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Study and Analysis of Multilingual Hand Written Characters Recognition Using SVM Classifier


Affiliations
1 Department of Information Technology, G. B. Pant University of Agriculture and Technology, Pantnagar, India
 

Day by day the researchers are trying to make such characters recognition system that can be able to detect the writing and languages of individuals, for this multilingual handwritten characters recognition is such system that playing a vital role for recognizing the characters written in different languages and in different styles. The research work presented in this thesis aims to do the study and analysis to recognize the multilingual handwritten characters with a high level of accuracy and for this purpose the classifier that we are using is support vector machine. Here in this work we have used the languages like Hindi and English and along with this we have taken special characters and numerals and tried to recognize them with our system.

Keywords

OCR, Handwritten Characters,Recognition,SVM.
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Abstract Views: 211

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  • Study and Analysis of Multilingual Hand Written Characters Recognition Using SVM Classifier

Abstract Views: 211  |  PDF Views: 7

Authors

Ujwal Singh Vohra
Department of Information Technology, G. B. Pant University of Agriculture and Technology, Pantnagar, India
Shri Prakash Dwivedi
Department of Information Technology, G. B. Pant University of Agriculture and Technology, Pantnagar, India
H. L. Mandoria
Department of Information Technology, G. B. Pant University of Agriculture and Technology, Pantnagar, India

Abstract


Day by day the researchers are trying to make such characters recognition system that can be able to detect the writing and languages of individuals, for this multilingual handwritten characters recognition is such system that playing a vital role for recognizing the characters written in different languages and in different styles. The research work presented in this thesis aims to do the study and analysis to recognize the multilingual handwritten characters with a high level of accuracy and for this purpose the classifier that we are using is support vector machine. Here in this work we have used the languages like Hindi and English and along with this we have taken special characters and numerals and tried to recognize them with our system.

Keywords


OCR, Handwritten Characters,Recognition,SVM.

References