Design and implementation of Log-Gabor filter in fingerprint image enhancement

  • Authors:
  • Wei Wang;Jianwei Li;Feifei Huang;Hailiang Feng

  • Affiliations:
  • Pattern Recognition Lab, Optoelectronic Engineering College, Chongqing University, Chongqing 400030, China;Pattern Recognition Lab, Optoelectronic Engineering College, Chongqing University, Chongqing 400030, China;Pattern Recognition Lab, Optoelectronic Engineering College, Chongqing University, Chongqing 400030, China;Pattern Recognition Lab, Optoelectronic Engineering College, Chongqing University, Chongqing 400030, China

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2008

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Abstract

The performance of automatic fingerprint identification system relies heavily on the quality of fingerprint images. Fingerprint enhancement is essential to ensure the robustness of fingerprint identification with respect to the image quality. Gabor filtering is the most popular method in fingerprint enhancement. To overcome the limitations of traditional Gabor filter and promote fingerprint enhancement performance, the Log-Gabor filter is introduced in this paper. The design method and implementation scheme of Log-Gabor filter in fingerprint enhancement are described in detail. The enhancement performance is assessed on standard fingerprint databases. Experimental results show that the proposed Log-Gabor filtering method can effectively improve the fingerprint image quality and promote the reliability of fingerprint identification.