By Topic

Score Based Biometric Template Selection and Update

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

5 Author(s)
Yong Li ; Sch. of Comput., Nat. Univ. of Defense Technol., Changsha, China ; Jianping Yin ; En Zhu ; Chunfeng Hu
more authors

A biometric system usually contains two stages: registration and authentication. Most biometric systems capture multiple samples of the same biometric trait at registration. As a result, it is essential to select several samples as templates. This paper proposes two algorithms maximum match scores (MMS) and greedy maximum match scores (GMMS) based on match scores for template selection and update. The proposed algorithms need not involve the specific details about the biometric data. Therefore, they are more flexible and can be used in various biometric systems. The two algorithms are compared with Random and sMDIST on the database of FVC2006DB1A, and the experimental results show that the proposed approaches can improve the accuracy of biometric system efficiently. Based on the maximized score model, we propose two strategies: ONLINE and OFFLINE for templates update. And then we analyze the relationship between them. Preliminary experiments demonstrate that OFFLINE strategy gains better performance.

Published in:

Future Generation Communication and Networking, 2008. FGCN '08. Second International Conference on  (Volume:3 )

Date of Conference:

13-15 Dec. 2008