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Online handwritten character recognition for Malayalam

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CCSEIT '12: Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology

Pages 661 - 664

https://doi.org/10.1145/2393216.2393326

Published: 26 October 2012 Publication History

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Abstract

Handwritten character recognition is conversion of handwritten text to machine readable and editable form. Online character recognition deals with live conversion of characters. Malayalam is a language spoken by millions of people in the state of Kerala and the union territories of Lakshadweep and Pondicherry. It is written mostly in clockwise direction and consists of loops and curves. It is possible that the characters may get disrupted during writing due to several reasons such as fast writings, low pen pressure, etc. Hence, it becomes important to include linking of broken characters as an important task in process of character recognition. This paper proposes an online method for identification of Malayalam handwritten characters and also deals with linking disrupted characters, if any.

References

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B KSingh HMalarvel M(2022)Pre-processing techniques for Tamil online handwritten character recognition2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)10.1109/ICATIECE56365.2022.10047443(1-8)Online publication date: 16-Dec-2022
https://doi.org/10.1109/ICATIECE56365.2022.10047443
Husain NDiah NHanum H(2017)The relevance of Freeman Chain Code for copying activities2017 IEEE Conference on e-Learning, e-Management and e-Services (IC3e)10.1109/IC3e.2017.8409252(138-144)Online publication date: Nov-2017
https://doi.org/10.1109/IC3e.2017.8409252
Baiju KSabeerath K(2016)Online recognition of Malayalam handwritten scripts — A comparison using KNN, MLP and SVM2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)10.1109/ICACCI.2016.7732357(2078-2083)Online publication date: Sep-2016
https://doi.org/10.1109/ICACCI.2016.7732357

Index Terms

Online handwritten character recognition for Malayalam
1. Computing methodologies
2. Theory of computation
  1. Models of computation

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CCSEIT '12: Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology

October 2012

800 pages

ISBN:9781450313100

DOI:10.1145/2393216

General Chairs:
Natarajan Meghanathan
Jackson State University
,
Michal Wozniak
Wroclaw University of Technology, Poland

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 26 October 2012

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Avinashilingam University

CCSEIT '12: The Second International Conference on Computational Science, Engineering

October 26 - 28, 2012

Coimbatore UNK, India

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B KSingh HMalarvel M(2022)Pre-processing techniques for Tamil online handwritten character recognition2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)10.1109/ICATIECE56365.2022.10047443(1-8)Online publication date: 16-Dec-2022
https://doi.org/10.1109/ICATIECE56365.2022.10047443
Husain NDiah NHanum H(2017)The relevance of Freeman Chain Code for copying activities2017 IEEE Conference on e-Learning, e-Management and e-Services (IC3e)10.1109/IC3e.2017.8409252(138-144)Online publication date: Nov-2017
https://doi.org/10.1109/IC3e.2017.8409252
Baiju KSabeerath K(2016)Online recognition of Malayalam handwritten scripts — A comparison using KNN, MLP and SVM2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)10.1109/ICACCI.2016.7732357(2078-2083)Online publication date: Sep-2016
https://doi.org/10.1109/ICACCI.2016.7732357

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Handwritten Cursive Jawi Character Recognition: A Survey

Isolated Handwritten Malayalam Character Recognition Using HLH Intensity Patterns

Odia character recognition: a directional review

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