DocumentCode :
2490928
Title :
Integrating minutiae based fingerprint matching with local mutual information
Author :
Li, Jiang ; Tulyakov, Sergey ; Farooq, Faisal ; Corso, Jason J. ; Govindaraju, Venu
Author_Institution :
Center for Unified Biometrics & Sensors (CUBS), Univ. at Buffalo, Buffalo, NY
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1
Lastpage :
4
Abstract :
Minutiae based fingerprint matching algorithms are wildly used in fingerprint identification and verification applications. However, they may suffer from spurious matches because they do not use the rich local image information. In this paper, we extend minutiae based methods to incorporate such local image information. Our method uses local mutual information, a proven similarity measure in various applications, to improve the matching rate. The overall minutiae distribution pattern between two fingerprints is represented by the initial minutiae matching result, while the mutual information measures the similarity between neighborhoods of matched minutiae, thus enhancing the final matching decision. FVC2002 DB1 and DB3 databases are used to test the proposed approach. Experimental result shows the improvement when combining minutiae matching scores with mutual information scores.
Keywords :
fingerprint identification; image matching; DB3 databases; FVC2002 DB1 databases; fingerprint identification; fingerprint verification; local image information; minutiae based fingerprint matching; Biometrics; Data mining; Fingerprint recognition; Fingers; Image matching; Mutual information; Pattern matching; Robustness; Testing; Venus;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
ISSN :
1051-4651
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
Type :
conf
DOI :
10.1109/ICPR.2008.4761888
Filename :
4761888
Link To Document :
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