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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.
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).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
v1.2
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Total Score: 107
Country: India
Subject: Global Journal of Computer Science and Technology - D: Neural & AI
Authors: Dr. Archana P.Jane, Prof.Mukesh.A.Pund (PhD/Dr. count: 1)
View Count (all-time): 497
Total Views (Real + Logic): 3219
Total Downloads (simulated): 288
Publish Date: 2012 01, Sun
Monthly Totals (Real + Logic):
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