Handwritten Indic Digit Recognition Using Deep Hybrid Capsule Network

Author:

Reduanul Haque MohammadORCID,Hafiz RubaiyaORCID,Zahidul Islam Mohammad,Khatun Amina,Akter Morium,Shorif Uddin MohammadORCID

Publisher

Springer Singapore

Reference24 articles.

1. Sawe BE Handwriting database (2018). https://www.worldatlas.com/articles/the-most-widely-spoken-languages-in-india.html. Accessed 3 July 2019

2. Indian Languages—Defining India’s Internet—KPMG International Cooperative [NL] (2017). https://assets.kpmg/content/dam/kpmg/in/pdf/2017/04/Indian-languages-Defining-Indias-Internet.pdf. Accessed 4 July 2019

3. Kunchukuttan A, Puduppully R, Bhattacharyya P (2015) Brahmi-net: a transliteration and script conversion system for languages of the Indian subcontinent. In: Proceedings of the 2015 conference of the North American chapter of the association for computational linguistics: demonstrations, pp 81–85

4. Kunchukuttan A, Bhattacharyya P (2020) Utilizing language relatedness to improve machine translation: a case study on languages of the Indian subcontinent. arXiv:2003.08925

5. Meedeniya D, Perera A (2009) Evaluation of partition-based text clustering techniques to categorize Indic language documents. In: 2009 IEEE international advance computing conference, pp 1497–1500. IEEE

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