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A Survey on Devanagari Character Recognition

  • Ankit K. SharmaEmail author
  • Dipak M. Adhyaru
  • Tanish H. Zaveri
Conference paper
  • 218 Downloads
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 141)

Abstract

Development of optical character recognition (OCR) algorithm for printed and handwritten characters is a challenging area for research. Plentiful research on OCR techniques for scripts such as Roman, Japanese, Korean, and Chinese has already been carried out. OCR research activities related to Indian script is limited. Devanagari script is used by about 500 million people in India. Remarkable research has been done in the last few years for Devanagari script. In this paper, a survey of the various research efforts done by various groups of researchers for the development of printed as well as handwritten Devanagari character recognition system is presented. Comparison of various methods in terms of feature extraction techniques, classifiers, datasets, and accuracy values is also described.

Keywords

Handwritten and printed character recognition Indian scripts Devanagari OCR survey 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Ankit K. Sharma
    • 1
    Email author
  • Dipak M. Adhyaru
    • 1
  • Tanish H. Zaveri
    • 2
  1. 1.Instrumentation and Control Engineering DepartmentInstitute of Technology, Nirma UniversityAhmedabadIndia
  2. 2.Electronics and Communication Engineering DepartmentInstitute of Technology, Nirma UniversityAhmedabadIndia

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