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