By Topic

Robust Fingerprint Image Enhancement: An Improvement to Directional Analysis of Fingerprint Image Using Directional Gaussian Filtering and Non-subsampled Contourlet Transform

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Muhammad Talal Ibrahim ; Ryerson Multimedia Res. Lab., Ryerson Univ., Toronto, ON ; Tariq Bashir ; Ling Guan

In this paper, a new fingerprint image enhancement method based on the integration of directional Gaussian filtering and non-subsampled contourlet transform (NSCT) has been proposed. As the fingerprint images suffers from non-uniform illumination, so there is a need to completely remove or reduce the non-uniform illumination present in the fingerprint image before applying any enhancement technique. In this paper, we have used bandpass filter for the elimination of non-uniform illumination and for the creation of frequency ridge image. Further the directional noise present in the fingerprint image have been removed by using the directional Gaussian filter and the noise-free image was decomposed into non-subsampled directional images by using NSCT. Lately, we construct an enhanced image through a block-by-block process which compares the energy of all the directional images and picks the one that provides maximum energy. Further, binarization and thinning are also applied on the enhanced image.

Published in:

Multimedia, 2008. ISM 2008. Tenth IEEE International Symposium on

Date of Conference:

15-17 Dec. 2008