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On-Line Devanagari Handwritten Character Recognition Using Moments Features

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Recent Trends in Image Processing and Pattern Recognition (RTIP2R 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1037))

Abstract

Now a days recognizing the handwritten character is receiving high significance because of numerous applications like Educational Software, On-line Signature Verification, Bank Cheque Processing, postal code recognition, Electronic library etc. Very less work is accounted in the research of Devanagari handwritten character recognition (HWDCR), so that there is a large scope of research in this area. In this paper we proposed a HWDCR system that recognizes Devanagari handwritten characters, the most popular script in India. Using pen tablet handwritten character is inputted and its on-line features are extracted like sequence of (x, y) coordinates, stroke and pressure information which are passed to classifier for classification. We have used MLP-BP Neural Network Classifier for classification. The average recognition accuracy is achieved by the proposed HWDCR system is 90% using on-line data.

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Author information

Authors and Affiliations

  1. Sathyabama Institute of Science and Technology, Chennai, India

    Shalaka Prasad Deore

  2. Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, India

    Albert Pravin

  3. Department of Computer Engineering, M.E.S. College of Engineering, S. P. Pune University, Pune, Maharashtra, India

    Shalaka Prasad Deore

Authors
  1. Shalaka Prasad Deore
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  2. Albert Pravin
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Corresponding author

Correspondence to Shalaka Prasad Deore .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of South Dakota, Vermillion, SD, USA

    K. C. Santosh

  2. Solapur University, Solapur, India

    Ravindra S. Hegadi

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Deore, S.P., Pravin, A. (2019). On-Line Devanagari Handwritten Character Recognition Using Moments Features. In: Santosh, K., Hegadi, R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1037. Springer, Singapore. https://doi.org/10.1007/978-981-13-9187-3_4

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  • DOI: https://doi.org/10.1007/978-981-13-9187-3_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9186-6

  • Online ISBN: 978-981-13-9187-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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