一种基于SVM的改进车牌识别算法

Abstract

Abstract:

An improved recognition method of license plate based on support vector machine (SVM) is proposed in this paper.The features of grid,horizontal projection and vertical projection density are extracted after character thinning treatment.The feature vector set of three features has overall and local features of the characters,and low dimension.Based on SVM,plate numbers are recognized through feature vector sets.For confusing characters,a second recognition algorithm is put forward according to their respective features,which solves the problem of confused character recognition efficiently.Experiment results show that the algorithm has good robustness,strong anti-jamming ability,and a high recognition rate to 98.58%.

Key words: license plate recognition;SVM;feature vector;grid;projection;thin

CLC Number:

TP391

XUE Dan,SUN Wanrong,LI Jingjing,JIA Hailong,YANG Zifeng,WANG Zheng. An Improved Method of Car License Plate Recognition Based on SVM[J]., 2013, 26(11): 22-.

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An Improved Method of Car License Plate Recognition Based on SVM

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