Score level fusion of multibiometrics using local phase array

Luis Rafael Marval Pérez; Shoichiro Aoyama; Koichi Ito; Takafumi Aoki

doi:10.1007/978-3-319-24078-7_21

Score level fusion of multibiometrics using local phase array

Luis Rafael Marval Pérez, Shoichiro Aoyama, Koichi Ito, Takafumi Aoki

Tohoku University

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

3 Citations (Scopus)

Abstract

Local phase array for biometric recognition have demonstrated efficient performance in face, palmprint and finger knuckle recognition. If the matching score for each trait is calculated by one matcher using local phase array, the size of the system can be reduced and the simple score level fusion can be used to exhibit good performance for person authentication. In this paper, we consider the score level fusion of face, iris, palmprint, and finger knuckle whose matching scores are calculated using local phase array. Through a set of experiments using public databases, we demonstrate effectiveness of local phase array for multibiometric recognition compared with the combination of the stateof- the-art recognition algorithm for each trait.

Original language	English
Title of host publication	Advances in Multimedia Information Processing – PCM 2015 - 16th Pacific-Rim Conference on Multimedia, Proceedings
Editors	Yo-Sung Ho, Yong Man Ro, Junmo Kim, Fei Wu, Jitao Sang
Publisher	Springer Verlag
Pages	215-224
Number of pages	10
ISBN (Print)	9783319240770
DOIs	https://doi.org/10.1007/978-3-319-24078-7_21
Publication status	Published - 2015
Event	16th Pacific-Rim Conference on Multimedia, PCM 2015 - Gwangju, Korea, Republic of Duration: 2015 Sept 16 → 2015 Sept 18

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9315
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th Pacific-Rim Conference on Multimedia, PCM 2015
Country/Territory	Korea, Republic of
City	Gwangju
Period	15/9/16 → 15/9/18

Keywords

Local phase array
Multibiometrics
Score level fusion

Access to Document

10.1007/978-3-319-24078-7_21

Cite this

Pérez, L. R. M., Aoyama, S., Ito, K., & Aoki, T. (2015). Score level fusion of multibiometrics using local phase array. In Y-S. Ho, Y. M. Ro, J. Kim, F. Wu, & J. Sang (Eds.), Advances in Multimedia Information Processing – PCM 2015 - 16th Pacific-Rim Conference on Multimedia, Proceedings (pp. 215-224). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9315). Springer Verlag. https://doi.org/10.1007/978-3-319-24078-7_21

Pérez, Luis Rafael Marval ; Aoyama, Shoichiro ; Ito, Koichi et al. / Score level fusion of multibiometrics using local phase array. Advances in Multimedia Information Processing – PCM 2015 - 16th Pacific-Rim Conference on Multimedia, Proceedings. editor / Yo-Sung Ho ; Yong Man Ro ; Junmo Kim ; Fei Wu ; Jitao Sang. Springer Verlag, 2015. pp. 215-224 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Local phase array for biometric recognition have demonstrated efficient performance in face, palmprint and finger knuckle recognition. If the matching score for each trait is calculated by one matcher using local phase array, the size of the system can be reduced and the simple score level fusion can be used to exhibit good performance for person authentication. In this paper, we consider the score level fusion of face, iris, palmprint, and finger knuckle whose matching scores are calculated using local phase array. Through a set of experiments using public databases, we demonstrate effectiveness of local phase array for multibiometric recognition compared with the combination of the stateof- the-art recognition algorithm for each trait.",

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Pérez, LRM, Aoyama, S, Ito, K & Aoki, T 2015, Score level fusion of multibiometrics using local phase array. in Y-S Ho, YM Ro, J Kim, F Wu & J Sang (eds), Advances in Multimedia Information Processing – PCM 2015 - 16th Pacific-Rim Conference on Multimedia, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9315, Springer Verlag, pp. 215-224, 16th Pacific-Rim Conference on Multimedia, PCM 2015, Gwangju, Korea, Republic of, 15/9/16. https://doi.org/10.1007/978-3-319-24078-7_21

Score level fusion of multibiometrics using local phase array. / Pérez, Luis Rafael Marval; Aoyama, Shoichiro; Ito, Koichi et al.
Advances in Multimedia Information Processing – PCM 2015 - 16th Pacific-Rim Conference on Multimedia, Proceedings. ed. / Yo-Sung Ho; Yong Man Ro; Junmo Kim; Fei Wu; Jitao Sang. Springer Verlag, 2015. p. 215-224 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9315).

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

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T1 - Score level fusion of multibiometrics using local phase array

AU - Pérez, Luis Rafael Marval

AU - Aoyama, Shoichiro

AU - Ito, Koichi

AU - Aoki, Takafumi

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

N2 - Local phase array for biometric recognition have demonstrated efficient performance in face, palmprint and finger knuckle recognition. If the matching score for each trait is calculated by one matcher using local phase array, the size of the system can be reduced and the simple score level fusion can be used to exhibit good performance for person authentication. In this paper, we consider the score level fusion of face, iris, palmprint, and finger knuckle whose matching scores are calculated using local phase array. Through a set of experiments using public databases, we demonstrate effectiveness of local phase array for multibiometric recognition compared with the combination of the stateof- the-art recognition algorithm for each trait.

AB - Local phase array for biometric recognition have demonstrated efficient performance in face, palmprint and finger knuckle recognition. If the matching score for each trait is calculated by one matcher using local phase array, the size of the system can be reduced and the simple score level fusion can be used to exhibit good performance for person authentication. In this paper, we consider the score level fusion of face, iris, palmprint, and finger knuckle whose matching scores are calculated using local phase array. Through a set of experiments using public databases, we demonstrate effectiveness of local phase array for multibiometric recognition compared with the combination of the stateof- the-art recognition algorithm for each trait.

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ER -

Pérez LRM, Aoyama S, Ito K , Aoki T. Score level fusion of multibiometrics using local phase array. In Ho Y-S, Ro YM, Kim J, Wu F, Sang J, editors, Advances in Multimedia Information Processing – PCM 2015 - 16th Pacific-Rim Conference on Multimedia, Proceedings. Springer Verlag. 2015. p. 215-224. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-24078-7_21

Score level fusion of multibiometrics using local phase array

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