Scheduled System Maintenance:
On Wednesday, July 29th, IEEE Xplore will undergo scheduled maintenance from 7:00-9:00 AM ET (11:00-13:00 UTC). During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Fingerprint based person identification & verification for commercial applications

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

3 Author(s)
Afsar, F.A. ; DCIS, PIEAS PO Nilore, Islamabad, Pakistan ; Arif, M. ; Hussain, M.

This paper presents the development of a simple automated fingerprint identification & verification system. The technique conferred in this paper is based on the extraction of feature vectors from the 2D FFT of the binarized image of a fingerprint using a wedge-ring extraction process. The technique used can accommodate a small degree of shift and rotation (within 15") in the placement of a fingerprint. The mechanism detailed in this paper also possesses a good recognition speed and therefore it can be used in conjunction with a fingerprint scanner for on-line fingerprint recognition. Simulation results obtained indicate low false acceptance (1%) and false rejection (5.5%) ratios. The proposed method is found to be reliable for systems with a small to medium sized set of fingerprint data.

Published in:

Multitopic Conference, 2004. Proceedings of INMIC 2004. 8th International

Date of Conference:

24-26 Dec. 2004