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A novel car plate verification with adaptive binarization method

A novel candidate verification algorithm for plate license localization is proposed in this paper. In the new method, auto-correlation curve, projection properties and character position features based on candidate binary image are combined together to verify the candidates. To improve the performance of verification, Otsupsilas method, Bersen method and Niblack method with post process are adaptive chosen to binarize images in different illumination. Experimental results show the efficiency of proposed method.