Computer Vision and Image Understanding
Multi-level Fusion for Semantic Video Content Indexing and Retrieval
Adaptive Multimedial Retrieval: Retrieval, User, and Semantics
Multimodal biometrics: state of the art in fusion techniques
International Journal of Biometrics
Eye state classification based on multi-feature fusion
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
A SVM face recognition method based on optimized Gabor features
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Face verification with feature fusion of Gabor based and curvelet based representations
Multimedia Tools and Applications
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Information Fusion of multi-modal Biometrics has attracted much attention in recent years. However, this paper focuses on the information fusion in single modals, that is, the face Biometric. Two different representation methods, gray level intensity and Gabor feature, are exploited for fusion. We study the fusion problem in face recognition at both the face representation level and the confidence level. At the representation level, both the PCA feature fusion and the LDA feature fusion are considered, while at the confidence level, the sum rule and the product rule are investigated. We show through experiments on FERET face database and our own face database that appropriate information fusion can improve the performance of face recognition and verification. This suggests that gray level intensity and Gabor feature compensate for each other, based on the feasible fusion.