Printed and Handwritten Character & Number Recognition of Devanagari Script using gradient features | Zendy

Anilkumar N. Holambe | Zendy; Dr.Ravinder.C. Thool | Zendy; Dr.S.M. Jagade | Zendy

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Printed and Handwritten Character & Number Recognition of Devanagari Script using gradient features

Author(s) -

Anilkumar N. Holambe,

Dr.Ravinder.C. Thool,

Dr.S.M. Jagade

Publication year - 2010

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/692-972

Subject(s) - devanagari , computer science , character (mathematics) , character recognition , artificial intelligence , speech recognition , natural language processing , pattern recognition (psychology) , image (mathematics) , geometry , mathematics

In this paper we are extracting feature of handwritten and ISM printed characters of devanagri script. we are extracting Gradient feature of the devanagari script ,for that we are using two operators i.e. Sobel and Robert operator respectively . Here we are computing gradient in 8,12,16,32 directions and getting different feature vectors respectively. We are using each directional vector separately for classification.

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