.: Click here to download :.
The local binary pattern (LBP) was originally
designed for texture description. It is invariant to
monotonic grey-scale transformations which is very
important for texture analysis. Also due to the
computational simplicity processing of image in real time
is possible. With LBP it is possible to describe the texture
and shape of a digital image.
We have developed a fast approach for face recognition combining classifiers based on both micro texture in spatial domain provided by
local binary pattern and macro information in frequency domain acquired from the discrete cosine transform (DCT) and many other features to represent facial image.
We have tested code on 6146 faces, 477 classes (an average number of 13 faces for each class), obtaining an EER equal to 3.07%. The facial database
includes 6146 manually cropped 128-by-128 grayscale images. For some subjects, the images were taken at different times, varying the lighting, facial
expressions (open/closed eyes, smiling/not smiling, eye blinking, ...) and facial details (glasses/no glasses). Many images were taken against an inhomogeneous background with the subjects
in an upright, frontal position, with tolerance for some side movement. Database includes but not limited to most of common face datasets used in pattern
recognition, such as AT&T Face Database, JAFFE Database, Yale Database and much more.
Index Terms: Matlab, source, code, LBP, local, binary, pattern, patterns, dct, face, recognition, matching.
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Figure 1. Local binary patterns |
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A simple and effective source code for LBP Face Recognition System. |
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Demo code (protected
P-files) available for performance evaluation. Matlab Image Processing Toolbox, Matlab Wavelet Toolbox, Matlab Signal Processing Toolbox and Matlab Computer Vision Toolbox are required. |
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Release |
Date |
Major features |
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2.0 |
2013.12.03 |
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1.0 |
2013.09.08 |
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We recommend to check the secure connection to PayPal, in order to avoid any fraud. This donation has to be considered an encouragement to improve the code itself. |
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LBP Face Recognition System - Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 1400 EUROS (less
than 1960 U.S. Dollars). |
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Once you have done this, please email us luigi.rosa@tiscali.it As soon as possible (in a few days) you will receive our new release of LBP Face Recognition System. Alternatively, you can bestow using our banking coordinates:
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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 2006a. Matlab Image Processing Toolbox, Matlab Wavelet Toolbox, Matlab Signal Processing Toolbox and Matlab Computer Vision Toolbox are 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
be caused by the use of the code itself including all parts of
the source code.
