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% 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
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