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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
ISSN Online 2393-8021ISSN Print 2394-1588Since 2014
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← Back to VOLUME 3, ISSUE 10, OCTOBER 2016

REVIEW OF FEATURE EXTRACTION AND CLASSIFICATION TECHNIQUES FOR OHCR IN INDIAN SCRIPTS

Sabeernath.K, Baiju K B

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Abstract: The development of OHCR (Online Handwritten Character Recognition) is an interesting area in the field of Pattern Recognition. Sustainability of traditional script input methods needs attention in the preservation of neutrality of languages. In the context of Indian scripts, automatic recognition of handwritings contributes a lot in preserving its vital aspects. The South Indian family of languages (Malayalam, Tamil, Kannada, and Telugu) share characteristics of ancient Brahmi script from which they are derived. Research work for accurate OHCR engines for various Indian scripts is still in progress. The paper is intended for familiarizing the works in Online Handwriting Recognition of various Indian scripts. Various features and classification techniques used with recognition accuracies were compared from existing literature. This will be beneficial for the quality selection of features and classification techniques in future works.

Keywords: OHCR, Feature Extraction ,Indian scripts, Handwriting Recognition

How to Cite:

[1] Sabeernath.K, Baiju K B, “REVIEW OF FEATURE EXTRACTION AND CLASSIFICATION TECHNIQUES FOR OHCR IN INDIAN SCRIPTS,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2016.31025

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