An Intrinsic Coordinate System for Fingerprint Matching

Asker M. Bazen; Sabih H. Gerez

doi:10.1007/3-540-45344-X_28

An Intrinsic Coordinate System for Fingerprint Matching

Asker M. Bazen
, Sabih H. Gerez

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

14 Citations (Scopus)

13 Downloads (Pure)

Abstract

In this paper, an intrinsic coordinate system is proposed for fingerprints. First the fingerprint is partitioned in regular regions, which are regions that contain no singular points. In each regular region, the intrinsic coordinate system is defined by the directional field. When using the intrinsic coordinates instead of pixel coordinates, minutiae are defined with respect to their position in the directional field. The resulting intrinsic minutiae coordinates can be used in a plastic distortioninvariant fingerprint matching algorithm. Plastic distortions, caused by pressing the 3-dimensional elastic fingerprint surface on a flat sensor, now deform the entire coordinate system, leaving the intrinsic minutiae coordinates unchanged. Therefore, matching algorithms with tighter tolerance margins can be applied to obtain better performance.

Original language	English
Title of host publication	Audio- and Video-Based Biometric Person Authentication
Subtitle of host publication	Third International Conference, AVBPA 2001 Halmstad, Sweden, June 6-8, 2001. Proceedings
Editors	Josef Bigun, Fabrizio Smeraldi
Place of Publication	London
Publisher	Springer
Pages	198-204
Number of pages	7
ISBN (Electronic)	978-3-540-45344-4
ISBN (Print)	978-3-540-42216-7
DOIs	https://doi.org/10.1007/3-540-45344-X_28
Publication status	Published - 6 Jun 2001
Event	3rd International Conference on Audio- and Video-based Biometric Person Authentication, AVBPA 2001 - Halmstad, Sweden Duration: 6 Jun 2001 → 8 Jun 2001 Conference number: 3

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	2091
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Conference on Audio- and Video-based Biometric Person Authentication, AVBPA 2001
Abbreviated title	AVBPA
Country/Territory	Sweden
City	Halmstad
Period	6/06/01 → 8/06/01

Keywords

n/a OA procedure
Regular regions
Intrinsic coordinate system
Plastic distortions
Flow lines
Fingerprint matching
SCS-Safety

Access to Document

10.1007/3-540-45344-X_28

ArticleAccepted author version, 644 KB

Cite this

Bazen, A. M., & Gerez, S. H. (2001). An Intrinsic Coordinate System for Fingerprint Matching. In J. Bigun, & F. Smeraldi (Eds.), Audio- and Video-Based Biometric Person Authentication: Third International Conference, AVBPA 2001 Halmstad, Sweden, June 6-8, 2001. Proceedings (pp. 198-204). (Lecture Notes in Computer Science; Vol. 2091). Springer. https://doi.org/10.1007/3-540-45344-X_28

@inproceedings{b8da2f8999214939be1539cc780ffc82,

title = "An Intrinsic Coordinate System for Fingerprint Matching",

abstract = "In this paper, an intrinsic coordinate system is proposed for fingerprints. First the fingerprint is partitioned in regular regions, which are regions that contain no singular points. In each regular region, the intrinsic coordinate system is defined by the directional field. When using the intrinsic coordinates instead of pixel coordinates, minutiae are defined with respect to their position in the directional field. The resulting intrinsic minutiae coordinates can be used in a plastic distortioninvariant fingerprint matching algorithm. Plastic distortions, caused by pressing the 3-dimensional elastic fingerprint surface on a flat sensor, now deform the entire coordinate system, leaving the intrinsic minutiae coordinates unchanged. Therefore, matching algorithms with tighter tolerance margins can be applied to obtain better performance.",

keywords = "n/a OA procedure, Regular regions, Intrinsic coordinate system, Plastic distortions, Flow lines, Fingerprint matching, SCS-Safety",

author = "Bazen, \{Asker M.\} and Gerez, \{Sabih H.\}",

year = "2001",

month = jun,

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doi = "10.1007/3-540-45344-X\_28",

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editor = "Josef Bigun and Fabrizio Smeraldi",

booktitle = "Audio- and Video-Based Biometric Person Authentication",

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Bazen, AM & Gerez, SH 2001, An Intrinsic Coordinate System for Fingerprint Matching. in J Bigun & F Smeraldi (eds), Audio- and Video-Based Biometric Person Authentication: Third International Conference, AVBPA 2001 Halmstad, Sweden, June 6-8, 2001. Proceedings. Lecture Notes in Computer Science, vol. 2091, Springer, London, pp. 198-204, 3rd International Conference on Audio- and Video-based Biometric Person Authentication, AVBPA 2001, Halmstad, Sweden, 6/06/01. https://doi.org/10.1007/3-540-45344-X_28

An Intrinsic Coordinate System for Fingerprint Matching. / Bazen, Asker M.; Gerez, Sabih H.
Audio- and Video-Based Biometric Person Authentication: Third International Conference, AVBPA 2001 Halmstad, Sweden, June 6-8, 2001. Proceedings. ed. / Josef Bigun; Fabrizio Smeraldi. London: Springer, 2001. p. 198-204 (Lecture Notes in Computer Science; Vol. 2091).

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

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N2 - In this paper, an intrinsic coordinate system is proposed for fingerprints. First the fingerprint is partitioned in regular regions, which are regions that contain no singular points. In each regular region, the intrinsic coordinate system is defined by the directional field. When using the intrinsic coordinates instead of pixel coordinates, minutiae are defined with respect to their position in the directional field. The resulting intrinsic minutiae coordinates can be used in a plastic distortioninvariant fingerprint matching algorithm. Plastic distortions, caused by pressing the 3-dimensional elastic fingerprint surface on a flat sensor, now deform the entire coordinate system, leaving the intrinsic minutiae coordinates unchanged. Therefore, matching algorithms with tighter tolerance margins can be applied to obtain better performance.

AB - In this paper, an intrinsic coordinate system is proposed for fingerprints. First the fingerprint is partitioned in regular regions, which are regions that contain no singular points. In each regular region, the intrinsic coordinate system is defined by the directional field. When using the intrinsic coordinates instead of pixel coordinates, minutiae are defined with respect to their position in the directional field. The resulting intrinsic minutiae coordinates can be used in a plastic distortioninvariant fingerprint matching algorithm. Plastic distortions, caused by pressing the 3-dimensional elastic fingerprint surface on a flat sensor, now deform the entire coordinate system, leaving the intrinsic minutiae coordinates unchanged. Therefore, matching algorithms with tighter tolerance margins can be applied to obtain better performance.

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