By Topic

A Reproducible Performance Evaluation Method for Forged Fingerprint Detection Algorithm

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)
Yong-Nyuo Shin ; Bank of Korea, Seoul, South Korea ; Myung Geun Chun ; Woochang Shin

As biometric technologies such as fingerprint recognition technology become more widespread, the danger posed by security attacks using forged fingerprints is increasing. To counter this threat, diverse technologies are being developed to detect fingerprint forgery. However, thus far there has no method of evaluating the performance of forged fingerprint detection algorithms that has been confirmed to be reliable by achieving reproducible performance test results. This paper proposes a method for objective performance evaluation of forged fingerprint technology. Unlike previous methods of evaluating the performance of forged fingerprint detection algorithms, the proposed performance evaluation method can reproduce evaluation results, and can be used for technology evaluation. To eliminate the ambiguity of the method and express it in a formal manner, the Evaluation Model of Forged Fingerprint Detection (EMFFD) has been developed. In addition, various metrics have been defined to measure the performance evaluation of forged fingerprints.

Published in:

Information Science and Applications (ICISA), 2010 International Conference on

Date of Conference:

21-23 April 2010