End-to-end handwritten Ge’ez multiple numerals recognition using deep learning-Reference-Cited by-同舟云学术

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End-to-end handwritten Ge’ez multiple numerals recognition using deep learning

Published:2024-04-23 Issue:1 Volume:17 Page:122-134
ISSN:1882-4889
Container-title:SICE Journal of Control, Measurement, and System Integration
language:en
Short-container-title:SICE Journal of Control, Measurement, and System Integration

Author:

Malhotra Ruchika¹^ORCID,Addis Maru Tesfaye²³^ORCID

Affiliation:

1. Department of Software Engineering, Delhi Technological University, New Delhi, India

2. Department of Computer Science, Debre Tabor University, Debre Tabor, Ethiopia

3. Department of Computer Science and Engineering, Delhi Technological University, New Delhi, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/18824889.2024.2336682

Reference35 articles.

1. The ethiopic script: linguistic features and socio-cultural connotations;Meyer R.;Multiling Ethiopia: Ling Challen Capacity Build Efforts,2016

2. Unconstrained bilingual scene text reading using octave as a feature extractor;Tadesse DA;Appl Sci,2020

3. Handwritten Geez digit recognition using deep learning [open access];Nur MA;Appl Comput Intell Soft Comput,2022

4. Gradient-based learning applied to document recognition

5. Multilingual handwritten numeral recognition using a robust deep network joint with transfer learning

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