Hybrid Framework for Robust Multimodal Face Recognition
نویسندگان
چکیده
Both two dimensional principal component analysis and fisher linear discriminant analysis are successful face recognition algorithms. Recognition rate, time complexity can be improved by combining the two algorithms with the very powerful tool discrete wavelet transform. Experiments on the ORL face database show that the proposed method outperforms PCA, LDA, DWT+LDA algorithms in terms of recognition rate and classification speed. The proposed method is very powerful and useful in solving face recognition problems.
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