Spectral Minutiae Representations for Fingerprint Recognition

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)
31 Downloads (Pure)

Abstract

The spectral minutiae representation introduced in this paper is a novel method to represent a minutiae set as a fixed-length feature vector, which is invariant to translation, and in which rotation becomes translation that can be easily compensated for. These characteristics enable the combination of fingerprint recognition systems with a template protection scheme that requires a fixed-length feature vector as input. In this paper, we will first introduce the spectral minutiae representation scheme. Then we will present several biometric fusion approaches to improve the biometric system performance by combining multiple sources of biometric information. The algorithms are evaluated on the FVC2000-DB2 database and showed promising results.
Original languageEnglish
Title of host publication2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2010)
Place of PublicationPiscataway, NJ
PublisherIEEE Computer Society
Pages341-345
Number of pages5
ISBN (Print)978-1-4244-8378-5
DOIs
Publication statusPublished - Oct 2010
Event2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2010 - Technische Universitat Darmstadt, Darmstadt, Germany
Duration: 15 Oct 201017 Oct 2010
Conference number: 6

Conference

Conference2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2010
Abbreviated titleIIH-MSP
CountryGermany
CityDarmstadt
Period15/10/1017/10/10

Fingerprint

Biometrics
Fusion reactions

Keywords

  • IR-74550
  • SCS-Safety
  • EWI-18771
  • METIS-271123

Cite this

Xu, H., & Veldhuis, R. N. J. (2010). Spectral Minutiae Representations for Fingerprint Recognition. In 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2010) (pp. 341-345). Piscataway, NJ: IEEE Computer Society. https://doi.org/10.1109/IIHMSP.2010.90
Xu, H. ; Veldhuis, Raymond N.J. / Spectral Minutiae Representations for Fingerprint Recognition. 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2010). Piscataway, NJ : IEEE Computer Society, 2010. pp. 341-345
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title = "Spectral Minutiae Representations for Fingerprint Recognition",
abstract = "The spectral minutiae representation introduced in this paper is a novel method to represent a minutiae set as a fixed-length feature vector, which is invariant to translation, and in which rotation becomes translation that can be easily compensated for. These characteristics enable the combination of fingerprint recognition systems with a template protection scheme that requires a fixed-length feature vector as input. In this paper, we will first introduce the spectral minutiae representation scheme. Then we will present several biometric fusion approaches to improve the biometric system performance by combining multiple sources of biometric information. The algorithms are evaluated on the FVC2000-DB2 database and showed promising results.",
keywords = "IR-74550, SCS-Safety, EWI-18771, METIS-271123",
author = "H. Xu and Veldhuis, {Raymond N.J.}",
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address = "United States",

}

Xu, H & Veldhuis, RNJ 2010, Spectral Minutiae Representations for Fingerprint Recognition. in 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2010). IEEE Computer Society, Piscataway, NJ, pp. 341-345, 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2010, Darmstadt, Germany, 15/10/10. https://doi.org/10.1109/IIHMSP.2010.90

Spectral Minutiae Representations for Fingerprint Recognition. / Xu, H.; Veldhuis, Raymond N.J.

2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2010). Piscataway, NJ : IEEE Computer Society, 2010. p. 341-345.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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AB - The spectral minutiae representation introduced in this paper is a novel method to represent a minutiae set as a fixed-length feature vector, which is invariant to translation, and in which rotation becomes translation that can be easily compensated for. These characteristics enable the combination of fingerprint recognition systems with a template protection scheme that requires a fixed-length feature vector as input. In this paper, we will first introduce the spectral minutiae representation scheme. Then we will present several biometric fusion approaches to improve the biometric system performance by combining multiple sources of biometric information. The algorithms are evaluated on the FVC2000-DB2 database and showed promising results.

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KW - METIS-271123

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Xu H, Veldhuis RNJ. Spectral Minutiae Representations for Fingerprint Recognition. In 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2010). Piscataway, NJ: IEEE Computer Society. 2010. p. 341-345 https://doi.org/10.1109/IIHMSP.2010.90