Automatic fingerprints image generation using evolutionary algorithm

Ung Keun Cho; Jin Hyuk Hong; Sung Bae Cho

doi:10.1007/978-3-540-74549-5_115

Automatic fingerprints image generation using evolutionary algorithm

Ung Keun Cho, Jin Hyuk Hong, Sung Bae Cho

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Constructing a fingerprint database is important to evaluate the performance of an automatic fingerprint recognition system. Because of the difficulty in collecting fingerprint samples, there are only few benchmark databases available. Moreover, various types of fingerprints should be required to get a fair assessment on how robust the system is against various environments. This paper presents a novel method that generates various fingerprint images automatically from only a few training samples by using the genetic algorithm. Fingerprint images generated by the proposed method include similar characteristics of those collected from the corresponding real environment. Experiments with real fingerprints verify the usefulness of the proposed method.

Original language	English
Title of host publication	Advances in Biometrics - International Conference, ICB 2007, Proceedings
Publisher	Springer Verlag
Pages	1104-1113
Number of pages	10
ISBN (Print)	9783540745488
DOIs	https://doi.org/10.1007/978-3-540-74549-5_115
Publication status	Published - 2007
Event	2007 International Conference on Advances in Biometrics, ICB 2007 - Seoul, Korea, Republic of Duration: 2007 Aug 27 → 2007 Aug 29

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4642 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	2007 International Conference on Advances in Biometrics, ICB 2007
Country	Korea, Republic of
City	Seoul
Period	07/8/27 → 07/8/29

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-540-74549-5_115

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Cho, U. K., Hong, J. H., & Cho, S. B. (2007). Automatic fingerprints image generation using evolutionary algorithm. In Advances in Biometrics - International Conference, ICB 2007, Proceedings (pp. 1104-1113). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4642 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-74549-5_115

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title = "Automatic fingerprints image generation using evolutionary algorithm",

abstract = "Constructing a fingerprint database is important to evaluate the performance of an automatic fingerprint recognition system. Because of the difficulty in collecting fingerprint samples, there are only few benchmark databases available. Moreover, various types of fingerprints should be required to get a fair assessment on how robust the system is against various environments. This paper presents a novel method that generates various fingerprint images automatically from only a few training samples by using the genetic algorithm. Fingerprint images generated by the proposed method include similar characteristics of those collected from the corresponding real environment. Experiments with real fingerprints verify the usefulness of the proposed method.",

author = "Cho, {Ung Keun} and Hong, {Jin Hyuk} and Cho, {Sung Bae}",

year = "2007",

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Cho, UK, Hong, JH & Cho, SB 2007, Automatic fingerprints image generation using evolutionary algorithm. in Advances in Biometrics - International Conference, ICB 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4642 LNCS, Springer Verlag, pp. 1104-1113, 2007 International Conference on Advances in Biometrics, ICB 2007, Seoul, Korea, Republic of, 07/8/27. https://doi.org/10.1007/978-3-540-74549-5_115

Automatic fingerprints image generation using evolutionary algorithm. / Cho, Ung Keun; Hong, Jin Hyuk; Cho, Sung Bae.

Advances in Biometrics - International Conference, ICB 2007, Proceedings. Springer Verlag, 2007. p. 1104-1113 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4642 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - Constructing a fingerprint database is important to evaluate the performance of an automatic fingerprint recognition system. Because of the difficulty in collecting fingerprint samples, there are only few benchmark databases available. Moreover, various types of fingerprints should be required to get a fair assessment on how robust the system is against various environments. This paper presents a novel method that generates various fingerprint images automatically from only a few training samples by using the genetic algorithm. Fingerprint images generated by the proposed method include similar characteristics of those collected from the corresponding real environment. Experiments with real fingerprints verify the usefulness of the proposed method.

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Cho UK, Hong JH, Cho SB. Automatic fingerprints image generation using evolutionary algorithm. In Advances in Biometrics - International Conference, ICB 2007, Proceedings. Springer Verlag. 2007. p. 1104-1113. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-74549-5_115