Computer Science ›› 2013, Vol. 40 ›› Issue (Z6): 176-179.

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Effective Way of Improving the Recognition Rate of License Plate’s First Character

LV Wen-qiang and YANG Jian   

  • Online:2018-11-16 Published:2018-11-16

Abstract: This paper offers a new method of extracting feature for solving the problem of the low Chinese character recognition rate resulted from the poor quality of the Chinese character image in the license plate recognition system.Firstly,the binary Chinese character image that has been segmented is divided into many blocks.Secondly,this paper extracts three stroke pixel’s feature components that include the proportion of stroke pixels in the block,the divergence and the centroid for each block.Thirdly,this paper combines the new feature extraction method with the SVM classifier.At last,a group of robust classifiers are obtained.The experimental results show that the Chinese character recognition rate can be improved greatly.

Key words: License plate recognition,Support vector machine,Character recognition,Shape parameter

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