Review of offline handwritten text recognition in south Indian languages
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Abstract
Offline Handwritten character recognition is a popular and challenging area of research under pattern recognition
and image processing. In this article, offline handwriting recognition methods performed in south Indian
languages including Telugu, Tamil, Kannada and Malayalam are presented. A description about south Indian
languages and an overview of general handwriting recognition systems are also presented briefly. Convolutional
Neural Networks (CNNs) and classifier combination methods have provided better performance among proposals
provided by the researchers.
Keywords:
CNN, deep learning, Offline Handwriting Recognition, South Indian ScriptMathematics Subject Classification:
Mathematics- Pages: 751-756
- Date Published: 01-01-2021
- Vol. 9 No. 01 (2021): Malaya Journal of Matematik (MJM)
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