Face Detection System

Version 7.1.0.0 (202 ko) par Omid Sakhi
Face Detection using Gabor feature extraction and Neural Network
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86,9K téléchargements
Mise à jour 22 mars 2016

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Note de l’éditeur : Popular File 2010 2011 2012

Version 7.1
Added an empty folder "data" to fix a bug.
Version 7.0
Adds the implementation of a neural network.
Please visit the official website for this program at the address:

http://www.facedetectioncode.com

You will find instructions on how to run the program, some basic diagrams of the algorithm and also a forum and a contact page to discuss about it.

To run the program:

1- copy all files and directories to the MATLAB's work folder
* In order to run the program you must have Image Processing Toolbox

2- find the file named "main.m"

3- Double click on this file or type "main" in the command window

4- a menu will be shown . click on "Train Network" and wait until the program is done with the training

5- click on "Test on Photos". A dialog box will be appeared. Select a .jpg photo

6- Wait until the program detects some faces

Citation pour cette source

Omid Sakhi (2024). Face Detection System (https://www.mathworks.com/matlabcentral/fileexchange/11073-face-detection-system), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2015b
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux

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Version Publié le Notes de version
7.1.0.0

Added one empty folder "data" to fix a bug reported by the users.
1.14.0.0

Version 7.0 adds the implementation of a neural network.
1.12.0.0

Some fixes are applied for executing the program under Linux CentOS
1.10.0.0

replacing two functions with built-in functions, so that older versions of MATLAB can run the program correctly.
1.8.0.0

Two fixes are solved.
1- correcting path for linux systems
2- problem of mapminmax for older versions of MATLAB
1.4.0.0

I have only changed the description and added the address of the website for this program.
1.3.0.0

Fixing the FIle Format
1.1.0.0

one article ( in Persian ) and one user guide ( in English ) are added to the project.