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Recognizing human gender plays an important role in
many human computer interaction (HCI) areas. For example, search
engines need an image
filter to determine the gender of people in images from
the Internet; demographic research can use gender information
extracted from images to count the number of men
and women entering a shopping mall or movie theater; a
“smart building”might use gender for surveillance and control
of access to certain areas. Besides these kinds of
broad applications, gender recognition itself is an important
research topic in both psychology and computer vision.
In psychology studies for HCI, the main focus
is about how humans discriminate between males and
females and what kind of features are more discriminative.
A successful gender classification approach can boost
the performance of many other applications including face
recognition and smart human-computer interfaces. Despite
its importance, it has received relatively little attention in
the literature.
We have developed a system for facial gender recognition that is
capable to extract from
image most informative features using an approach based on genetic algorithms.
The code has been tested with Stanford Medical Student Face Database
achieving an excellent recognition rate
of 93.60% (200 female images and 200 male images, 90% used for
training and 10% used for testing, hence
there are 360 training images and 40 test images in total randomly
selected and no overlap exists between
the training and test images).
Index Terms: Matlab, source, code, gender, recognition, male, female, genetic, algorithm, algorithms, GA.
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Figure 1. Facial image |
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A simple and effective source code for Gender Recognition Based on Genetic Algorithms. |
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Demo code (protected
P-files) available for performance evaluation. Matlab Image Processing Toolbox is required. |
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Release |
Date |
Major features |
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1.0 |
2010.05.18 |
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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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Gender Recognition Based on Genetic Algorithms - Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 200 EUROS (less
than 280 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 Gender Recognition Based on Genetic Algorithms. 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 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
be caused by the use of the code itself including all parts of
the source code.
