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 :
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