SUPPORT VECTOR MACHINE BASED GUJARATI NUMERAL RECOGNITION

In this paper we propose the Support Vector Machine (SVM) based recognition scheme towards the recognition of Gujarati handwritten numerals. The preprocessing is done considering morphological operations. For computing the features, each isolated numeral is segmented into blocks. These blocks create...

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Bibliographic Details
Published inInternational journal on computer science and engineering Vol. 3; no. 7; pp. 2595 - 2600
Main Authors Maloo, M, Kale, K V
Format Journal Article
LanguageEnglish
Published 01.07.2011
Subjects
Approximation
Classifiers
Computation
Handwriting recognition
Invariants
Preprocessing
Recognition
Support vector machines
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Summary:In this paper we propose the Support Vector Machine (SVM) based recognition scheme towards the recognition of Gujarati handwritten numerals. The preprocessing is done considering morphological operations. For computing the features, each isolated numeral is segmented into blocks. These blocks create base for four sets of features. Then we derived affine invariant moments as features. The features obtained from these blocks are fed to SVM classifier. We obtained the recognition rate of 91% approximately.
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ISSN:0975-3397
0975-3397