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为降低车牌图像识别的复杂度,提高识别速度,在图像识别前调整车牌图像的灰度化。针对二值化后的车牌图像进行特征分析,对比旋转的二值化图像的种种不确定性,提出借助傅里叶算法,利用傅里叶描述子,提取标准车牌字符特征的傅里叶描述子,通过对车牌字符的特征提取与匹配,实现字符的识别与定位。
In order to reduce the complexity of license plate image recognition and improve the recognition speed, the gray level of license plate image should be adjusted before image recognition. After analyzing the features of binarized license plate images and comparing the uncertainties of the binarized images, a Fourier descriptor extraction method based on Fourier descriptors is proposed to extract the Fourier descriptors , Through the license plate character feature extraction and matching, character recognition and positioning.