计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (30): 188-190.DOI: 10.3778/j.issn.1002-8331.2010.30.055
• 图形、图像、模式识别 • 上一篇 下一篇
段益群，刘国彦
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DUAN Yi-qun，LIU Guo-yan
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摘要： 在目前的生物特征识别方法中，虹膜识别被认为是最可靠的技术。提出一种基于经验模态分解和支持向量机的虹膜识别方法——EMD提取虹膜特征，SVM实现模式匹配。实验结果表明，该方法能够有效地应用到身份鉴别系统中。
关键词: 虹膜识别, 生物特征识别, 经验模态分解, 支持向量机
Abstract: Iris recognition is the most reliable and accurate method in biometrics identification.A new iris recognition algorithm based on Empirical Mode Decomposition（EMD） and Support Vector Machine（SVM） is proposed.EDM is applied to extract iris feature and SVM is used in pattern matching.Experimental results show that the proposed system can be used for a personal identification system in an efficient and effective manner.
Key words: iris recognition, biometrics identification, Empirical Mode Decomposition（EMD）, Support Vector Machine（SVM）
中图分类号:
TP391
段益群，刘国彦. 基于EMD和SVM的虹膜识别方法[J]. 计算机工程与应用, 2010, 46(30): 188-190.
DUAN Yi-qun，LIU Guo-yan. Iris recognition method based on EMD and SVM[J]. Computer Engineering and Applications, 2010, 46(30): 188-190.
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链接本文: http://cea.ceaj.org/CN/10.3778/j.issn.1002-8331.2010.30.055
http://cea.ceaj.org/CN/Y2010/V46/I30/188
