Analysis of Methods for Classification and Aggregation of Textual Data From Images

Authors

DOI:

https://doi.org/10.31861/sisiot2024.1.01008

Keywords:

text recognition, machine learning, data processing automation, multilingual texts, comparative analysis

Abstract

This study investigates modern methods of text recognition from images, specifically comparing optical character recognition and intelligent character recognition. The technologies of machine learning, including convolutional and recurrent neural networks, are compared based on criteria such as accuracy and efficiency in processing handwritten and printed texts. The advantages and limitations of existing solutions for forming digital documents from images containing various handwriting styles and low-quality text images are analyzed. Key challenges associated with processing multilingual texts are identified, and future prospects for the development of text recognition technologies are discussed.

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Author Biographies

  • Bohdan Popovych, National Technical University "Kharkiv Polytechnic Institute"

    Bohdan, 23 years old, studied and obtained his bachelor's and master's degrees at NTU "KhPI." In 2023, he researched the use of AI in web applications while working on his master's thesis. In 2024, he joined the team at ReMnemo, a high-potential startup that successfully completed an acceleration program. At ReMnemo, he is engaged in the application of AI in various projects.

  • Ganna Zavolodko, National Technical University "Kharkiv Polytechnic Institute"

    Ganna, 46 years old, Ph.D., Associate Professor at NTU "KhPI," IEEE Senior Member; CEO and co-founder of ReMnemo.

References

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S. L. Wasankar, H. Mahajan, D. Deshmukh, and H. Munot, “Self Intelligence with Text Recognization,” Government College of Engineering, Amravati, India, 2024.

Techopedia, “How Intelligent Character Recognition (ICR) is Overcoming OCR Limitations in Document Processing.” [Online]. Available: https://www.techopedia.com/how-intelligent-character-recognition-icr-is-overcoming-ocr-limitations-in-document-processing. [Accessed: Jul. 29, 2024].

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Published

2024-08-30

Issue

Vol. 2 No. 1 (2024)

Section

Articles

License

Copyright (c) 2024 Security of Infocommunication Systems and Internet of Things

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
B. Popovych and G. Zavolodko, “Analysis of Methods for Classification and Aggregation of Textual Data From Images”, SISIOT, vol. 2, no. 1, p. 01008, Aug. 2024, doi: 10.31861/sisiot2024.1.01008.

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