Multi-Spectral Information regarding Face Recognition

被引：0
|
作者：
Ticay-Rivas, Jaime R. [1 ]
del Pozo-Banos, Marcos [1 ]
Travieso, Carlos M. [1 ]
Alonso, Jesus B. [1 ]
Ferrer, Miguel A. [1 ]
机构：
[1] Univ Palmas Las Gran Canaria, Signal & Commun Dept, Inst Technol Dev & Innovat Commun, IDeTIC ULPGC, Las Palmas Gran Canaria, Spain
来源：
2011 IEEE INTERNATIONAL CARNAHAN CONFERENCE ON SECURITY TECHNOLOGY (ICCST) | 2011年
关键词：
Hyper-spectral Face Image; Face Verification; Pattern Recognition;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Recently, hyper-spectral facial image capturing techniques have opened a new door for creating innovative techniques aiming to improve these system's features. In our work, we have developed a verification approach based on Principal Component Analysis, and doing channel fusion (data fusion), in particular 5, 13, 14, 16, 24, 33, and 34 channels, reaching an Equal Error Rate of 97.37%; showing a good behavior of the kind of images.
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页数：9
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