Low-complexity algorithms for biometric recognition

Authors:
Marcos Faundez-Zanuy;Virginia Espinosa-Duró;Juan Antonio Ortega
Affiliations:
Escola Universitària Politècnica de Mataró, Adscrita a la UPC, Mataro, Barcelona, Spain;Escola Universitària Politècnica de Mataró, Adscrita a la UPC, Mataro, Barcelona, Spain;Departament d'Enginyeria Electrònica, UPC, Terrassa
Venue:
COST 2102'07 Proceedings of the 2007 COST action 2102 international conference on Verbal and nonverbal communication behaviours
Year:
2007

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Abstract

In this paper we emphasize the relevance of low-complexity algorithms for biometric recognition and we present to examples with special emphasis on face recognition. Our face recognition application has been implemented on a low-cost fixed point processor and we have evaluated that with 169 integer coefficients per face we achieve better identification results (92%) than the classical eigenfaces approach (86.5%), and close to the DCT (92.5%) with a reduced computational cost.