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An approach for enhancing fingerprint images using adaptive Gabor filter parameters

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Abstract

This work proposes a technique to enhance fingerprint images through the Gabor filter with adaptive parameters. Firstly, the average ridge and valley of each region as well as their direction are evaluated by a specific directional field algorithm. Secondly, since the filter orientation and the frequency parameters vary according to the fingerprint area, the fingerprint topological structure is enhanced by the Gabor filter with adaptive parameters. Finally, experimental tests show accurate final results for the matching step of an on-line recognition process.

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Authors and Affiliations

  1. Universidade Federal Fluminense, Passo da Patria St., 156, Bl. E, 24.210-240, Niteroi, RJ, Brazil

    S. L. Gonzaga de O, F. Viola & A. Conci

Authors
  1. S. L. Gonzaga de O
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  2. F. Viola
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  3. A. Conci
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Corresponding author

Correspondence to S. L. Gonzaga de O.

Additional information

The text was submitted by the authors in English.

Sanderson L. Gonzaga de Oliveira graduated from the Pontificia Universidade Catolica do Parana in 1996 and received his M.Sc. degree in 2004. Currently, he is a doctoral candidate in the Universidade Federal Fluminense, Brazil. His research interests include Image Processing and Computer Modeling. Author of 15 papers.

A. Conci is a Dr.Sc. professor in the Department of Computer Science in Universidade Federal Fluminense. Her research interests include Biomechanics, Applications of Computer Vision, and Image Processing.

F. M. Viola received his B.Sc. in Computer Science in 1999 and his M.Sc. at Universidade Federal Fluminense in 2006. His research interests include Biometrics and Image Processing.

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Gonzaga de O, S.L., Viola, F. & Conci, A. An approach for enhancing fingerprint images using adaptive Gabor filter parameters. Pattern Recognit. Image Anal. 18, 497–506 (2008). https://doi.org/10.1134/S105466180803019X

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  • DOI: https://doi.org/10.1134/S105466180803019X

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