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Pattern Recognition using Multilevel Wavelet Transform

by Vinayak D. Shinde, Vijay M. Mane
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 49 - Number 2
Year of Publication: 2012
Authors: Vinayak D. Shinde, Vijay M. Mane
10.5120/7598-0300

Vinayak D. Shinde, Vijay M. Mane . Pattern Recognition using Multilevel Wavelet Transform. International Journal of Computer Applications. 49, 2 ( July 2012), 11-14. DOI=10.5120/7598-0300

@article{ 10.5120/7598-0300,
author = { Vinayak D. Shinde, Vijay M. Mane },
title = { Pattern Recognition using Multilevel Wavelet Transform },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 49 },
number = { 2 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 11-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume49/number2/7598-0300/ },
doi = { 10.5120/7598-0300 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:45:15.713653+05:30
%A Vinayak D. Shinde
%A Vijay M. Mane
%T Pattern Recognition using Multilevel Wavelet Transform
%J International Journal of Computer Applications
%@ 0975-8887
%V 49
%N 2
%P 11-14
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An approach for feature extraction using wavelet transforms using its property of multilevel decomposition in pattern recognition application is proposed. The multilevel decomposition property of discrete wavelet transform provides texture information of an image at different resolutions. Iris recognition system using multilevel wavelet transform is explained. The technique developed here is implemented using three and four level decomposition of Discrete Wavelet Transform. Four level decomposition gives better results at increased threshold value. Reduced feature vector size improves the speed.

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Index Terms

Computer Science
Information Sciences

Keywords

Biometrics DWT Euclidean distance Feature vector FAR FRR RAR Normalisation Segmentation

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