Neural Networks - DCT for Face Identification

By Luigi Rosa Free

Developer's 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.

Full Specifications

What's new in version 1

General

Release November 7, 2008
Date Added June 7, 2006
Version 1

Operating Systems

Operating Systems Windows 95, Windows 98, Windows Me, Windows, Windows XP, Windows NT, Windows 2000, Windows 3.x
Additional Requirements Windows 3.x/95/98/Me/NT/2000/XP/2003 Server, Matlab Image Processing Neural Network Toolboxes

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