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%FACE RECOGNITION SYSTEM 
% 
% Face recognition system based on EigenFaces Method and Karhunen-Loeve algorithm 
% The system functions by projecting face images onto a feature space 
% that spans the significant variations among known face images. The 
% significant features are known as "eigenfaces" because they are the 
% eigenvectors (principal components) of the set of faces. 
% 
% Face images must be collected into sets: every set (called "class") should 
% include a number of images for each person, with some variations in  
% expression and in the lighting. When a new input image is read and added 
% to the training database, the number of class is required. Otherwise, a new  
% input image can be processed and confronted with all classes present in database. 
% We choose a number of eigenvectors M' equal to the number of classes (see  
% algorithmic details in the cited references). Before start image 
% processing first select input image. This image can be succesively added to 
% database (training) or, if a database is already present, matched with 
% known faces. 
% 
% Copy all files in Matlab current directory and type "facerec" on 
% Matlab command window. 
%  
% First, select an input image clicking on "Select image". 
% Then you can 
%   - add this image to database (click on "Add selected image to database" 
%   - perform face recognition (click on "Face Recognition" button) 
%     Note: If you want to perform face recognition database has to include  
%     at least one image. 
%  If you choose to add image to database, a positive integer (face ID) is 
%  required. This posivive integer is a progressive number which identifies 
%  a person (each person corresponds to a class). 
% For example: 
%  - run the GUI (type "facerec" on Matlab command window) 
%  - delete database (click on "Delete Database") 
%  - add "mike1.jpg" to database ---> the ID has to be 1 since Mike is the first 
%    person you are adding to database 
%  - add "mike2.jpg" to database ---> the ID has to be 1 since you have already 
%    added a Mike's image to database 
%  - add "paul1.jpg" to database ---> the ID has to be 2 since Paul is the second person 
%    you are adding to database 
%  - add "cindy1.jpg" to database ---> the ID has to be 3 since Cindy is 
%    the third person you are adding to database 
%  - add "paul2.jpg" to database ---> the ID has to be 2 once again since 
%    you have already added Paul to database 
%    
% ... and so on! Very simple, isnt't? :) 
%  
% The recognition gives as results the ID of nearest person present in 
% database. For example if you select image "paul3.jpg" the ID given SHOULD 
% be 2: "it should be" because errors are possible. 
% 
% 
% The images included are taken from AT&T Laboratories Cambridge's 
% Face DataBase. See the cited references for more informations. 
%  
%  
% FUNCTIONS 
% 
% Select image:                                  read the input image 
% 
% Add selected image to database:                the input image is added to database and will be used for training 
% 
% Database Info:                                 show informations about the images present in database. Images must  
%                                                have the same size. If this is not true you have to resize them. 
% 
% Face Recognition:                              face matching. The selected input image is processed  
% 
% Delete Database:                               remove database from the current directory 
% 
% Info:                                          show informations about this software 
% 
% Visualization tool:                            visualization utility 
% 
% Source code for Face Recognition System:       how to obtain the complete source code 
% 
% Exit:                                          quit program 
% 
% 
%  References: 
%   
%  AT&T Laboratories Cambridge. The ORL face database, Olivetti Research Laboratory available at 
%  http://www.uk.research.att.com/pub/data/att_faces.zip 
%  or http://www.uk.research.att.com/pub/data/att_faces.tar.Z 
% 
% 
% 
% 
% 
%***************************************************************** 
% Luigi Rosa 
% Via Centrale 35 
% 67042 Civita di Bagno 
% L'Aquila --- ITALY  
% email  luigi.rosa@tiscali.it 
% mobile +39 3207214179 
% website http://www.advancedsourcecode.com 
%***************************************************************** 
% 
%