A Lightweight Visual Font Style Recognition With Quantized Convolutional Autoencoder-Reference-Cited by-同舟云学术

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A Lightweight Visual Font Style Recognition With Quantized Convolutional Autoencoder

Published:2024 Issue: Volume:5 Page:120-130
ISSN:2644-1268
Container-title:IEEE Open Journal of the Computer Society
language:
Short-container-title:IEEE Open J. Comput. Soc.

Author:

Tonmoy Moshiur Rahman¹^ORCID,Rakib Abdul Fattah²^ORCID,Rahman Rashik²^ORCID,Adnan Md. Akhtaruzzaman²^ORCID,Mridha M. F.³^ORCID,Huang Jie⁴,Shin Jungpil⁴^ORCID

Affiliation:

1. Advanced Machine Intelligence Research Lab, Dhaka, Bangladesh

2. Department of Computer Science and Engineering, University of Asia Pacific, Dhaka, Bangladesh

3. Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh

4. School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8782664/10375894/10475431.pdf?arnumber=10475431

Reference31 articles.

1. DeepFont

2. Large-Scale Visual Font Recognition

3. Bengali language,2023

4. Bangla Font Recognition using Transfer Learning Method

5. SwordNet: Chinese Character Font Style Recognition Network

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