关键词: 真伪字符区分, 字符去噪, 车牌字符分割, 结构特征, HSV颜色分析, 图像分割, 车牌分割

Abstract: A method based on the structural features of binary images and the color information of the color images is proposed respectively to distinguish the real images from the mixed images of license plate character images. To meet the requirement of a real-time license plate recognition system, binary images are obtained from the gray-scale char images by a fast threshold algorithm. Most of the fake char images are removed, combined the extracted structural features and the inherent characters of vehicle plates. Moreover, the color information of the fake images which are difficult to exclude from structural features will be analysed in HSV color model, and the color images in which huge differences exist from others will be removed at last by the geometric distribution of characters. Experimental results demonstrate that the proposed algorithm is feasible and has a good result. The algorithm is suitable for the real-time license plate recognition system as the post-process part of the character segmentation.?

Key words: true characters &, fake characters distinguish, characters de-noise, characters segmentation, structure features, HSV color analysis, image segmentation, plate segmentation