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% Face recognition by Santiago Serrano clear all close all clc % number of images on your training set. M=10; %Chosen std and mean. %It can be any number that it is close to the std and mean

%ex_sprec (Unrealistic) example of isolated word recognition % (in speaker-dependent mode) with the h2m functions. % % Beware : This is not a real demo, so you should take a look at the %

function stprpath(toolboxroot) % STPRPATH sets path to Statistical Pattern Recognition Toolbox. % % Synopsis: % stprpath % stprpath(toolboxroot) % % Description: % stprpath(toolboxroot) se

function stprpath(toolboxroot) % STPRPATH sets path to Statistical Pattern Recognition Toolbox. % % Synopsis: % stprpath % stprpath(toolboxroot) % % Description: % stprpath(toolboxroot) se

% Demo on Optical Character Recognition (OCR) for handwritten numerals. % % models (dir) - Different SVM models trained for OCR system. % % collect_chars - Collecting training examples for OCR. % mpa

% Demos of the Statistical Pattern Recognition Toolbox. % % image_denoising - (dir) Image denoising using kernel PCA. % ocr - (dir) Object Character Recognition. % % demo_anderson - G

% DEMO_OCR Demo on Optical Character Recognition using SVM. % % Synopsis: % demo_ocr; % % Description: % For more information type 'help ocr'. % % About: Statistical Pattern Recognition Toolbox %

/* /* Description: Implements the training of the embedded /* hidden markov model for face recognition */ #ifndef _Utils_H_ #define _Utils_H_ //Disable OpenCv type cast warning #pragma wa

/* /* Description: Implements the recognition using embedded /* hidden markov model for face recognition */ #ifndef _RecognizeEHMM_H_ #define _RecognizeEHMM_H_ //Disable OpenCv type cast w

In this file we have a SVM_toolbox for matlab. The file irwls.m solves the SVM for pattern recognition. The files irwls1.m solves the SVM for regression estimation. The files svcplot and svrp