Document Image Text Extraction Using Emperor Penguin Optimization with Convolutional Neural Network-Reference-Cited by-同舟云学术

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Document Image Text Extraction Using Emperor Penguin Optimization with Convolutional Neural Network

Published:2023-12-04 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC)
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Author:

Ramadan Ghazi Mohamad¹,Kumar Bura Vijay²,Pareek Piyush Kumar³,Adnan Myasar Mundher⁴,Jabar Muhammed Basim⁵

Affiliation:

1. College of MLT, Ahl Al Bayt University,Karbala,Iraq

2. School of Computer Science and Artificial Intelligence, SR University,Warangal,Telangana,India

3. Nitte Meenakshi Institute of Technology,Department of AI and ML,Bengaluru,India

4. The Islamic university,Najaf,Iraq

5. National University of Science and Technology,Dhi Qar,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10435701/10435648/10435924.pdf?arnumber=10435924

Reference15 articles.

1. Comparative Analysis of Handwritten Text Recognition using CNN and SVM

2. Optimized leaky ReLU for handwritten Arabic character recognition using convolution neural networks

3. An improved method for text detection using Adam optimization algorithm

4. A novel normal to tangent line (NTL) algorithm for scale invariant feature extraction for Urdu OCR

5. Leveraging Transfer Learning and GAN Models for OCR from Engineering Documents

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