Handwriting Recognition System Using Optical Character Recognition

Priti Gangania¹ , Sowmya Mishra² , Shreshtha Garg³ , Sonam Agarwal⁴

Section:Research Paper, Product Type: Isroset-Journal
Vol.6 , Issue.3 , pp.18-21, Jun-2018

CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i3.1821

Online published on Jun 30, 2018

Copyright © Priti Gangania, Sowmya Mishra, Shreshtha Garg, Sonam Agarwal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
This is an overview of the most recent published approaches to solving the handwriting recognition problem. This paper is aimed at clarifying the role of handwriting recognition in accordance with today`s maturing technologies. It tries to list and clarify the components that build handwriting recognition and related technologies such as OCR (Optical Character Recognition) and Signature Verification. This paper could also be regarded as a survey of handwriting recognition and related topics with a rich list of references for the interested reader. A level of practicality of use of this technology for different languages and cultures is also discussed.

Key-Words / Index Term :
OCR, Language Model

References :
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