Improved Support Vector Machine Approach Based on Determining Thresholds Automatically |
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Authors: | WANG Xiao-hu YAN Xue-mei WANG Xiao-guang |
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Affiliation: | School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China |
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Abstract: | To improve the training speed of support vector machine (SVM), a method called improved center distance ratio method (ICDRM) with determining thresholds automatically is presented here without reduce the identification rate. In this method border vectors are chosen from the given samples by comparing sample vectors with center distance ratio in advance. The number of training samples is reduced greatly and the training speed is improved. This method is used to the identification for license plate characters. Experimental results show that the improved SVM method-ICDRM does well at identification rate and training speed. |
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Keywords: | support vector machine (SVM) improved center distance ratio method (ICDRM) threshold border vector |
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