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  Published Paper Details:

  Paper Title

A GRADING OF WRITERS ON OFFLINE HANDWRITTEN RECOGNITION SYSTEM USING DEVANAGARI SCRIPT

  Authors

  ROZY

  Keywords

Gradation; Feature extraction; Peak extent based features;

  Abstract


Devanagari is the most popular script which is mostly used in India.This paper presents a technique for grading of writers based on offline handwritten Hindi characters written by them. This process is complex task because of different person have different handwriting style. This paper have some techniques such as diagonal feature extraction , zoning feature extraction that is used to find the feature of individual character and k-Nearest neighbor classifiers using Euclidean distance method is used for classification score for each character. For testing data set, we collected seventy five different writers sample. For training data set, we considered five printed Devanagari fonts, namely,Mangal, devlys , krishna,Kruti_dev and Utsaah.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1802695

  Paper ID - 183043

  Page Number(s) - 104-110

  Pubished in - Volume 6 | Issue 1 | March 2018

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  ROZY,   "A GRADING OF WRITERS ON OFFLINE HANDWRITTEN RECOGNITION SYSTEM USING DEVANAGARI SCRIPT", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.104-110, March 2018, Available at :http://www.ijcrt.org/papers/IJCRT1802695.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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