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A Fingerprint Image Enhancement Method Based on Contourlet Transform

  • Xiukun Yang
  • Yong Chai
  • Zhigang Yang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 99)

Abstract

The quality of fingerprint image has great effect for its follow-up steps such as recognition. Therefore, an effective method is needed to enhance the collected fingerprint image. In this paper, a new fingerprint image enhancement approach combining contourlet transform and maximum modulus detection is proposed. Contourlet transform decomposes the input image into high-frequency part and low-frequency part. The maximum modulus detection is applied to the high-frequency image and the low-frequency image is used to compensate the high-frequency part. Experimental results demonstrate that the proposed method can effectively improve the quality of fingerprint image, increase the clarity of fingerprint ridges and valleys, and have better continuity.

Keywords

fingerprint image enhancement maximum modulus contourlet transform low-frequency compensation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Xiukun Yang
    • 1
  • Yong Chai
    • 1
  • Zhigang Yang
    • 1
  1. 1.College of Information and Communication EngineeringHarbin Engineering UniversityHarbinChina

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