Automatic fingerprints image generation using evolutionary algorithm

Ung Keun Cho, Jin Hyuk Hong, Sung Bae Cho

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

4 Citations (Scopus)

Abstract

Constructing a fingerprint database is important to evaluate the performance of automatic fingerprint recognition systems. Because of the difficulty in collecting fingerprint samples, there are only few benchmark databases available. Moreover, various types of fingerprints are required to measure how robust the system is in 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 a corresponding real environment. Experiments with real fingerprints verify the usefulness of the proposed method.

Original languageEnglish
Title of host publicationNew Trends in Applied Artificial Intelligence - 20th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems, lEA/AlE 2007, Proceedings
Pages444-453
Number of pages10
Publication statusPublished - 2007 Dec 24
Event20th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems, lEA/AlE-2007 - Kyoto, Japan
Duration: 2007 Jun 262007 Jun 29

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4570 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other20th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems, lEA/AlE-2007
CountryJapan
CityKyoto
Period07/6/2607/6/29

Fingerprint

Fingerprint
Evolutionary algorithms
Evolutionary Algorithms
Genetic algorithms
Fingerprint Recognition
Experiments
Training Samples
Genetic Algorithm
Benchmark
Verify
Evaluate
Experiment

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Cho, U. K., Hong, J. H., & Cho, S. B. (2007). Automatic fingerprints image generation using evolutionary algorithm. In New Trends in Applied Artificial Intelligence - 20th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems, lEA/AlE 2007, Proceedings (pp. 444-453). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4570 LNAI).
Cho, Ung Keun ; Hong, Jin Hyuk ; Cho, Sung Bae. / Automatic fingerprints image generation using evolutionary algorithm. New Trends in Applied Artificial Intelligence - 20th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems, lEA/AlE 2007, Proceedings. 2007. pp. 444-453 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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abstract = "Constructing a fingerprint database is important to evaluate the performance of automatic fingerprint recognition systems. Because of the difficulty in collecting fingerprint samples, there are only few benchmark databases available. Moreover, various types of fingerprints are required to measure how robust the system is in 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 a corresponding real environment. Experiments with real fingerprints verify the usefulness of the proposed method.",
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Cho, UK, Hong, JH & Cho, SB 2007, Automatic fingerprints image generation using evolutionary algorithm. in New Trends in Applied Artificial Intelligence - 20th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems, lEA/AlE 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4570 LNAI, pp. 444-453, 20th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems, lEA/AlE-2007, Kyoto, Japan, 07/6/26.

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

New Trends in Applied Artificial Intelligence - 20th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems, lEA/AlE 2007, Proceedings. 2007. p. 444-453 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4570 LNAI).

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

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N2 - Constructing a fingerprint database is important to evaluate the performance of automatic fingerprint recognition systems. Because of the difficulty in collecting fingerprint samples, there are only few benchmark databases available. Moreover, various types of fingerprints are required to measure how robust the system is in 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 a corresponding real environment. Experiments with real fingerprints verify the usefulness of the proposed method.

AB - Constructing a fingerprint database is important to evaluate the performance of automatic fingerprint recognition systems. Because of the difficulty in collecting fingerprint samples, there are only few benchmark databases available. Moreover, various types of fingerprints are required to measure how robust the system is in 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 a 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 New Trends in Applied Artificial Intelligence - 20th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems, lEA/AlE 2007, Proceedings. 2007. p. 444-453. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).