Development of Biometric Systems for Person Recognition: Biometric Feature Systems, Traits and Acquisition

Authors

  • E. Ivanovas Vilniaus Gedimino technikos universitetas
  • D. Navakauskas Vilniaus Gedimino technikos universitetas

Abstract

In this paper biometric feature systems and multimodal databases for biometric recognition systems are analyzed on the basis of scientific publications in IEEE Xplore digital library. It is shown that wavelet transform coefficients are the most universal feature used in biometric person recognition systems – it is among five frequently used features used in all five popular traits. Moreover, face is the most frequently used trait in multimodal person recognition systems – it is used along with 48 % of iris, 44 % of fingerprint, 33 % of voice and 24 % of signature multimodal systems. Analysis of 15 multimodal databases reveals the fact, that older multimodal databases, e. g., XM2VTS, are still widely used for comparison. However databases such as Biosecure are more versatile and should become more popular soon if a free access will be provided.

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Published

2010-04-27

How to Cite

Ivanovas, E., & Navakauskas, D. (2010). Development of Biometric Systems for Person Recognition: Biometric Feature Systems, Traits and Acquisition. Elektronika Ir Elektrotechnika, 101(5), 87-90. Retrieved from https://eejournal.ktu.lt/index.php/elt/article/view/9440

Issue

Vol. 101 No. 5 (2010)

Section

ELECTRONICS

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