Robust Arabic and Pashto Text Detection in Camera-Captured Documents Using Deep Learning Techniques-Reference-Cited by-同舟云学术

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Robust Arabic and Pashto Text Detection in Camera-Captured Documents Using Deep Learning Techniques

Published:2023 Issue: Volume:11 Page:135788-135796
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Khan Nisar¹,Ahmad Riaz¹,Ullah Khalil²^ORCID,Muhammad Siraj¹^ORCID,Hussain Ibrar¹^ORCID,Khan Ahmad³^ORCID,Ghadi Yazeed Yasin⁴^ORCID,Mohamed Heba G.⁵^ORCID

Affiliation:

1. Department of Computer Science, Shaheed Benazir Bhutto University (SBBU), Upper Dir, Sheringal, Pakistan

2. Department of Software Engineering, University of Malakand (UOM), Chakdara, Pakistan

3. Department of Software Engineering, Mirpur University of Science and Technology, Mirpur, Pakistan

4. Department of Computer Science, Al Ain University, Al Ain, United Arab Emirates

5. Department of Electrical Engineering, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Funder

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia, through Princess Nourah bint Abdulrahman University Researchers Supporting Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10328604.pdf?arnumber=10328604

Reference33 articles.

1. Preprocessing challenges in document image analysis;Kalaskar

2. A Survey on Document Image Analysis and Retrieval System

3. A fast multifunctional approach for document image analysis

4. A fast algorithm for bottom-up document layout analysis

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