Automatic fingerprint center point determination by using modified directional field and morphology

T. B J Andrew, T. S. Ong, N. C L David, Y. W. Sek

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Accurate and reliable center point determination of the fingerprint is an essential pre-processing step for the image based fingerprint recognition approach. This step is particularly important since a reference point is required to cancel the variation in position of the reference and testing fingerprint image. This paper illustrated an automatic center point determination algorithm that couples the modified averaged square directional field (MASDF) with morphological operation, in order to pinpoint the center point of the fingerprint efficiently and accurately. The experiment result shows only 3.13% rejection rate for the false center point by using the proposed method.

Original languageEnglish
Title of host publicationAI 2003
Subtitle of host publicationAdvances in Artificial Intelligence - 16th Australian Conference on AI, Proceedings
PublisherSpringer Verlag
Pages633-640
Number of pages8
Volume2903
ISBN (Print)9783540206460
Publication statusPublished - 2003 Jan 1
Event16th Australian Conference on Artificial Intelligence, AI 2003 - Perth, Australia
Duration: 2003 Dec 32003 Dec 5

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2903
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other16th Australian Conference on Artificial Intelligence, AI 2003
CountryAustralia
CityPerth
Period03/12/303/12/5

Fingerprint

Fingerprint
Testing
Processing
Experiments
Fingerprint Recognition
Morphological Operations
Reference Point
Cancel
Rejection
Preprocessing
Experiment

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Andrew, T. B. J., Ong, T. S., David, N. C. L., & Sek, Y. W. (2003). Automatic fingerprint center point determination by using modified directional field and morphology. In AI 2003: Advances in Artificial Intelligence - 16th Australian Conference on AI, Proceedings (Vol. 2903, pp. 633-640). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2903). Springer Verlag.
Andrew, T. B J ; Ong, T. S. ; David, N. C L ; Sek, Y. W. / Automatic fingerprint center point determination by using modified directional field and morphology. AI 2003: Advances in Artificial Intelligence - 16th Australian Conference on AI, Proceedings. Vol. 2903 Springer Verlag, 2003. pp. 633-640 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Andrew, TBJ, Ong, TS, David, NCL & Sek, YW 2003, Automatic fingerprint center point determination by using modified directional field and morphology. in AI 2003: Advances in Artificial Intelligence - 16th Australian Conference on AI, Proceedings. vol. 2903, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2903, Springer Verlag, pp. 633-640, 16th Australian Conference on Artificial Intelligence, AI 2003, Perth, Australia, 03/12/3.

Automatic fingerprint center point determination by using modified directional field and morphology. / Andrew, T. B J; Ong, T. S.; David, N. C L; Sek, Y. W.

AI 2003: Advances in Artificial Intelligence - 16th Australian Conference on AI, Proceedings. Vol. 2903 Springer Verlag, 2003. p. 633-640 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2903).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - Accurate and reliable center point determination of the fingerprint is an essential pre-processing step for the image based fingerprint recognition approach. This step is particularly important since a reference point is required to cancel the variation in position of the reference and testing fingerprint image. This paper illustrated an automatic center point determination algorithm that couples the modified averaged square directional field (MASDF) with morphological operation, in order to pinpoint the center point of the fingerprint efficiently and accurately. The experiment result shows only 3.13% rejection rate for the false center point by using the proposed method.

AB - Accurate and reliable center point determination of the fingerprint is an essential pre-processing step for the image based fingerprint recognition approach. This step is particularly important since a reference point is required to cancel the variation in position of the reference and testing fingerprint image. This paper illustrated an automatic center point determination algorithm that couples the modified averaged square directional field (MASDF) with morphological operation, in order to pinpoint the center point of the fingerprint efficiently and accurately. The experiment result shows only 3.13% rejection rate for the false center point by using the proposed method.

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Andrew TBJ, Ong TS, David NCL, Sek YW. Automatic fingerprint center point determination by using modified directional field and morphology. In AI 2003: Advances in Artificial Intelligence - 16th Australian Conference on AI, Proceedings. Vol. 2903. Springer Verlag. 2003. p. 633-640. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).