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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 %

// // file: demo2rgn.rsp // desc: demo2 recognition response file // by: patrick ko shu pui // date: 27 apr 1992 // // 4 input units -i=4 // 4 output units -o=4 // 2 hidden layers -hh

// // file: demo1rgn.rsp // desc: demo1 recognition response file // by: patrick ko shu pui // date: 27 apr 1992 // // comment: // // The following response file is equivalent to the command

%% Character Recognition Example (I):Image Pre-processing %% Manual Cropping img = imread('sample.bmp'); imshow(img) imgGray = rgb2gray(img); imgCrop = imcrop(imgGray); imshow(imgCrop) %%

LIBRARY LVQ DESCRIPTION 'LVQ DLL (Release Version) Developed for the application Principal Components Analysis for Face Recognition by Sami Romdhani' EXETYPE WINDOWS CODE LOADONCALL

; pca.def : Declares the module parameters for the application. NAME PCA DESCRIPTION 'Principal Components Analysis for Face Recognition' EXETYPE WINDOWS CODE PRELOAD MOV

function Accuracy=Recognition(TrainFeature,TestFeature); %使用最近邻法进行识别 %输入TrainFeature为训练样本特征集；Test为Feature测试样本特征集 %返回值：Accuracy为正确识别率 [dim,TN_per,C]=size(TrainFeature); SN_per=size(TestFeature