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We propose a biometric face recognition system based on local features. Informative feature locations in the face image are located by Gabor filters, which gives us an automatic system that is not dependent on accurate detection of facial features. The feature locations are typically located at positions with high information content (such as facial features), and at each of these positions we extract a feature vector consisting of Gabor coefficients.
Index Terms: face, recognition, Gabor filters, Gabor filtering, local features, Gabor coefficients, face matching, face recognition, face verification, feature vector.
Figure 1. Facial image
A simple and effective source code for Face Recognition Based on Local Features. All tests were performed on AT&T database.
Demo code (protected P-files) available for performance evaluation. Matlab Image Processing Toolbox is required.
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The authors have no relationship or partnership
with The Mathworks. All the code provided is written in Matlab
language (M-files and/or M-functions), with no dll or other
protected parts of code (P-files or executables). The code was
developed with Matlab 14 SP1. Matlab Image Processing Toolbox is required.
The code provided has to be considered "as is" and it is without any kind of warranty. The
authors deny any kind of warranty concerning the code as well
as any kind of responsibility for problems and damages which may
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