Title :
Devanagari handwritten numeral identification based on Zernike moments
Author :
More, V.N. ; Rege, P.P.
Author_Institution :
Electron. & Telecommun. Dept., Coll. of Eng. Pune, Pune
Abstract :
The preprocessing of numerals includes bounding them for translation invariance followed by normalization for scale invariance. We achieve translation and scale invariance using simple geometric moments. Higher order Zernike moments are used as shape descriptors. Due to rotation invariance and orthogonal properties of Zernike moments, they are found to perform better in terms of computational complexity and classification achieved. The algorithm has been tested on different handwritten samples taken from different people. In this paper, an attempt is made to develop off-line recognition system for isolated Devanagari numerals.
Keywords :
computational complexity; geometry; handwritten character recognition; Devanagari handwritten numeral identification; computational complexity; geometric moments; higher order Zernike moments; numeral preprocessing; off-line recognition system; orthogonal properties; rotation invariance; scale invariance; shape descriptors; translation invariance; Character recognition; Computational complexity; Educational institutions; Feature extraction; Fuzzy logic; Handwriting recognition; Neural networks; Shape; Testing; Writing; Devanagari script; Geometric moments; Zernike moments; rotation invariance;
Conference_Titel :
TENCON 2008 - 2008 IEEE Region 10 Conference
Conference_Location :
Hyderabad
Print_ISBN :
978-1-4244-2408-5
Electronic_ISBN :
978-1-4244-2409-2
DOI :
10.1109/TENCON.2008.4766863
