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An Insight into Handwritten Text Recognition Techniques

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Proceedings of International Conference on Communication and Computational Technologies

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

Abstract

Digitization and storing of information from scanned documents and text pictures is a vital task today. The capability of computers to obtain and interpret intelligible handwritten text input from sources such as images, touchscreens, papers, and other devices is known as Handwritten Text Recognition (HTR). HTR has been a boon to every existing field that requires digitization as the conversion of any handwritten document namely government documents, answer sheets, handwritten notebooks, etc could be easily misplaced or mishandled and digital preservation can avoid any mishaps to the document. Compared to typed text, the high variation in handwriting types across individuals and low consistency of the handwritten text face major challenges in translating it to computer-readable text. To make data easy to store and easy to analyze, many text recognition systems have been suggested, developed, and tested by researchers. This paper provides a systematic literature review of the previous techniques used in image recognition systems. All the recent research of various text recognition techniques is presented in this paper.

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Authors and Affiliations

  1. Department of Computer Engineering,, SVKM’s NMIMS (Deemed-to-be-University) Mukesh Patel School of Technology Management & Engineering, Shirpur, India

    Shreya Tiwari, Priyanshi Burad & Netra Radhakrishnan

  2. Department of Computer Engineering,, SVKM’s NMIMS (Deemed-to-be-University) Mukesh Patel School of Technology Management & Engineering, Shirpur, India

    Dhananjay Joshi

Authors
  1. Shreya Tiwari
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  2. Priyanshi Burad
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  3. Netra Radhakrishnan
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  4. Dhananjay Joshi
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Editor information

Editors and Affiliations

  1. CHRIST (Deemed to be University), Bangalore, Karnataka, India

    Sandeep Kumar

  2. Rajasthan Technical University, Kota, India

    Sunil Dutt Purohit

  3. Rajasthan Institute of Engineering and Technology, Jaipur, Rajasthan, India

    Saroj Hiranwal

  4. University of Technology Sydney, Ultimo, NSW, Australia

    Mukesh Prasad

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© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Tiwari, S., Burad, P., Radhakrishnan, N., Joshi, D. (2021). An Insight into Handwritten Text Recognition Techniques. In: Kumar, S., Purohit, S.D., Hiranwal, S., Prasad, M. (eds) Proceedings of International Conference on Communication and Computational Technologies. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-3246-4_59

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