Invariant Recognition Of Human Faces
نویسنده
چکیده
Visual communication plays an important role in human communication and interaction. In order to interact socially, we must be able to process faces in a variety of ways. In this paper, an algorithm for invariant recognition of human faces based on LVQ neural network is presented. The proposed system is shown to exhibit robustness in achieving better classification results with both good generalization performance and a fast training time on a variety of test problems using hundreds of faces. Sources of variability include facial expression, gender, individual appearance, tilt, lighting conditions, and occluding objects (hair, spectacles, etc). Key-Words: Pattern Recognition, Computer Vision, Adaptive Classification, Invariant Face Recognition.
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