基于RGB色度空间的车牌定位及矫正算法
Vehicle License Plate Location and Rectification Algorithms Based on RGB Chroma Space
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摘要: 针对复杂背景及不同光照条件下的车牌图像,提出了一种基于RGB色度空间的车牌定位及校正的新方法,建立了基于RGB色度空间的牌照检测模型。通过大量含车牌的彩色图片实验结果表明,利用RGB色度空间的牌照信息来进行牌照定位及矫正可以提高牌照识别系统的整体性能。Abstract: A new approach is presented for vehicle license plate location and rectification based on RGB chroma space in the complicated-background and different illumination images.According to the character of RGB chroma space,a vehicle plate location model was built through a series of operations in RGB chroma space.Experimental results show that the vehicle license plate location and rectification algorithms based on RGB chroma space can improve the whole performance of vehicle license plate recognition system greatly.
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