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Off-line Handwritten Devnagri Special Character Recognition Using Neural Network

Authors(2):

Nitin I. Jagtap, Prof. Pravin S. Kulkarni
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The aim of this paper is to develop software which can recognize off line Devnagri special character which is made up of half consonant and consonant and special characters which is half form of consonant form scanned images of written documents using neural network. This paper will help to support easily digitization of the Devnagri script. Using this methodology for reorganization of the special characters of Devnagri script it is also easy to digitize the books written in Devnagri because ability of this methodology not only recognizes the normal characters but also the special characters. Some conventional methods like feature extraction and edge detection will be used for pre-processing the characters. These characters will be analysed by comparing its features. The process of data training of samples collected by different people will be followed after previous process. The proposed method will provide accuracy up-to 90% for special characters of Devnagri script with less training time.

Nitin I. Jagtap, Prof. Pravin S. Kulkarni

Feature Extraction; Edge Detection; Training Time.

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Publication Details

Published in : Volume 2 | Issue 3 | May-June - 2016
Date of Publication Print ISSN Online ISSN
2016-06-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
881-886 IJSRSET1623241   Technoscience Academy

Cite This Article

Nitin I. Jagtap, Prof. Pravin S. Kulkarni, "Off-line Handwritten Devnagri Special Character Recognition Using Neural Network", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 3, pp.881-886, May-June-2016.
URL : http://ijsrset.com/IJSRSET1623241.php

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