IJERT-EMS
IJERT-EMS

Conversion and Recognition of Handwritten Devnagari Character String into Printed Character String Using KNN


Conversion and Recognition of Handwritten Devnagari Character String into Printed Character String Using KNN
Authors : S. D. Pilawan , M V Bhalerao, Abhijeet Nandedkar, Sanjiv Bonde
Publication Date: 31-07-2017

Authors

Author(s):  S. D. Pilawan , M V Bhalerao, Abhijeet Nandedkar, Sanjiv Bonde

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Volume. 6 - Issue. 08 , August - 2017

e-ISSN:   2278-0181

 DOI:  http://dx.doi.org/10.17577/IJERTV6IS080009

Abstract

This paper presents a system for the conversion of handwritten string of Devnagari character to printed character string by using character segmentation approach. 11 different statistical features of segmented characters are extracted which are compared with features extracted from printed string of characters available in training data for cross validation purpose using K- nearest neighborhood (kNN) algorithm. Use of handwritten string of Devnagari characters written in different styles and converting it into printed string makes the system more prone to real life application. System mainly works on segmentation of characters using bounding box, after segmentation, features are extracted which is compared with training feature set. We have analyzed our system with existing Devnagari handwritten character recognition systems. In given framework, we have focused on a creating database in different styles and recognizing them as printed characters.

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