Eyebrows Identity Authentication Based on Wavelet Transform and Support Vector Machines

被引：3

作者：

Cao Jun-bin ^{[1
]}

Yang Haitao ^{[1
]}

Ding Lili ^{[1
]}

机构：

[1] First Aviat Inst AF, Xingyang 464000, Henan, Peoples R China

来源：

INTERNATIONAL CONFERENCE ON SOLID STATE DEVICES AND MATERIALS SCIENCE | 2012年 / 25卷

关键词：

biometrics identification; eyebrow identity authentication; personal verification; wavelet transform; support vector machine;

D O I：

10.1016/j.phpro.2012.03.241

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In order to study the novel biometric of eyebrow,, this paper presents an Eyebrows identity authentication based on wavelet transform and support vector machines. The features of the eyebrows image are extracted by wavelet transform, and then classifies them based on SVM. Verification results of the experiment on an eyebrow database taken from 100 of self-built personal demonstrate the effectiveness of the system. The system has a lower FAR 0.22% and FRR 28% Therefore, eyebrow recongnition may possibly apply to personal identification. (C) 2012 Published by Elsevier B.V. Selection and/or peer-review under responsibility of Garry Lee

引用

页码：1337 / 1341

页数：5

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