TY - GEN
T1 - Personalized learning and decision for multimodal biometrics
AU - Toh, Kar Ann
PY - 2004
Y1 - 2004
N2 - In this paper, we address the multi-modal biometric decision fusion problem. By exploring into the user-specific approach for learning and threshold setting, four possible paradigms for learning and decision making are investigated. Since each user requires a decision hyperplane specific to him in order to achieve good verification accuracy, those tedious iterative training methods like the neural network approach would not be suitable. We propose to use a model which requires only a single training step for this application. The four global and local learning and decision paradigms are then explored to observe their decision capabilities. Besides proposal of a relevant receiver operating characteristic performance for local decision, extensive experiments were conducted to observe the verification performance for fusion of three biometrics.
AB - In this paper, we address the multi-modal biometric decision fusion problem. By exploring into the user-specific approach for learning and threshold setting, four possible paradigms for learning and decision making are investigated. Since each user requires a decision hyperplane specific to him in order to achieve good verification accuracy, those tedious iterative training methods like the neural network approach would not be suitable. We propose to use a model which requires only a single training step for this application. The four global and local learning and decision paradigms are then explored to observe their decision capabilities. Besides proposal of a relevant receiver operating characteristic performance for local decision, extensive experiments were conducted to observe the verification performance for fusion of three biometrics.
UR - http://www.scopus.com/inward/record.url?scp=11244268559&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=11244268559&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:11244268559
SN - 0780386442
SN - 9780780386440
T3 - 2004 IEEE Conference on Cybernetics and Intelligent Systems
SP - 1111
EP - 1116
BT - 2004 IEEE Conference on Cybernetics and Intelligent Systems
T2 - 2004 IEEE Conference on Cybernetics and Intelligent Systems
Y2 - 1 December 2004 through 3 December 2004
ER -