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Proceedings Paper

Hierarchical OCR for printed Tamil text
Author(s): Aarif Noordeen; Kawshik Kannan; Harish Ravi; Bhaskar Venkatraman; R. S. Milton
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Paper Abstract

Optical Character Recognition (OCR) of Tamil characters is harder, due to the variety, compared to that of Latin characters. We propose a new technique to perform optical character recognition of printed Tamil characters using a hierarchical Convolutional Neural Network (CNN) which recognises the similarities between characters, while identifying the differences between the fine-grained characters. The performance of the developed system is comparable to the stateof-the-art techniques for OCR.

Paper Details

Date Published: 15 March 2019
PDF: 8 pages
Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 110411G (15 March 2019); doi: 10.1117/12.2522954
Show Author Affiliations
Aarif Noordeen, SSN College of Engineering (India)
Kawshik Kannan, SSN College of Engineering (India)
Harish Ravi, SSN College of Engineering (India)
Bhaskar Venkatraman, SSN College of Engineering (India)
R. S. Milton, SSN College of Engineering (India)


Published in SPIE Proceedings Vol. 11041:
Eleventh International Conference on Machine Vision (ICMV 2018)
Antanas Verikas; Dmitry P. Nikolaev; Petia Radeva; Jianhong Zhou, Editor(s)

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