Review of offline handwritten text recognition in south Indian languages

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Authors :

A. T. Anju 1* , Binu P. Chacko 2 and K. P. Mohammad Basheer 3

Author Address :

1,3 Department of Computer Science, Sullamussalam Science College, Kerala-673639, India.
2 Department of Computer Science, Prajyoti Niketan College, Kerala-680301, India.

*Corresponding author.

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 Script.

DOI :

10.26637/MJM0901/0132

Article Info :

Received : December 19, 2020; Accepted : March 02, 2021.