By Topic

Evaluation of fingerprint orientation field registration algorithms

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

2 Author(s)
N. Yager ; Sch. of Comput. Sci. & Eng., New South Wales Univ., Sydney, NSW, Australia ; A. Amin

The majority of modern, fingerprint registration algorithms are based on the alignment of minutiae features. However, shortcomings of this approach are becoming apparent due to the difficulty of extracting minutiae from noisy or low quality images. This papers explores a novel approach to fingerprint registration based on orientation field alignment. One main advantage of this method is that orientation fields can be computed reliably for poor quality images, providing a robust feature for registration. Three orientation field alignment algorithms are presented, and their performance is evaluated using an FVC2002 dataset.

Published in:

Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on  (Volume:4 )

Date of Conference:

23-26 Aug. 2004