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Application for Handwritten Devnagari Optical Character Recognition


Affiliations
1 Department of CSE, TCOER, Pune, India
     

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Recently research towards Indian handwritten character recognition has increased. Many such approaches have been proposed by the researchers towards handwritten Indian character recognition and many such similar kind of systems are available in the literature. In OCR domain, a unique feature extraction method and unique classification algorithm is not efficient. As a result an extraction approach i.e. based on a structural analysis for recognition of offline handwritten Marathi character is proposed.


Keywords

Preprocessing, Image Binarization, Morphological Operators, Dilation, Skew Correction, Segmentation, Feature Extraction.
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  • Application for Handwritten Devnagari Optical Character Recognition

Abstract Views: 262  |  PDF Views: 4

Authors

Prasad Chavan
Department of CSE, TCOER, Pune, India
Suyog Sankpal
Department of CSE, TCOER, Pune, India
Akshay Sonawane
Department of CSE, TCOER, Pune, India
Shahid Shaikh
Department of CSE, TCOER, Pune, India

Abstract


Recently research towards Indian handwritten character recognition has increased. Many such approaches have been proposed by the researchers towards handwritten Indian character recognition and many such similar kind of systems are available in the literature. In OCR domain, a unique feature extraction method and unique classification algorithm is not efficient. As a result an extraction approach i.e. based on a structural analysis for recognition of offline handwritten Marathi character is proposed.


Keywords


Preprocessing, Image Binarization, Morphological Operators, Dilation, Skew Correction, Segmentation, Feature Extraction.