Fingerprint enhancement method based on wavelet and unsharp masking

  • Authors:

  • Lijian Zhou;Junwei Li;Xuemei Cui;Yunjie Liu

  • Affiliations:

  • School of Communication and Electronic Engineering, Qingdao Technological University, Qingdao, China;School of Communication and Electronic Engineering, Qingdao Technological University, Qingdao, China;School of Communication and Electronic Engineering, Qingdao Technological University, Qingdao, China;School of Communication and Electronic Engineering, Qingdao Technological University, Qingdao, China

  • Venue:
  • ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
  • Year:
  • 2012

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Abstract

In order to reserve more texture features of fingerprint while denoising, a new fingerprint enhancement method based on wavelet transform and unsharp masking is proposed in this paper, which uses multiresolution analysis and local time-frequency analysis characteristics of wavelet. First of all, a fingerprint image is decomposed by wavelet analysis. And then some different treatments are made for the different frequency graphs according to their different characteristics. Third, the initial enhanced fingerprint image is reconstructed by the wavelet coefficients which have been adjusted by before. Finally, unsharp masking is used to process the fingerprint image to enhance the details more. Experimental results show that this method can filter out the noise and enhance the texture features, and thus improve the qualities of the images.