Aggregating membership values by a Choquet-fuzzy-integral based operator
Fuzzy Sets and Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Principal Manifolds and Probabilistic Subspaces for Visual Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Discriminant Waveletfaces and Nearest Feature Classifiers for Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition using the mixture-of-eigenfaces method
Pattern Recognition Letters
Face recognition: component-based versus global approaches
Computer Vision and Image Understanding - Special issue on Face recognition
Face recognition with radial basis function (RBF) neural networks
IEEE Transactions on Neural Networks
Face recognition by independent component analysis
IEEE Transactions on Neural Networks
Face recognition using kernel direct discriminant analysis algorithms
IEEE Transactions on Neural Networks
Componentwise decomposition of some lattice-valued fuzzy integrals
Information Sciences: an International Journal
Study of Facial Features Combination Using a Novel Adaptive Fuzzy Integral Fusion Model
IEICE - Transactions on Information and Systems
Face recognition using principle components and linear discriminant analysis
ISPRA'09 Proceedings of the 8th WSEAS international conference on Signal processing, robotics and automation
Fuzzy Sets and Systems
A novel multi-stage classifier for face recognition
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
The Henstock-Stieltjes integral for fuzzy-number-valued functions
Information Sciences: an International Journal
Support vector machines ensemble based on fuzzy integral for classification
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
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We study two approaches to fuzzy information fusion for face recognition involving aggregation of local and global face information and a wavelet decomposition approach. The former is concerned with a fuzzy information fusion involving both feature-based (e.g., eye, nose, and mouth) and template-based (global face) approaches to face recognition. The latter is associated with fuzzy information fusion based on four subimages (that is approximation, horizontal, vertical, and diagonal detailed images) using wavelet decomposition method. Making use of these two approaches, we design classifiers based on the well-known fisherface method. We demonstrate that the proposed method comes with better performance when compared with other template-based techniques and shows substantial insensitivity to large variation in light direction and facial expression. The fusion of the individual classifiers is realized by means of the Choquet fuzzy integral. The experimental results produced for FERET face database with 600 frontal face images corresponding to 200 subjects quantifies the performance of the classifier and contrast it with some other approaches existing in the literature.