Feature Extraction Using Zernike Moments for Symbols

Authors

  • Jignesh Jethva Department of Electronics & communication, Sigma Institute of Engineering
  • Akshaya Patel Department of Electronics & communication, Sigma Institute of Engineering
  • Avinash Trivedil Department of Electronics & communication, Sigma Institute of Engineering

Keywords:

Cursive script, Hu's moment, Gujarti , Zernike moment.

Abstract

Shape identification a n d feature e x t r a c t i on are the main concern of any pattern recognition
system. Object parameters are mostly dependent on spatio-temporal relationships among the pixels. However
feature extraction is a complex phenomenon which needs to be addressed from the invariance property,
irrespective of position and orientation. Zernike moments are used as shape descriptors and identified as
rotation invariant due to Orthogonality property. However the computational complexity is high. Script as a
basis for evaluation of patterns and cursive nature of script language SYMBOL. The present work is aimed at
evaluation of Zernike moments for various patterns of objects that are cursive in nature. Therefore feature
extraction of patterns like vowels and consonants in cursive script SYMBOL using Zernike moments is
considered in comparison with Hu's seven moments.

Published

2022-08-23

How to Cite

Feature Extraction Using Zernike Moments for Symbols. (2022). International Journal of Advance Engineering and Research Development (IJAERD), 4(13), -. https://ijaerd.org/index.php/IJAERD/article/view/6015

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