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.
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Faundez-Zanuy, M., Espinosa-Duró, V., Ortega, J.A. (2007). Low-Complexity Algorithms for Biometric Recognition. In: Esposito, A., Faundez-Zanuy, M., Keller, E., Marinaro, M. (eds) Verbal and Nonverbal Communication Behaviours. Lecture Notes in Computer Science(), vol 4775. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76442-7_24
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DOI: https://doi.org/10.1007/978-3-540-76442-7_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76441-0
Online ISBN: 978-3-540-76442-7
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