DocumentCode :
2896175
Title :
Integration of Multiple Fingerprint Matching Algorithms
Author :
Wen, Miao-li ; Liang, Yan ; Pan, Quan ; Zhang, Hong-cai
Author_Institution :
Coll. of Autom., Northwestern Polytech. Univ., Xi´´an
fYear :
2006
fDate :
13-16 Aug. 2006
Firstpage :
3186
Lastpage :
3189
Abstract :
Integration of various fingerprint matching algorithm is a viable method to improve the performance of a fingerprint identification system. In this paper, we firstly use minutiae to align the input fingerprint image, then use filterbank-based matching algorithm. Secondly, we present a hybrid matching algorithm that uses both minutiae information and texture information. Results obtained on the FVC 2004 DB1-A database shows that a integration of the texture-based and minutiae-based matching scores leads to a substantial improvement in the overall matching performance
Keywords :
fingerprint identification; image matching; image texture; filterbank-based matching algorithm; fingerprint identification system; image texture feature; minutiae-based matching algorithm; multiple fingerprint matching algorithm integration; Automation; Biometrics; Cybernetics; Educational institutions; Filter bank; Fingerprint recognition; Image databases; Image matching; Iris; Machine learning; Machine learning algorithms; Matched filters; FVC2004; Multiple fingerprint matching; filterbank; minutiae;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
Type :
conf
DOI :
10.1109/ICMLC.2006.258423
Filename :
4028615
Link To Document :
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