TY - JOUR
T1 - Exploiting global and local decisions for multimodal biometrics verification
AU - Toh, Kar Ann
AU - Jiang, Xudong
AU - Yau, Wei Yun
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2004/10
Y1 - 2004/10
N2 - In this paper, we address the multimodal 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 that 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 capability. Besides the proposal of a relevant receiver operating characteristic performance for the local decision, extensive experiments were conducted to observe the verification performance for fusion of two and three biometrics.
AB - In this paper, we address the multimodal 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 that 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 capability. Besides the proposal of a relevant receiver operating characteristic performance for the local decision, extensive experiments were conducted to observe the verification performance for fusion of two and three biometrics.
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U2 - 10.1109/TSP.2004.833862
DO - 10.1109/TSP.2004.833862
M3 - Article
AN - SCOPUS:4744361171
VL - 52
SP - 3059
EP - 3072
JO - IEEE Transactions on Signal Processing
JF - IEEE Transactions on Signal Processing
SN - 1053-587X
IS - 10
ER -