Abstract

A new method for the car plate extraction and recognition is presented in this paper. First, the segmentation technique, based on multiple threshold values determined by fuzzy entropy and the prior knowledge on car plate character, is used to extract the car plates, which has strong anti-noise capability, and is able to locate the car plates quickly in the varying backgrounds. Then, a recognition method combining the several recognizers is proposed to recognize the car plate characters. The recognition rates of over 97% under various illumination conditions in real applications shows that the proposed method is effective and reliable for car plate recognition.

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