Elastic Minutiae Matching by Means of Thin-Plate Spline Models

A.M. Bazen; Sabih H. Gerez

doi:10.1109/ICPR.2002.1048471

Elastic Minutiae Matching by Means of Thin-Plate Spline Models

A.M. Bazen, Sabih H. Gerez

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

25 Citations (Scopus)

116 Downloads (Pure)

Abstract

This paper presents a novel minutiae matching method that deals with elastic distortions by normalizing the shape of the test fingerprint with respect to the template. The method first determines possible matching minutiae pairs by means of comparing local neighborhoods of the minutiae. Next a thin-plate spline model is used to describe the non-linear distortions between the two sets of possible pairs. One of the fingerprints is deformed and registered according to the estimated model, and then the number of matching minutiae is counted. This method is able to deal with all possible non-linear distortions while using very tight bounding boxes. For deformed fingerprints, the algorithm gives considerably higher matching scores compared to rigid matching algorithms, while only taking 100 ms on a 1 GHz P-III machine.

Original language	Undefined
Title of host publication	Proceedings of the International Conference on Pattern Recognition (ICPR)
Place of Publication	Quebec City, Canada
Publisher	IEEE
Pages	-
Number of pages	4
ISBN (Print)	0-7695-1699-8
DOIs	https://doi.org/10.1109/ICPR.2002.1048471
Publication status	Published - 11 Aug 2002
Event	16th International Conference on Pattern Recognition 2002 - Danvers, Canada, Quebec City, Canada Duration: 11 Aug 2002 → 15 Aug 2002 Conference number: 16

Publication series

Name
Publisher	IEEE
Volume	2

Conference

Conference	16th International Conference on Pattern Recognition 2002
Abbreviated title	ICPR 2002
Country/Territory	Canada
City	Quebec City
Period	11/08/02 → 15/08/02
Other	11-15 Aug. 2002

Keywords

Nonlinear distortion
splines (mathematics)
image matching
METIS-207588
IR-43864
Image registration
Fingerprint identification

Access to Document

10.1109/ICPR.2002.1048471

01048471

Cite this

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title = "Elastic Minutiae Matching by Means of Thin-Plate Spline Models",

abstract = "This paper presents a novel minutiae matching method that deals with elastic distortions by normalizing the shape of the test fingerprint with respect to the template. The method first determines possible matching minutiae pairs by means of comparing local neighborhoods of the minutiae. Next a thin-plate spline model is used to describe the non-linear distortions between the two sets of possible pairs. One of the fingerprints is deformed and registered according to the estimated model, and then the number of matching minutiae is counted. This method is able to deal with all possible non-linear distortions while using very tight bounding boxes. For deformed fingerprints, the algorithm gives considerably higher matching scores compared to rigid matching algorithms, while only taking 100 ms on a 1 GHz P-III machine.",

keywords = "Nonlinear distortion, splines (mathematics), image matching, METIS-207588, IR-43864, Image registration, Fingerprint identification",

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AU - Gerez, Sabih H.

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Y1 - 2002/8/11

N2 - This paper presents a novel minutiae matching method that deals with elastic distortions by normalizing the shape of the test fingerprint with respect to the template. The method first determines possible matching minutiae pairs by means of comparing local neighborhoods of the minutiae. Next a thin-plate spline model is used to describe the non-linear distortions between the two sets of possible pairs. One of the fingerprints is deformed and registered according to the estimated model, and then the number of matching minutiae is counted. This method is able to deal with all possible non-linear distortions while using very tight bounding boxes. For deformed fingerprints, the algorithm gives considerably higher matching scores compared to rigid matching algorithms, while only taking 100 ms on a 1 GHz P-III machine.

AB - This paper presents a novel minutiae matching method that deals with elastic distortions by normalizing the shape of the test fingerprint with respect to the template. The method first determines possible matching minutiae pairs by means of comparing local neighborhoods of the minutiae. Next a thin-plate spline model is used to describe the non-linear distortions between the two sets of possible pairs. One of the fingerprints is deformed and registered according to the estimated model, and then the number of matching minutiae is counted. This method is able to deal with all possible non-linear distortions while using very tight bounding boxes. For deformed fingerprints, the algorithm gives considerably higher matching scores compared to rigid matching algorithms, while only taking 100 ms on a 1 GHz P-III machine.

KW - Nonlinear distortion

KW - splines (mathematics)

KW - image matching

KW - METIS-207588

KW - IR-43864

KW - Image registration

KW - Fingerprint identification

U2 - 10.1109/ICPR.2002.1048471

DO - 10.1109/ICPR.2002.1048471

M3 - Conference contribution

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SP - -

BT - Proceedings of the International Conference on Pattern Recognition (ICPR)

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Y2 - 11 August 2002 through 15 August 2002

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