary detection.Based on the intelligent transportation system vehicle plate recognition and vehicle-logo recognition this paper research:In the license plate location aspect, firstly,images carry out gray level transformation, smoothing processing. Based on the method of traditional image enhancement, this paper proposes a method of enhancement algorithm used wavelet packet transform. Combined with edge detection, morphologic processing and projection method, this paper proposes a method of the license plate location algorithm used texture feature. In the character segmentation aspect, this paper carries out mages to noise-suppressed processing, combines with vertical projection and prior knowledge to segment the character. The algorithm is much better than the traditional methods based on projection. In the character recognition aspect, this paper analyses two common method of character recognition: structural approach and statistical method. It uses momentum BP neural network of adaptive learning rate to recognize character.For vehicle logo, in order to locate the car logo in the various complex scenes, firstly, the AdaBoost algorithm is used to detect the car face, and then coarse location of the logo is comleted through the car face. Next, a fine logo location is done based on edges and contours. Finally, for the logo recognition, SURF and LBP features are respectively used for recognition and their performances are compared and discussed. The experimental results show that the proposed method is practical and effective, and also be robust to scale and rotation changes. |
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