Title :
Multi-spectral information regarding face recognition
Author :
Ticay-Rivas, Jaime R. ; Pozo-Baños, Marcos Del ; Travieso, Carlos M. ; Alonso, Jesús B. ; Ferrer, Miguel A.
Author_Institution :
Signal & Commun. Dept., Univ. of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
Abstract :
Recently, hyper-spectral facial image capturing techniques have opened a new door for creating innovative techniques aiming to improve these systems 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.
Keywords :
computer vision; face recognition; image fusion; principal component analysis; channel fusion; computer vision; data fusion; equal error rate; face recognition; hyper-spectral facial image capturing techniques; innovative techniques; multispectral information; principal component analysis; verification approach; Databases; Discrete cosine transforms; Discrete wavelet transforms; Face; Feature extraction; Principal component analysis; Support vector machines; Face Verification; Hyper-spectral Face Image; Pattern Recognition;
Conference_Titel :
Security Technology (ICCST), 2011 IEEE International Carnahan Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4577-0902-9
DOI :
10.1109/CCST.2011.6095933
