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Optical Character Recognition and Text Line Recognition of Handwritten Documents: A Survey

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Proceedings of World Conference on Artificial Intelligence: Advances and Applications (WWCA 1997)

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

Optical Character Recognition (OCR) is a research area that deals with digitizing and converting any handwritten text or document into digitized form. The main need for such a conversion is to efficiently store, access, preserve, and also transfer the wealth of knowledge in these documents for the future. The last few decades have witnessed the escalation and interest of the research community toward developing new ideas and methodologies for OCR in the context of text line extraction and recognition. Identifying the individual lines in a handwritten document is one of the most crucial stages in recognizing language, words, and characters. The nature and style of handwriting make the task of recognizing the individual text lines from a handwritten document a challenging one. A critical analysis of the various text line recognition systems in offline handwritten documents is presented in this work. This overview will help researchers understand OCR and the various text line recognition strategies carried out in research over the years.

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Authors and Affiliations

  1. National Institute of Technology Silchar, Assam, India

    Prarthana Dutta & Naresh Babu Muppalaneni

Authors
  1. Prarthana Dutta
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  2. Naresh Babu Muppalaneni
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Corresponding author

Correspondence to Prarthana Dutta .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, Malaviya National Institute of Technology Jaipur, Jaipur, Rajasthan, India

    Ashish Kumar Tripathi

  2. Department of Computer Science and Engineering, Sir Padampat Singhania University, Udaipur, India

    Darpan Anand

  3. School of Mathematics, Computer Science and Engineering, Liverpool Hope University, Liverpool, UK

    Atulya K. Nagar

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Dutta, P., Muppalaneni, N.B. (2023). Optical Character Recognition and Text Line Recognition of Handwritten Documents: A Survey. In: Tripathi, A.K., Anand, D., Nagar, A.K. (eds) Proceedings of World Conference on Artificial Intelligence: Advances and Applications. WWCA 1997. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-5881-8_41

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