Neural Networks - DCT for Face Identification Neural Networks - DCT for Face Identification is a free utility that will minimize image information redundancy
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code source minimize image size image information matlab cyclic redundancy check redundancy analysis canonical redundancy analysis cyclic redundancy checksum

Neural Networks - DCT for Face Identification Description

Neural Networks - DCT for Face Identification. Matlab source code. High information redundancy and correlation in face images result in inefficiencies when such images are used directly for recognition. Discrete cosine transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches. Matlab Image Processing Toolbox and Matlab Neural Network Toolbox are required.

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