Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Decision Combination in Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Artficial Immune Systems and Their Applications
Artficial Immune Systems and Their Applications
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Evolution of Emergent Organization in Immune System Gene Libraries
Proceedings of the 6th International Conference on Genetic Algorithms
Comparing Immue and Neural Networks
SBRN '02 Proceedings of the VII Brazilian Symposium on Neural Networks (SBRN'02)
Self-Nonself Discrimination in a Computer
SP '94 Proceedings of the 1994 IEEE Symposium on Security and Privacy
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
An improved face recognition technique based on modular PCA approach
Pattern Recognition Letters
Fusion of appearance-based face recognition algorithms
Pattern Analysis & Applications
Recent advances in visual and infrared face recognition: a review
Computer Vision and Image Understanding
Face recognition using point symmetry distance-based RBF network
Applied Soft Computing
2D and 3D face recognition: A survey
Pattern Recognition Letters
Application areas of AIS: The past, the present and the future
Applied Soft Computing
Journal of Cognitive Neuroscience
Face recognition: a convolutional neural-network approach
IEEE Transactions on Neural Networks
Face recognition by independent component analysis
IEEE Transactions on Neural Networks
An improved algorithm for face recognition using wavelet and facial parameters
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
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This paper proposes a face recognition method using artificial immune network classifiers based on Principal Component Analysis (PCA). The PCA abstracts principal eigenvectors of the image in order to get best feature description, hence to reduce the number of inputs of immune networks. After this, these image data of reduced dimensions are input into an immune network to be trained. Subsequently the antibodies of the immune networks are optimized using genetic algorithms. The performance of the present method was evaluated using the AT&T Laboratories Cambridge database (formerly called ORL face database). The results show that this method gains higher recognition rate in contrast with some other methods.