Transforming Information Extraction: AI and Machine Learning in Optical Character Recognition Systems and Applications Across Industries
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© 2023 by IJCTT Journal
Volume-71 Issue-4
Year of Publication : 2023
Authors : Avinash Malladhi
DOI :  10.14445/22312803/IJCTT-V71I4P110

How to Cite?

Avinash Malladhi, "Transforming Information Extraction: AI and Machine Learning in Optical Character Recognition Systems and Applications Across Industries," International Journal of Computer Trends and Technology, vol. 71, no. 4, pp. 81-90, 2023. Crossref, https://doi.org/10.14445/22312803/IJCTT-V71I4P110

Abstract
Optical Character Recognition (OCR) technology has served as a transformative force in data extraction and digitization, enabling the conversion of printed and handwritten text into machine-readable formats. Integrating artificial intelligence (AI) and machine learning (ML) techniques has further enhanced OCR capabilities, improving accuracy, speed, and adaptability across various industry sectors. This paper explores the evolution of OCR technology, its applications, and its prospects. We discuss key developments and innovations that have shaped the OCR landscape, notable use cases across industries such as finance, healthcare, manufacturing, logistics, legal, and retail, and the challenges that remain to be addressed. Through this comprehensive analysis, we highlight the transformative impact of AI-embedded OCR technology on data management, operational efficiency, and compliance, offering insights into the potential benefits and considerations for implementing these advanced algorithms in different sectors. Furthermore, we discuss the challenges that remain to be addressed to fully realize the potential of AI-embedded OCR and its implications for future research and development.

Keywords
AI, Machine Learning, Optical Character Recognition (OCR), Deep Learning, Neural Networks.

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