Automated Multimodal Biometrics Using Face and Ear

被引：0
|
作者：
Luciano, Lorenzo [1 ]
Krzyzak, Adam [1 ]
机构：
[1] Concordia Univ, Dept Comp Sci & Software Engn, Montreal, PQ H3G 1M8, Canada
来源：
IMAGE ANALYSIS AND RECOGNITION, PROCEEDINGS | 2009年 / 5627卷
关键词：
Face recognition; ear recognition; multimodal biometrics; eigenface; eigenear; PCA;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we present an automated multimodal biometric system for the detection and recognition of humans using face and ear as input. The system is totally automated, with a trained detection system for face and for ear. We look at individual recognition rates for both face and car, and then at combined recognition rates, and show that an automated multimodal biometric system achieves significant performance gains. We, also discuss methods of combining biometric input and the recognition rates that each achieves.
引用
收藏
页码：451 / 460
页数：10
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