A Dynamic Sliding Window Based on Otsu Method for Binary License Plate and Character Recognition

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This paper is concerned with the problem of license plate recognition of vehicles. A recognition algorithm based on dynamic sliding window to binarize license plate characters is proposed. While a connected domain approach is presented to cope with the degradation characters. There are three steps to recognize the characters. First, the characters are classified by their features. Then, based on such classification a grid method is used to construct the feature vector. Finally, least square support vector machine is employed to recognize these characters. The test results show the high recognition rate and also illustrate the effectiveness of the proposed algorithm.

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2301-2308

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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