Spectral Minutiae Representations for Fingerprint Recognition

H. Xu; Raymond N.J. Veldhuis

doi:10.1109/IIHMSP.2010.90

Spectral Minutiae Representations for Fingerprint Recognition

H. Xu
, Raymond N.J. Veldhuis

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

5 Citations (Scopus)

418 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 language	English
Title of host publication	2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2010)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	341-345
Number of pages	5
ISBN (Print)	978-1-4244-8378-5
DOIs	https://doi.org/10.1109/IIHMSP.2010.90
Publication status	Published - Oct 2010
Event	2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2010 - Technische Universitat Darmstadt, Darmstadt, Germany Duration: 15 Oct 2010 → 17 Oct 2010 Conference number: 6

Conference

Conference	2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2010
Abbreviated title	IIH-MSP
Country/Territory	Germany
City	Darmstadt
Period	15/10/10 → 17/10/10

Keywords

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

Access to Document

10.1109/IIHMSP.2010.90

2010_IIH-MSP_Xu_finalAccepted author version, 287 KB

Cite this

@inproceedings{52abca8831ee4eccbf6e474bcfb99af6,

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.\}",

year = "2010",

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doi = "10.1109/IIHMSP.2010.90",

language = "English",

isbn = "978-1-4244-8378-5",

pages = "341--345",

booktitle = "2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2010)",

publisher = "IEEE",

address = "United States",

note = "2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2010, IIH-MSP ; Conference date: 15-10-2010 Through 17-10-2010",

}

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, 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, 2010. p. 341-345.

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

TY - GEN

T1 - Spectral Minutiae Representations for Fingerprint Recognition

AU - Xu, H.

AU - Veldhuis, Raymond N.J.

N1 - Conference code: 6

PY - 2010/10

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N2 - 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.

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.

KW - IR-74550

KW - SCS-Safety

KW - EWI-18771

KW - METIS-271123

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DO - 10.1109/IIHMSP.2010.90

M3 - Conference contribution

SN - 978-1-4244-8378-5

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EP - 345

BT - 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2010)

PB - IEEE

CY - Piscataway, NJ

T2 - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2010

Y2 - 15 October 2010 through 17 October 2010

ER -