Leveraging Transfer Learning and GAN Models for OCR from Engineering Documents-Reference-Cited by-同舟云学术

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Leveraging Transfer Learning and GAN Models for OCR from Engineering Documents

Published:2022-06-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE World AI IoT Congress (AIIoT)
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Author:

Khallouli Wael¹,Pamie-George Raphael²,Kovacic Samuel¹,Sousa-Poza Andres¹,Canan Mustafa³,Li Jiang²

Affiliation:

1. Old Dominion University,Department of Engineering Management & Systems Engineering,Norfolk,VA,USA

2. Old Dominion University,Department of Electrical & Computer Engineering,Norfolk,VA,USA

3. Naval Postgraduate School,Department of Information Sciences,Monterey,CA,USA

Funder

U.S. Department of Defense

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9817098/9817144/09817319.pdf?arnumber=9817319

Reference24 articles.

1. Character Region Awareness for Text Detection

2. Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)

3. Offline handwriting recognition with multidimensional recurrent neural networks;graves;Advances in neural information processing systems,2008

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1. A Generative Approach for Document Enhancement with Small Unpaired Data;Electronics;2024-09-06

2. A Pix2Pix Architecture for Complete Offline Handwritten Text Normalization;Sensors;2024-06-16

3. A review of deep learning methods for digitisation of complex documents and engineering diagrams;Artificial Intelligence Review;2024-05-09

4. Deep learning-based text detection and recognition on architectural floor plans;Automation in Construction;2024-01

5. Document Image Text Extraction Using Emperor Penguin Optimization with Convolutional Neural Network;2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2023-12-04

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