% 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.% mpaper        - Allows to enter handwritten characters by mouse.% ocr_fun       - Classifies numerals and displays result.   % save_chars    - Saves images to file.% train_ocr     - Trains OCR classifier based on multiclass SVM.% tune_ocr      - Tunes SVM for OCR problem.%% ocrmodel.mat  - SVM model used by OCR system.%% Description:%  First try%    demo_ocr%%  The demo_ocr allows to draw hand-written numerals from 0 to 9 and %  classify them by multi-class SVM. The standard computer mouse %  is used as the input device.%%  The complete set of function necessary to design the OCR are %  included. To train your own OCR proceed as follows:%   - Collecting training set. Use 'collect_chars' to draw your %     examples of numerals or other characters. Then save all training %     examples to a directory DataDir.%   - Tuning SVM parameters. Customize the file 'tune_ocr' or%     use already tuned SVM paramater.%   - Training SVM model: Customize the file 'train_ocr' and run it.  %   - Run OCR demo 'demo_ocr'.%     % About: Statistical Pattern Recognition Toolbox% (C) 1999-2003, Written by Vojtech Franc and Vaclav Hlavac% <a href="http://www.cvut.cz">Czech Technical University Prague</a>% <a href="http://www.feld.cvut.cz">Faculty of Electrical Engineering</a>% <a href="http://cmp.felk.cvut.cz">Center for Machine Perception</a>% Modifications:% 05-jun-2004, VF% 04-jun-2004, VF% 10-sep-2003, VF