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《Electronic Science and Technology》 2007-10
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A Fast Vehicle License Plate Character Recognition Algorithm Based on the Half Blocked Integral Projection and SVM

Wen Hao Lu Zhaoyang (School of Telecommunications Engineering,Xidian University,Xi'an 710071,China)  
A fast character recognition algorithm is proposed for vehicle license plate recognition.First- ly,the character binary image whose size is WxH is transformed into a 1-dimension signal whose length is 2(W+H)by using the half blocked integral projection algorithm,which saves key information of the charac- ter to recognition and reduces the complexity of later processing for extracting character.Then the transformed 1-D signal is decomposed using the discrete Hart wavelet transform in depth of two layers,and the low fre- quency coefficients of the second layer are extracted as the input parameters of the improved SVM for training and classification.Experiment results show that the proposed method,by which the average recognition rate is about 97.60% and the average recognition time is about 19 ms,can improve the recognition speed and accu- racy efficiently.
【Fund】: 国家自然科学基金(60472083)
【CateGory Index】: TP391.41
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