Improved approach based on SVM for license plate character recognition

Xiao Hua Wang; Xiao Guang Wang

Improved approach based on SVM for license plate character recognition

Xiao Hua Wang^*, Xiao Guang Wang

^*此作品的通讯作者

集成电路与电子学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

3 引用（Scopus）

摘要

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.

源语言	英语
页（从-至）	378-381
页数	4
期刊	Journal of Beijing Institute of Technology (English Edition)
卷	14
期	4
出版状态	已出版 - 12月 2005

其它文件与链接

链接到 Scopus 的出版物

引用此

Wang, X. H., & Wang, X. G. (2005). Improved approach based on SVM for license plate character recognition. Journal of Beijing Institute of Technology (English Edition), 14(4), 378-381.

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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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Improved approach based on SVM for license plate character recognition

摘要

其它文件与链接

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引用此