Paper Info
Title
Score-Level Fusion Of Phase-Based And Feature-Based Fingerprint Matching Algorithms
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.
Year
DOI
Venue
2010
10.1587/transfun.E93.A.607
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES
Keywords
Field
DocType
fingerprint recognition, phase-only correlation, feature-based matching, combination of matchers, score-level fusion, biometrics
Computer science,Fingerprint recognition,Fusion,Fourier transform,Artificial intelligence,Computer vision,Pattern recognition,Fingerprint Verification Competition,Algorithm,Fingerprint,Access control,Biometrics,Nonlinear distortion
Journal
Volume
Issue
ISSN
E93A
3
0916-8508
Citations 
PageRank 
References 
1
0.35
9
Authors
6
Name
Order
Citations
PageRank
Koichi Ito1185.48
Ayumi Morita2131.50
Takafumi Aoki3915125.99
Hiroshi Nakajima48912.41
Koji Kobayashi58814.40
Tatsuo Higuchi630268.94