Multi-modal biometrics involving the human ear

被引：0
|
作者：
Middendorff, Christopher [1 ]
Bowyer, Kevin W. [1 ]
Yan, Ping [1 ]
机构：
[1] Univ Notre Dame, Notre Dame, IN 46556 USA
来源：
2007 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-8 | 2007年
基金：
美国国家科学基金会;
关键词：
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Due to its semi-rigid shape and robustness against change over time, the ear has become an increasingly popular biometric feature. It has been shown that combining individual biometric methods into multi-biometric systems improves recognition. What features should be used, how they should be captured, what algorithms should be used, and how they should be combined are all open questions. In this paper, we discuss several existing methods of combination and the recognition rates of each.
引用
收藏
页码：3905 / +
页数：2
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