A Benchmark System for Indian Language Text Recognition-Reference-Cited by-同舟云学术

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A Benchmark System for Indian Language Text Recognition

Published:2020 Issue: Volume: Page:74-88
ISSN:0302-9743
Container-title:Document Analysis Systems
language:
Short-container-title:

Author:

Tulsyan Krishna,Srivastava Nimisha,Mondal Ajoy,Jawahar C. V.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-57058-3_6

Reference42 articles.

1. Achanta, R., Hastie, T.J.: Telugu OCR framework using deep learning. ArXiv (2015)

2. Ashwin, T.V., Sastry, P.S.: A font and size-independent OCR system for printed Kannada documents using support vector machines. Sadhana 27, 35–38 (2002)

3. Bansal, V., Sinha, R.: A complete OCR for printed Hindi text in Devanagari script. In: ICDAR (2001)

4. Bansal, V., Sinha, R.M.K.: A complete OCR for printed Hindi text in Devanagari script. In: ICDAR (2001)

5. Basu, S., Das, N., Sarkar, R., Kundu, M., Nasipuri, M., Basu, D.K.: Handwritten Bangla alphabet recognition using an MLP based classifier. CoRR (2012)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MOPO-HBT: A movie poster dataset for title extraction and recognition;Multimedia Tools and Applications;2023-12-06

2. A Review of Scene Text Detection and Recognition of South Indian Languages in Natural Scene Images;Proceedings of the International Conference on Cognitive and Intelligent Computing;2022

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