Multi-task learning for pre-processing of printed Devanagari document images with hyper-parameter optimization of the deep architecture using Taguchi method-Reference-Cited by-同舟云学术

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Multi-task learning for pre-processing of printed Devanagari document images with hyper-parameter optimization of the deep architecture using Taguchi method

Published:2021-07-26 Issue:3 Volume:46 Page:
ISSN:0256-2499
Container-title:Sādhanā
language:en
Short-container-title:Sādhanā

Author:

Akhter Shaheera Saba Mohd Naseem^ORCID,Rege Priti P

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

https://link.springer.com/content/pdf/10.1007/s12046-021-01664-7.pdf

Reference56 articles.

1. Datta A K 1984 A generalized formal approach for description and analysis of major Indian scripts. IETE J. Res. 30(6): 155–161

2. Jayadevan R, Kolhe S R, Patil P M and Pal U 2011 Offline recognition of Devanagari script: a survey. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 41(6): 782–796

3. Pal U and Chaudhuri B B 2004 Indian script character recognition: a survey. Pattern Recognition 37(9): 1887–1899

4. Shafait F 2009 Document image analysis with OCRopus. In: Proceedings of the 2009 IEEE 13th International Multitopic Conference, IEEE, pp. 1–6

5. Taguchi G and Yokoyama Y 1993 Taguchi methods: design of experiments. Taguchi Methods Series 4

Cited by 1 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. Hyper Parameter Optimization of CRNN for Printed Devanagari Script Recognition using Taguchi's Method;ACM Transactions on Asian and Low-Resource Language Information Processing;2023-03-25

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