| 基于支持向量基的条码分类研究 |
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| 引用本文： | 陈东,刘希玉.基于支持向量基的条码分类研究[J].山东师范大学学报(自然科学版),2007,22(4):24-26. |
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| 作者姓名： | 陈东 刘希玉 |
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| 作者单位： | 山东师范大学信息科学与工程学院,250014,济南 |
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| 摘 要： | 条码的分类检测对条码识别具有非常重要的意义.本文提出将基于支持向量机的多分类方法用于条码的分类检测.对每种条码采用支持向量机二值分类器进行分类,这些二值分类器组成决策树的节点,构成决策树.通过实验表明,SVM在样本有限的情况下具有非常好的泛化能力.
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| 关 键 词： | 支持向量机 多分类 条码 |
| 收稿时间： | 2007-09-06 |
| 修稿时间： | 2007年9月6日 |
THE RESEARCH OF CLASSIFICATION OF BARCODE BASED ON SVM |
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| Chen Dong,Liu Xiyu.THE RESEARCH OF CLASSIFICATION OF BARCODE BASED ON SVM[J].Journal of Shandong Normal University(Natural Science),2007,22(4):24-26. |
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| Authors: | Chen Dong Liu Xiyu |
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| Abstract: | Barcode classification is very important in Barcode recognition.In this paper,the method of multi-class classification based on Support Vector Machines was used in barcode classification.Each group of barcode was classified by a SVM classifier.These binary classifiers were seen as the node of decision tree to construct a decision classifying tree.From the experiment,it is proved that the SVM has better generalization ability under the conditions of limited samples. |
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| Keywords: | SVM multi-classification barcode |
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