please inform me how to extract features from ICDAR13 handwritten digits dataset to classify digits of groups 0-9 using SVM in matlab?

How to implement SVM to classify handwritten digits from 0-9 groups from ICDAR13 dataset in matlab?

Answer 1

[Image Analyst]

You can try the OCR capabilities in the Computer Vision System Toolbox: http://www.mathworks.com/help/vision/ref/ocr.html#bt548t1-2_1

[Dima Lisin]

ocr may not work well on hand-written digits.

[Image Analyst]

Then you can find handwriting algorithms listed in section 23.4.6 here: http://www.visionbib.com/bibliography/contentschar.html#OCR,%20Document%20Analysis%20and%20Character%20Recognition%20Systems

23.4.6 Roman Alphabet
    23.4.6.1 Roman Alphabet -- Machine Printed
    23.4.6.2 Handwritten Characters, Roman, Latin Alphabet
        23.4.6.2.1 Handwritten Characters, Feature Extraction
        23.4.6.2.2 Online Recognition of Handwritten Characters
        23.4.6.2.3 Handwritten Characters, Cursive Script, Surveys, Data, Comparisons, Evaluations 
    23.4.6.3 Handwriting, Cursive Script Recognition Systems
        23.4.6.3.1 Cursive Script, Word Level Recognition, Word Spotting, Language Model
        23.4.6.3.2 Cursive Script, Text Line Segmentation, Script Line, Segmentation, Text Line Extraction
        23.4.6.3.3 On-Line Cursive Script Recognition Systems 
    23.4.6.4 On-Line Signatures, Online Signatures
        23.4.6.4.1 Off Line Signature Analysis
        23.4.6.4.2 Recognition of the Person from Writing, Identification, Authorship, Writer Identification
        23.4.6.4.3 Signature Recognition, Surveys, Analysis, Comparisons 
    23.4.6.5 Arabic Numbers, Digits, Handwritten, Numeral Recognition
        23.4.6.5.1 Multiple Classifiers Applied to Arabic Numbers
        23.4.6.5.2 Numbers, Digits, Zip (Postal) Codes
        23.4.6.5.3 Neural Networks for Numbers and Digits

It's a list of published papers on handwriting analysis. Pick an algorithm and code it up.

Answer 2

[Dima Lisin]

Check out this example from the Computer Vision System Toolbox.