Shape descriptors-based generalised scheme for handwritten character recognition

Tusar Kanti Mishra*, Banshidhar Majhi, Ratnakar Dash

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

In this paper, we propose a novel scheme for recognition of handwritten numerals for a regional language Odia of the Indian continent. Additional attempts have also been made to implement this scheme for recognition of handwritten numerals of two other languages namely, Bangla and English. Thus, the proposed scheme has been generalised to three different languages. Three variants of time series description of global shapes of numerals have been wrapped up in a vector. This vector is treated as the primary features for the suggested scheme. Satisfactory overall accuracy rate of 96.25% is achieved for Odia numerals. Promising results are also obtained for recognising English and Bangla numerals.

Original languageEnglish
Pages (from-to)168-179
Number of pages12
JournalInternational Journal of Computational Vision and Robotics
Volume6
Issue number1-2
DOIs
Publication statusPublished - 18-12-2016

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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