Feature Extraction Using Zernike Moments for Symbols

Abstract

Shape identification a n d feature e x t r a c t i o n 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.