DocumentCode
2722325
Title
Multiple-sample fusion of matching scores in biometric systems
Author
Cheng, Xi ; Tulyakov, Sergey ; Govindaraju, Venu
Author_Institution
Center for Unified Biometrics & Sensors, Univ. at Buffalo, Buffalo, NY, USA
fYear
2011
fDate
20-25 June 2011
Firstpage
120
Lastpage
125
Abstract
If a biometric matching attempt does not succeed, the person might be asked to repeat authentication attempt second time. In such situations, the biometric system has acquired two test templates, and could construct a combined matching score, for example, by averaging two scores from the matches between these templates and the enrolled template. This paper investigates the enhancement of combination algorithm performance by utilizing the third score - the matching score between the two test templates. Two kinds of combination strategies are considered, linear combination and likelihood ratio. The results show, that using the scores between test templates can improve the performance of both linear and likelihood ratio combination methods. We illustrate the theory by experiments performed on four FVC2002 fingerprint databases.
Keywords
biometrics (access control); fingerprint identification; image fusion; image matching; FVC2002 fingerprint databases; biometric systems; combination algorithm enhancement; enrolled template; likelihood ratio combination methods; linear ratio combination methods; multiple sample fusion; score matching; Bayesian methods; Biometrics; Biosensors; Databases; Feature extraction; Sensor systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition Workshops (CVPRW), 2011 IEEE Computer Society Conference on
Conference_Location
Colorado Springs, CO
ISSN
2160-7508
Print_ISBN
978-1-4577-0529-8
Type
conf
DOI
10.1109/CVPRW.2011.5981827
Filename
5981827
Link To Document