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Face_and_Face_exsipression_Recognition

于 2010-06-30 发布 文件大小:11626KB
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  One of Biometrics fields is face recognition & face expression recognition ... 1- In face recognition .. we need to design authentication program by training a neural network ,there are two source codes..one of them is based on Discrete Wavelet Transform with Perceptron Neural Network.. and the other based on Discrete Cosine Transform with Perceptron Neural Network ... 2- In face expression recognition .. we defined the condition of the person (nature,happiness,disgust or anger) this source code is based on Principle component analysis(PCA) .. * we need to now about digital image processing ,neural network and PCA...

文件列表:

Face_and_Face_exsipression_Recognition
......................................\EBooks
......................................\......\DigitalImageProcessing-Matlab.pdf,4425270,2010-03-31
......................................\......\FaceRecog_PCA_Kim.pdf,229200,2010-04-26
......................................\......\Fundamentals Of Image Processing.pdf,1029794,2007-12-22
......................................\......\PCA_in_MATLAB.pdf,25247,2010-03-14
......................................\Source Codes
......................................\............\Face Expression Recognition(source code)
......................................\............\........................................\detect_face.m,2133,2010-06-30
......................................\............\........................................\EigenFace.ctf,1033707,2009-04-20
......................................\............\........................................\EigenFace.m,5554,2010-06-30
......................................\............\........................................\EigenFace.xex,11524,2009-04-20
......................................\............\........................................\README- How to Run.txt,1818,2009-04-20
......................................\............\........................................\Test





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......................................\............\........................................\Train





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......................................\............\Face Recognition
......................................\............\................\based on DCT

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