Automatic Fingerprints Image Generation Using Evolutionary Algorithm

  • Ung-Keun Cho
  • Jin-Hyuk Hong
  • Sung-Bae Cho
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4642)

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.

Keywords

fingerprint identification performance evaluation genetic algorithm image filtering image generation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Ung-Keun Cho
    • 1
  • Jin-Hyuk Hong
    • 1
  • Sung-Bae Cho
    • 1
  1. 1.Dept. of Computer Science, Yonsei University, Biometrics Engineering Research Center, 134 Sinchon-dong, Seodaemun-ku, Seoul 120-749Korea

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