Spectral minutiae representations of fingerprints enhanced by quality data

H. Xu; Raymond N.J. Veldhuis

doi:10.1109/BTAS.2009.5339064

Spectral minutiae representations of fingerprints enhanced by quality data

H. Xu, Raymond N.J. Veldhuis

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

15 Citations (Scopus)

175 Downloads (Pure)

Abstract

Many fingerprint recognition systems are based on minutiae matching. However, the recognition accuracy of minutiae-based matching algorithms is highly dependent on the fingerprint minutiae quality. Therefore, in this paper, we introduce a quality integrated spectral minutiae algorithm, in which the minutiae quality information is incorporated to enhance the performance of the spectral minutiae fingerprint recognition system. In our algorithm, two types of quality data are used. The first one is the minutiae reliability, expressing the probability that a given point is indeed a minutia; the second one is the minutiae location accuracy, quantifying the error on the minutiae location. We integrate these two types of quality information into the spectral minutiae representation algorithm and achieve a decrease in the Equal Error Rate of over 20% in the experiment.

Original language	Undefined
Title of host publication	Biometrics: Theory, Applications, and Systems, 2009. BTAS '09. IEEE 3rd International Conference on
Place of Publication	Washington DC
Publisher	IEEE
Pages	1-5
Number of pages	5
ISBN (Print)	978-1-4244-5020-6
DOIs	https://doi.org/10.1109/BTAS.2009.5339064
Publication status	Published - Sept 2009
Event	3rd IEEE International Conference on Biometrics: Theory, Applications, and Systems, BTAS 2009 - Washington, United States Duration: 28 Sept 2009 → 30 Sept 2009 Conference number: 3

Publication series

Name
Publisher	IEEE Computer Society Press

Conference

Conference	3rd IEEE International Conference on Biometrics: Theory, Applications, and Systems, BTAS 2009
Abbreviated title	BTAS
Country/Territory	United States
City	Washington
Period	28/09/09 → 30/09/09

Keywords

IR-68979
SCS-Safety
EWI-17020
METIS-264249

Access to Document

10.1109/BTAS.2009.5339064

Cite this

@inproceedings{827e08dfe4b7430c82c65bafb43a42c8,

title = "Spectral minutiae representations of fingerprints enhanced by quality data",

abstract = "Many fingerprint recognition systems are based on minutiae matching. However, the recognition accuracy of minutiae-based matching algorithms is highly dependent on the fingerprint minutiae quality. Therefore, in this paper, we introduce a quality integrated spectral minutiae algorithm, in which the minutiae quality information is incorporated to enhance the performance of the spectral minutiae fingerprint recognition system. In our algorithm, two types of quality data are used. The first one is the minutiae reliability, expressing the probability that a given point is indeed a minutia; the second one is the minutiae location accuracy, quantifying the error on the minutiae location. We integrate these two types of quality information into the spectral minutiae representation algorithm and achieve a decrease in the Equal Error Rate of over 20% in the experiment.",

keywords = "IR-68979, SCS-Safety, EWI-17020, METIS-264249",

author = "H. Xu and Veldhuis, {Raymond N.J.}",

note = "10.1109/BTAS.2009.5339064 ; 3rd IEEE International Conference on Biometrics: Theory, Applications, and Systems, BTAS 2009 ; Conference date: 28-09-2009 Through 30-09-2009",

year = "2009",

month = sep,

doi = "10.1109/BTAS.2009.5339064",

language = "Undefined",

isbn = "978-1-4244-5020-6",

publisher = "IEEE",

pages = "1--5",

booktitle = "Biometrics: Theory, Applications, and Systems, 2009. BTAS '09. IEEE 3rd International Conference on",

address = "United States",

}

Xu, H & Veldhuis, RNJ 2009, Spectral minutiae representations of fingerprints enhanced by quality data. in Biometrics: Theory, Applications, and Systems, 2009. BTAS '09. IEEE 3rd International Conference on., 10.1109/BTAS.2009.5339064, IEEE, Washington DC, pp. 1-5, 3rd IEEE International Conference on Biometrics: Theory, Applications, and Systems, BTAS 2009, Washington, District of Columbia, United States, 28/09/09. https://doi.org/10.1109/BTAS.2009.5339064

Spectral minutiae representations of fingerprints enhanced by quality data. / Xu, H.; Veldhuis, Raymond N.J.
Biometrics: Theory, Applications, and Systems, 2009. BTAS '09. IEEE 3rd International Conference on. Washington DC: IEEE, 2009. p. 1-5 10.1109/BTAS.2009.5339064.

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

TY - GEN

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N2 - Many fingerprint recognition systems are based on minutiae matching. However, the recognition accuracy of minutiae-based matching algorithms is highly dependent on the fingerprint minutiae quality. Therefore, in this paper, we introduce a quality integrated spectral minutiae algorithm, in which the minutiae quality information is incorporated to enhance the performance of the spectral minutiae fingerprint recognition system. In our algorithm, two types of quality data are used. The first one is the minutiae reliability, expressing the probability that a given point is indeed a minutia; the second one is the minutiae location accuracy, quantifying the error on the minutiae location. We integrate these two types of quality information into the spectral minutiae representation algorithm and achieve a decrease in the Equal Error Rate of over 20% in the experiment.

AB - Many fingerprint recognition systems are based on minutiae matching. However, the recognition accuracy of minutiae-based matching algorithms is highly dependent on the fingerprint minutiae quality. Therefore, in this paper, we introduce a quality integrated spectral minutiae algorithm, in which the minutiae quality information is incorporated to enhance the performance of the spectral minutiae fingerprint recognition system. In our algorithm, two types of quality data are used. The first one is the minutiae reliability, expressing the probability that a given point is indeed a minutia; the second one is the minutiae location accuracy, quantifying the error on the minutiae location. We integrate these two types of quality information into the spectral minutiae representation algorithm and achieve a decrease in the Equal Error Rate of over 20% in the experiment.

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KW - SCS-Safety

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