Recognition of Similar Shaped Handwritten Marathi Characters Using Artificial Neural Network

§ Prof.Ram Meghe Institute of Research & Technology, B...

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Recognition of Similar Shaped Handwritten Marathi Characters Using Artificial Neural Network

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Abstract

The growing need have handwritten Marathi character recognition in Indian offices such as passport, railways etc has made it vital area of a research. Similar shape characters are more prone to misclassification. In this paper a novel method is provided to recognize handwritten Marathi characters based on their features extraction and adaptive smoothing technique. Feature selections methods avoid unnecessary patterns in an image whereas adaptive smoothing technique form smooth shape of charecters. Combination of both these approaches leads to the better results. Previous study shows that, no one technique achieves 100% accuracy in handwritten character recognition area. This approach of combining both adaptive smoothing & feature extraction gives better results (approximately 75-100) and expected outcomes.

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

virendra nikam, Prof.Mukesh. 2012. "Recognition of Similar Shaped Handwritten Marathi Characters Using Artificial Neural Network". Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 12 (GJCST Volume 12 Issue D11).

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
GJCST-D Classification I.5.2
Version of record

v1.2

Issue date
September 15, 2012

Language
English
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Recognition of Similar Shaped Handwritten Marathi Characters Using Artificial Neural Network

virendra nikam
virendra nikam Prof.Ram Meghe Institute of Research & Technology, Badnera .
Prof.Mukesh
Prof.Mukesh <p>Prof.Ram Meghe Institute of Research & Technology, Badnera .</p>