Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/75459
Title: Multi-Spectral Information regarding Face Recognition
Authors: Ticay Rivas, Jaime Roberto 
del Pozo-Banos, Marcos
Travieso, Carlos M. 
Alonso, Jesus B. 
Ferrer, Miguel A. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Hyper-Spectral Face Image
Face Verification
Pattern Recognition
Issue Date: 2011
Journal: International Carnahan Conference on Security Technology 
Conference: IEEE International Carnahan Conference on Security Technology (ICCST) 
Abstract: 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.
URI: http://hdl.handle.net/10553/75459
ISSN: 1071-6572
Source: 2011 Ieee International Carnahan Conference On Security Technology (Iccst)[ISSN 1071-6572], (2011)
Appears in Collections:Actas de congresos
Show full item record

Page view(s)

62
checked on Nov 3, 2024

Google ScholarTM

Check


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.