Title :
Learning Radial Basis Function Model with Matching Score Quality for Person Authentication in Multimodal Biometrics
Author :
Choi, Hyunsoek ; Shin, Miyoung
Author_Institution :
Dept. of Electron. Eng., Kyungpook Nat. Univ., Daegu, South Korea
Abstract :
Recently multimodal biometrics technology that employs more than two types of biometrics data has been popularly used for person authentication and verification. In particular, the score-level fusion approach which combines matching scores from unimodal systems to make final decision has gained lots of attentions. In most of these works, however, they assume all the matching scores to be of the same quality. This assumption may cause the problem not to reflect such situation that the qualities of the matching scores from certain unimodal systems are relatively low. To deal with this problem, we propose the RBF based score-level fusion approach which incorporates the quality information of the scores in developing classification models. According to our experimental results, the proposed method using quality information showed its superiority in the performance of person authentication to the usual RBF based score-level fusion without using quality information.
Keywords :
biometrics (access control); learning (artificial intelligence); pattern matching; radial basis function networks; biometrics data; learning radial basis function model; matching score quality; matching scores; multimodal biometrics technology; person authentication; person verification; quality information; score-level fusion; scores quality information; unimodal systems; Authentication; Bioinformatics; Biometrics; Computer science; Data engineering; Database systems; Deductive databases; Neural networks; Support vector machine classification; Support vector machines; Multimodal Biometrics; NIST BSSR1; Quality; RBFN;
Conference_Titel :
Intelligent Information and Database Systems, 2009. ACIIDS 2009. First Asian Conference on
Conference_Location :
Dong Hoi
Print_ISBN :
978-0-7695-3580-7
DOI :
10.1109/ACIIDS.2009.49