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Score-Level Fusion of Phase-Based and Feature-Based Fingerprint Matching Algorithms

Koichi ITO, Ayumi MORITA, Takafumi AOKI, Hiroshi NAKAJIMA, Koji KOBAYASHI, Tatsuo HIGUCHI

Author information

Koichi ITO
Department of Computer and Mathematical Sciences, Graduate School of Information Sciences, Tohoku University
Ayumi MORITA
Yamatake Corporation
Takafumi AOKI
Department of Computer and Mathematical Sciences, Graduate School of Information Sciences, Tohoku University
Hiroshi NAKAJIMA
Yamatake Corporation
Koji KOBAYASHI
Yamatake Corporation
Tatsuo HIGUCHI
Faculty of Engineering, Tohoku Institute of Technology

Corresponding author

Keywords:fingerprint recognition,phase-only correlation,feature-based matching,combination of matchers,score-level fusion,biometrics

JOURNALRESTRICTED ACCESS

2010 Volume E93.AIssue 3Pages 607-616

DOIhttps://doi.org/10.1587/transfun.E93.A.607

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Published: March 01, 2010Received: July 06, 2009Available on J-STAGE: March 01, 2010Accepted: -Advance online publication: -Revised: -

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Article overview

Abstract

This paper proposes an efficient fingerprint recognition algorithm combining phase-based image matching and feature-based matching. In our previous work, we have already proposed an efficient fingerprint recognition algorithm using Phase-Only Correlation (POC), and developed commercial fingerprint verification units for access control applications. The use of Fourier phase information of fingerprint images makes it possible to achieve robust recognition for weakly impressed, low-quality fingerprint images. This paper presents an idea of improving the performance of POC-based fingerprint matching by combining it with feature-based matching, where feature-based matching is introduced in order to improve recognition efficiency for images with nonlinear distortion. Experimental evaluation using two different types of fingerprint image databases demonstrates efficient recognition performance of the combination of the POC-based algorithm and the feature-based algorithm.

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