Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Coarse-to-Fine Fingerprint Matching Using Principal Gabor Basis Functions

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
$31 $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

4 Author(s)
Lee, C.J. ; Chinese Culture Univ., Taipei ; Yang, T.N. ; Jeng, I.H. ; Lin, K.L.

In this paper, we adopt a unified viewpoint to represent local ridge orientation (LRO) and local ridge frequency (LRF) and extract important features (including cores, deltas, and minutiae) by using PGBF-based approach. Based on the continuity of ridge structures, a local fingerprint image is represented by a principal Gabor basis functions (PGBF) because PGBF only has large response values with similar LRO and LRF. Owing to the discontinuity of ridge structures, on the contrast, the positions of important points have small response values than their surroundings. Owing to the unified PGBF-based viewpoint, therefore, fewer steps are applied for important points extraction in fingerprint enrollment. To speed up the procedure of minutiae matching in fingerprint verification, besides, we propose a different procedure to directly check the positions of minutiae in gray-level fingerprint images from coarse level to fine level. So some time-consuming overall pixel-level computations are avoided, and then an efficient fingerprint matching is achieved.

Published in:

Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on  (Volume:2 )

Date of Conference:

8-11 Oct. 2006