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Image enhancement method for fingerprint recognition system.

Shunshan Li1, Min Wei, Haiying Tang

  • 1Imaging Research Center, University of California, Davis, Sacramento, CA, U.S.A. 95817.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 7, 2007
PubMed
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This study presents a refined Gabor filter for fingerprint image enhancement. The method improves ridge connectivity and compensates for deformations, enhancing fingerprint recognition system performance.

Area of Science:

  • Biometrics
  • Image Processing
  • Computer Vision

Background:

  • Fingerprint recognition systems rely heavily on image quality.
  • Existing enhancement methods may struggle with ridge breaks and nonlinear deformations.
  • Effective image enhancement is crucial for accurate fingerprint matching.

Purpose of the Study:

  • To introduce a refined Gabor filter for fingerprint image enhancement.
  • To address limitations in current fingerprint enhancement techniques.
  • To improve the overall performance of fingerprint recognition systems.

Main Methods:

  • Development of a refined Gabor filter algorithm.
  • Application of the filter to fingerprint images.
  • Evaluation of enhancement capabilities including ridge connection and deformation compensation.

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Main Results:

  • The refined Gabor filter successfully connects broken ridges.
  • Maximal gray values are accurately located at ridge centers.
  • The method effectively compensates for nonlinear deformations in fingerprint images.
  • Demonstrated improvement in fingerprint image quality.

Conclusions:

  • The refined Gabor filter is an effective method for fingerprint image enhancement.
  • This technique enhances key features necessary for accurate fingerprint recognition.
  • The proposed method offers a significant improvement over existing approaches.