Hierarchical OCR for printed Tamil text

Aarif Noordeen; Kawshik Kannan; Harish Ravi; Bhaskar Venkatraman; R. S. Milton

doi:10.1117/12.2522954

15 March 2019 Hierarchical OCR for printed Tamil text

Aarif Noordeen, Kawshik Kannan, Harish Ravi, Bhaskar Venkatraman, R. S. Milton

Proceedings Volume 11041, Eleventh International Conference on Machine Vision (ICMV 2018); 110411G (2019) https://doi.org/10.1117/12.2522954
Event: Eleventh International Conference on Machine Vision (ICMV 2018), 2018, Munich, Germany

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.

Citation Download Citation

Aarif Noordeen, Kawshik Kannan, Harish Ravi, Bhaskar Venkatraman, and R. S. Milton "Hierarchical OCR for printed Tamil text", Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 110411G (15 March 2019); https://doi.org/10.1117/12.2522954

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