Integration of multiple fingerprint matching algorithms

Miao Li Wen; Yan Liang; Quan Pan; Hong Cai Zhang

doi:10.1109/ICMLC.2006.258423

Integration of multiple fingerprint matching algorithms

Miao Li Wen, Yan Liang, Quan Pan, Hong Cai Zhang

School of Automation

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

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 using 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.

Original language	English
Title of host publication	Proceedings of the 2006 International Conference on Machine Learning and Cybernetics
Pages	3186-3189
Number of pages	4
DOIs	https://doi.org/10.1109/ICMLC.2006.258423
State	Published - 2006
Event	2006 International Conference on Machine Learning and Cybernetics - Dalian, China Duration: 13 Aug 2006 → 16 Aug 2006

Publication series

Name	Proceedings of the 2006 International Conference on Machine Learning and Cybernetics
Volume	2006

Conference

Conference	2006 International Conference on Machine Learning and Cybernetics
Country/Territory	China
City	Dalian
Period	13/08/06 → 16/08/06

Keywords

Filterbank
FVC2004
Minutiae
Multiple fingerprint matching

Access to Document

10.1109/ICMLC.2006.258423

Cite this

Wen, M. L., Liang, Y., Pan, Q., & Zhang, H. C. (2006). Integration of multiple fingerprint matching algorithms. In Proceedings of the 2006 International Conference on Machine Learning and Cybernetics (pp. 3186-3189). Article 4028615 (Proceedings of the 2006 International Conference on Machine Learning and Cybernetics; Vol. 2006). https://doi.org/10.1109/ICMLC.2006.258423

@inproceedings{847deccb7b4140db8597a2c68edc2488,

title = "Integration of multiple fingerprint matching algorithms",

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 using 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 = "Filterbank, FVC2004, Minutiae, Multiple fingerprint matching",

author = "Wen, {Miao Li} and Yan Liang and Quan Pan and Zhang, {Hong Cai}",

year = "2006",

doi = "10.1109/ICMLC.2006.258423",

language = "英语",

isbn = "1424400619",

series = "Proceedings of the 2006 International Conference on Machine Learning and Cybernetics",

pages = "3186--3189",

booktitle = "Proceedings of the 2006 International Conference on Machine Learning and Cybernetics",

note = "2006 International Conference on Machine Learning and Cybernetics ; Conference date: 13-08-2006 Through 16-08-2006",

}

Wen, ML, Liang, Y, Pan, Q & Zhang, HC 2006, Integration of multiple fingerprint matching algorithms. in Proceedings of the 2006 International Conference on Machine Learning and Cybernetics., 4028615, Proceedings of the 2006 International Conference on Machine Learning and Cybernetics, vol. 2006, pp. 3186-3189, 2006 International Conference on Machine Learning and Cybernetics, Dalian, China, 13/08/06. https://doi.org/10.1109/ICMLC.2006.258423

Integration of multiple fingerprint matching algorithms. / Wen, Miao Li; Liang, Yan; Pan, Quan et al.
Proceedings of the 2006 International Conference on Machine Learning and Cybernetics. 2006. p. 3186-3189 4028615 (Proceedings of the 2006 International Conference on Machine Learning and Cybernetics; Vol. 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Pan, Quan

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N2 - Integration of various fingerprint matching algorithm is a viable method to improve the performance of a fingerprint identification system. In this paper, we firstly using 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.

AB - Integration of various fingerprint matching algorithm is a viable method to improve the performance of a fingerprint identification system. In this paper, we firstly using 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.

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Y2 - 13 August 2006 through 16 August 2006

ER -

Integration of multiple fingerprint matching algorithms

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Keywords

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