Detection of cores in fingerprints with improved dimension reduction

A.M. Bazen; Raymond N.J. Veldhuis

Detection of cores in fingerprints with improved dimension reduction

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

Abstract

In this paper, we present a statistical approach to core detection in fingerprint images that is based on the likelihood ratio, using models of variation of core templates and randomly chosen templates. Additionally, we propose an alternative dimension reduction method. Unlike standard linear discriminant analysis (LDA), this method is able to account for differences in both the mean and the covariance matrix of two classes. We show that the method is able to correctly detect the core position in 95% of the fingerprints.

Original language	Undefined
Title of host publication	4th IEEE Benelux Signal Processing Symposium (SPS-2004)
Place of Publication	secretariat Delft
Publisher	IEEE Benelux Signal Processing Chapter
Pages	41-44
Number of pages	4
Publication status	Published - Apr 2004
Event	4th IEEE Benelux Signal Processing Symposium, SPS 2004 - Hilvarenbeek, Netherlands Duration: 15 Apr 2004 → 16 Apr 2004 Conference number: 4

Conference

Conference	4th IEEE Benelux Signal Processing Symposium, SPS 2004
Abbreviated title	SPS
Country/Territory	Netherlands
City	Hilvarenbeek
Period	15/04/04 → 16/04/04

Keywords

SCS-Safety
EWI-756

Cite this

@inproceedings{fdf35c0add8a449e9c0d22c8720260d6,

title = "Detection of cores in fingerprints with improved dimension reduction",

abstract = "In this paper, we present a statistical approach to core detection in fingerprint images that is based on the likelihood ratio, using models of variation of core templates and randomly chosen templates. Additionally, we propose an alternative dimension reduction method. Unlike standard linear discriminant analysis (LDA), this method is able to account for differences in both the mean and the covariance matrix of two classes. We show that the method is able to correctly detect the core position in 95% of the fingerprints.",

keywords = "SCS-Safety, EWI-756",

author = "A.M. Bazen and Veldhuis, {Raymond N.J.}",

note = "Imported from DIES; null ; Conference date: 15-04-2004 Through 16-04-2004",

year = "2004",

month = apr,

language = "Undefined",

pages = "41--44",

booktitle = "4th IEEE Benelux Signal Processing Symposium (SPS-2004)",

publisher = "IEEE Benelux Signal Processing Chapter",

}

TY - GEN

T1 - Detection of cores in fingerprints with improved dimension reduction

AU - Bazen, A.M.

AU - Veldhuis, Raymond N.J.

N1 - Conference code: 4

PY - 2004/4

Y1 - 2004/4

N2 - In this paper, we present a statistical approach to core detection in fingerprint images that is based on the likelihood ratio, using models of variation of core templates and randomly chosen templates. Additionally, we propose an alternative dimension reduction method. Unlike standard linear discriminant analysis (LDA), this method is able to account for differences in both the mean and the covariance matrix of two classes. We show that the method is able to correctly detect the core position in 95% of the fingerprints.

AB - In this paper, we present a statistical approach to core detection in fingerprint images that is based on the likelihood ratio, using models of variation of core templates and randomly chosen templates. Additionally, we propose an alternative dimension reduction method. Unlike standard linear discriminant analysis (LDA), this method is able to account for differences in both the mean and the covariance matrix of two classes. We show that the method is able to correctly detect the core position in 95% of the fingerprints.

KW - SCS-Safety

KW - EWI-756

M3 - Conference contribution

SP - 41

EP - 44

BT - 4th IEEE Benelux Signal Processing Symposium (SPS-2004)

PB - IEEE Benelux Signal Processing Chapter

CY - secretariat Delft

Y2 - 15 April 2004 through 16 April 2004

ER -