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International Conference on Information Technology: Coding and Computing (ITCC '01)
Combined Features of Cubic B-Spline Wavelet Moments and Zernike Moments for Invariant Character Recognition
Las Vegas, NV
April 02-April 04
ISBN: 0-7695-1062-0
ASCII Text
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Chao Kan, M.D. Srinath, "Combined Features of Cubic B-Spline Wavelet Moments and Zernike Moments for Invariant Character Recognition," Information Technology: Coding and Computing, International Conference on, pp. 0511, International Conference on Information Technology: Coding and Computing (ITCC '01), 2001.
 
 
BibTex
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@article{ 10.1109/ITCC.2001.918848,
author = {Chao Kan and M.D. Srinath},
title = {Combined Features of Cubic B-Spline Wavelet Moments and Zernike Moments for Invariant Character Recognition},
journal ={Information Technology: Coding and Computing, International Conference on},
volume = {0},
year = {2001},
isbn = {0-7695-1062-0},
pages = {0511},
doi = {http://doi.ieeecomputersociety.org/10.1109/ITCC.2001.918848},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Information Technology: Coding and Computing, International Conference on
TI - Combined Features of Cubic B-Spline Wavelet Moments and Zernike Moments for Invariant Character Recognition
SN - 0-7695-1062-0
SP
EP
A1 - Chao Kan,
A1 - M.D. Srinath,
PY - 2001
VL - 0
JA - Information Technology: Coding and Computing, International Conference on
ER -
 
Chao Kan, Southern Methodist University
M.D. Srinath, Southern Methodist University
Abstract: In this paper, a new method of combining cubic B-spline Wavelet Moments (WMs) and Zernike Moments (ZMs) into a common feature vector is proposed for invariant pattern classifi-cation. By doing so, the ability of ZMs to capture global features and WMs to differentiate between subtle variations in description can be utilized at the same time. Analysis and simulations verify that the new method achieves better performance with respect to classification accuracy than using ZMs or WMs separately. In addition, this new method should also be applicable to other areas of pattern recognition.
Citation:
Chao Kan, M.D. Srinath, "Combined Features of Cubic B-Spline Wavelet Moments and Zernike Moments for Invariant Character Recognition," itcc, pp.0511, International Conference on Information Technology: Coding and Computing (ITCC '01), 2001
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