Score level fusion of multibiometrics using local phase array

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationAdvances in Multimedia Information Processing – PCM 2015 - 16th Pacific-Rim Conference on Multimedia, Proceedings
EditorsYo-Sung Ho, Yong Man Ro, Junmo Kim, Fei Wu, Jitao Sang
PublisherSpringer Verlag
Pages215-224
Number of pages10
ISBN (Print)9783319240770
DOIs
Publication statusPublished - 2015
Event16th Pacific-Rim Conference on Multimedia, PCM 2015 - Gwangju, Korea, Republic of
Duration: 2015 Sep 162015 Sep 18

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9315
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other16th Pacific-Rim Conference on Multimedia, PCM 2015
CountryKorea, Republic of
CityGwangju
Period15/9/1615/9/18

Keywords

  • Local phase array
  • Multibiometrics
  • Score level fusion

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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