Low-complexity algorithms for biometric recognition

Marcos Faundez-Zanuy; Virginia Espinosa-Duró; Juan Antonio Ortega

doi:10.1007/978-3-540-76442-7_24

Low-complexity algorithms for biometric recognition

Marcos Faundez-Zanuy^*
, Virginia Espinosa-Duró
, Juan Antonio Ortega

^*Corresponding author for this work

Polytechnic University of Catalonia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Verbal and Nonverbal Communication Behaviours - COST Action 2102 International Workshop, Revised Selected and Invited Papers
Publisher	Springer Verlag
Pages	275-285
Number of pages	11
ISBN (Print)	9783540764410
DOIs	https://doi.org/10.1007/978-3-540-76442-7_24
Publication status	Published - 2007
Externally published	Yes
Event	COST 2102 International Workshop on Verbal and Nonverbal Communication Behaviours - Vietri sul Mare, Italy Duration: 29 Mar 2007 → 31 Mar 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4775 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	COST 2102 International Workshop on Verbal and Nonverbal Communication Behaviours
Country/Territory	Italy
City	Vietri sul Mare
Period	29/03/07 → 31/03/07

Access to Document

10.1007/978-3-540-76442-7_24

Cite this

Faundez-Zanuy, M., Espinosa-Duró, V., & Ortega, J. A. (2007). Low-complexity algorithms for biometric recognition. In Verbal and Nonverbal Communication Behaviours - COST Action 2102 International Workshop, Revised Selected and Invited Papers (pp. 275-285). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4775 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-540-76442-7_24

Faundez-Zanuy, Marcos ; Espinosa-Duró, Virginia ; Ortega, Juan Antonio. / Low-complexity algorithms for biometric recognition. Verbal and Nonverbal Communication Behaviours - COST Action 2102 International Workshop, Revised Selected and Invited Papers. Springer Verlag, 2007. pp. 275-285 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Low-complexity algorithms for biometric recognition",

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.",

author = "Marcos Faundez-Zanuy and Virginia Espinosa-Dur{\'o} and Ortega, \{Juan Antonio\}",

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booktitle = "Verbal and Nonverbal Communication Behaviours - COST Action 2102 International Workshop, Revised Selected and Invited Papers",

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Faundez-Zanuy, M, Espinosa-Duró, V & Ortega, JA 2007, Low-complexity algorithms for biometric recognition. in Verbal and Nonverbal Communication Behaviours - COST Action 2102 International Workshop, Revised Selected and Invited Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4775 LNAI, Springer Verlag, pp. 275-285, COST 2102 International Workshop on Verbal and Nonverbal Communication Behaviours, Vietri sul Mare, Italy, 29/03/07. https://doi.org/10.1007/978-3-540-76442-7_24

Low-complexity algorithms for biometric recognition. / Faundez-Zanuy, Marcos; Espinosa-Duró, Virginia; Ortega, Juan Antonio.
Verbal and Nonverbal Communication Behaviours - COST Action 2102 International Workshop, Revised Selected and Invited Papers. Springer Verlag, 2007. p. 275-285 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4775 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Espinosa-Duró, Virginia

AU - Ortega, Juan Antonio

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AB - 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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DO - 10.1007/978-3-540-76442-7_24

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SN - 9783540764410

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Verbal and Nonverbal Communication Behaviours - COST Action 2102 International Workshop, Revised Selected and Invited Papers

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Faundez-Zanuy M, Espinosa-Duró V, Ortega JA. Low-complexity algorithms for biometric recognition. In Verbal and Nonverbal Communication Behaviours - COST Action 2102 International Workshop, Revised Selected and Invited Papers. Springer Verlag. 2007. p. 275-285. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-76442-7_24

Low-complexity algorithms for biometric recognition

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