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Challenges in Recognition of Online and Off-line Compound Handwritten Characters: A Review

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Smart Trends in Computing and Communications

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 165))

Abstract

The recognition of character is the process which enables a computer to recognize handwritten and printed characters such as numbers, letters in a document as image and convert into digital, and machine-readable form that the computer can use. The huge collections of ancient script of written and printed documents are required to be preserved in an electronic file. The main purpose of this study is to recognize descendant scripts of Devanagari such as Pali, Marathi, and Hindi to recover the ancient damaged scripts and valuable documents for further research in related literature. In this article, we analyze different handwritten characters recognition done on non-Indic as well as Indic scripts; the evaluation of handwritten character recognition (HCR) tools and techniques are also presented.

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Author information

Authors and Affiliations

  1. Sant Gadge Baba Amravati University, Amravati, India

    Ratnashil N. Khobragade, Nitin A. Koli & Vrushali T. Lanjewar

Authors
  1. Ratnashil N. Khobragade
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  2. Nitin A. Koli
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  3. Vrushali T. Lanjewar
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Corresponding author

Correspondence to Ratnashil N. Khobragade .

Editor information

Editors and Affiliations

  1. Department of Informatics, University of Leicester, Leicester, UK

    Yu-Dong Zhang

  2. Department of Computer Science and Engineering, University of Kalyani, Kalyani, India

    Jyotsna Kumar Mandal

  3. Department of Computer Science, Khon Kaen University, Khon Kaen, Thailand

    Chakchai So-In

  4. Nagpur Institute of Technology, Nagpur, Maharashtra, India

    Nileshsingh V. Thakur

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Khobragade, R.N., Koli, N.A., Lanjewar, V.T. (2020). Challenges in Recognition of Online and Off-line Compound Handwritten Characters: A Review. In: Zhang, YD., Mandal, J., So-In, C., Thakur, N. (eds) Smart Trends in Computing and Communications. Smart Innovation, Systems and Technologies, vol 165. Springer, Singapore. https://doi.org/10.1007/978-981-15-0077-0_38

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