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WANG Xiao-hua, WANG Xiao-guang. Improved Approach Based on SVM for License Plate Character Recognition[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2005, 14(4): 378-381.
Citation: WANG Xiao-hua, WANG Xiao-guang. Improved Approach Based on SVM for License Plate Character Recognition[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2005, 14(4): 378-381.
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Improved Approach Based on SVM for License Plate Character Recognition

  • School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China

  • Received Date:2004-04-22
    Abstract
  • An improved approach based on support vector machine (SVM) called the center distance ratio method is presented for license plate character recognition. First the support vectors are pre-extracted. A minimal set called the margin vector set, which contains all support vectors, is extracted. These margin vectors compose new training data and construct the classifier by using the general SVM optimized. The experimental results show that the improved SVM method does well at correct rate and training speed.
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