On-Line Devanagari Handwritten Character Recognition Using Moments Features

  • Shalaka Prasad DeoreEmail author
  • Albert Pravin
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1037)


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.


Devanagari handwritten character recognition On-line features MLP-BP Neural Network Classifier 


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© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Sathyabama Institute of Science and TechnologyChennaiIndia
  2. 2.Department of Computer Science and EngineeringSathyabama Institute of Science and TechnologyChennaiIndia
  3. 3.Department of Computer EngineeringM.E.S. College of Engineering, S. P. Pune UniversityPuneIndia

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