An Intrinsic Coordinate System for Fingerprint Matching

A.M. Bazen, Sabih H. Gerez

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

13 Citations (Scopus)

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 languageUndefined
Title of host publicationthe 3rd International Conference on Audio- and Video-based Biometric Person Authentication (AVBPA)
EditorsJ. Bigun, F. Smeraldi
Place of PublicationLondon
PublisherSpringer
Pages198-204
Number of pages7
ISBN (Print)3540422161
DOIs
Publication statusPublished - 6 Jun 2001

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Verlag
Volume2091

Keywords

  • SCS-Safety
  • EWI-13285
  • regular regions
  • intrinsic coordinate system
  • plastic distortions
  • flow lines
  • Fingerprint matching
  • IR-62435
  • METIS-201488

Cite this

Bazen, A. M., & Gerez, S. H. (2001). An Intrinsic Coordinate System for Fingerprint Matching. In J. Bigun, & F. Smeraldi (Eds.), the 3rd International Conference on Audio- and Video-based Biometric Person Authentication (AVBPA) (pp. 198-204). [10.1007/3-540-45344-X_28] (Lecture Notes in Computer Science; Vol. 2091). London: Springer. https://doi.org/10.1007/3-540-45344-X_28
Bazen, A.M. ; Gerez, Sabih H. / An Intrinsic Coordinate System for Fingerprint Matching. the 3rd International Conference on Audio- and Video-based Biometric Person Authentication (AVBPA). editor / J. Bigun ; F. Smeraldi. London : Springer, 2001. pp. 198-204 (Lecture Notes in Computer Science).
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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 = "SCS-Safety, EWI-13285, regular regions, intrinsic coordinate system, plastic distortions, flow lines, Fingerprint matching, IR-62435, METIS-201488",
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Bazen, AM & Gerez, SH 2001, An Intrinsic Coordinate System for Fingerprint Matching. in J Bigun & F Smeraldi (eds), the 3rd International Conference on Audio- and Video-based Biometric Person Authentication (AVBPA)., 10.1007/3-540-45344-X_28, Lecture Notes in Computer Science, vol. 2091, Springer, London, pp. 198-204. https://doi.org/10.1007/3-540-45344-X_28

An Intrinsic Coordinate System for Fingerprint Matching. / Bazen, A.M.; Gerez, Sabih H.

the 3rd International Conference on Audio- and Video-based Biometric Person Authentication (AVBPA). ed. / J. Bigun; F. Smeraldi. London : Springer, 2001. p. 198-204 10.1007/3-540-45344-X_28 (Lecture Notes in Computer Science; Vol. 2091).

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

TY - GEN

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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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Bazen AM, Gerez SH. An Intrinsic Coordinate System for Fingerprint Matching. In Bigun J, Smeraldi F, editors, the 3rd International Conference on Audio- and Video-based Biometric Person Authentication (AVBPA). London: Springer. 2001. p. 198-204. 10.1007/3-540-45344-X_28. (Lecture Notes in Computer Science). https://doi.org/10.1007/3-540-45344-X_28