By Topic

Fingerprint recognition using DCT features

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 $31
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)
Amornraksa, T. ; Comput. Eng. Dept., King Mongkut''s Univ. of Technol. Thonburi, Bangkok, Thailand ; Tachaphetpiboon, S.

A method of fingerprint recognition based on the DCT features of a discrete image is proposed. Its performance is evaluated by the k-nearest neighbour (k-NN) classifier. Experimental results show the achievement of the proposed method in terms of the recognition rate and the low computational effort.

Published in:

Electronics Letters  (Volume:42 ,  Issue: 9 )