Face Recognition based on Radial Basis Function and Clustering Algorithm
نویسنده
چکیده
This project consists of two parts. The first part is a general review of the previous and current research on human face recognition, including initial motivation, approaches, major problems and solutions, etc. The second part propose a new method for learning of radial basis function (RBF) neural networks which is based on subtractive clustering algorithm(SCA) and its application to face recognition. Experiments on face recognition using ORL database show feasibility of the method. Results present that RBF neural networks classifier using proposed algorithm is more precise and faster than corresponding one using general K-means clustering algorithm.
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