Discriminant Analysis of Stochastic Models and Its Application to Face Recognition
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Combination of Fisher scores and appearance based features for face recognition
WBMA '03 Proceedings of the 2003 ACM SIGMM workshop on Biometrics methods and applications
Real time 2-D face detection using color ratios and K-mean clustering
Proceedings of the 44th annual Southeast regional conference
An Efficient Wavelet Based Feature Extraction Method for Face Recognition
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Scale-invariant visual language modeling for object categorization
IEEE Transactions on Multimedia - Special issue on integration of context and content
A robust wavelet based feature extraction method for face recognition
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Face recognition based on multi-class mapping of Fisher scores
Pattern Recognition
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In this paper, we introduce a Hybrid Hidden Markov Model (HMM) face recognition system. The proposed system contains a low-complexity 2-D HMM-based face recognition (LC 2D-HMM FR) module that carries out a complete search in the compressed-domain followed by a 1-D HMM-based face recognition (1D-HMM FR) module which refines the search based on a candidate list provided by the first module. We also examine a remote database search methodology that may be helpful for accessing remote resources, where no prior information is assumed regarding the contents of the remote database. The performance of the Hybrid HMM face recognition system is reported for both, local and remote database search modes.