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Reseach Article

3-Level Techniques Comparison based Image Recognition

by Zainab Ibrahim Abood, Ahlam Hanoon Al-sudani
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 11
Year of Publication: 2014
Authors: Zainab Ibrahim Abood, Ahlam Hanoon Al-sudani
10.5120/17052-7241

Zainab Ibrahim Abood, Ahlam Hanoon Al-sudani . 3-Level Techniques Comparison based Image Recognition. International Journal of Computer Applications. 97, 11 ( July 2014), 19-25. DOI=10.5120/17052-7241

@article{ 10.5120/17052-7241,
author = { Zainab Ibrahim Abood, Ahlam Hanoon Al-sudani },
title = { 3-Level Techniques Comparison based Image Recognition },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 11 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 19-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume97/number11/17052-7241/ },
doi = { 10.5120/17052-7241 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:23:51.419513+05:30
%A Zainab Ibrahim Abood
%A Ahlam Hanoon Al-sudani
%T 3-Level Techniques Comparison based Image Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 11
%P 19-25
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image recognition is one of the most important applications of information processing, in this paper; a comparison between 3-level techniques based image recognition has been achieved, using discrete wavelet (DWT) and stationary wavelet transforms (SWT), stationary-stationary-stationary (sss), stationary-stationary-wavelet (ssw), stationary-wavelet-stationary (sws), stationary wavelet-wavelet (sww), wavelet-stationary-stationary (wss), wavelet-stationary-wavelet (wsw), wavelet-wavelet-stationary (wws) and wavelet-wavelet-wavelet (www). A comparison between these techniques has been implemented. according to the peak signal to noise ratio (PSNR), root mean square error (RMSE), compression ratio (CR) and the coding noise e (n) of each third level. The two techniques that have the best results which are (sww and www) are chosen, then image recognition is applied to these two techniques using Euclidean distance and Manhattan distance and a comparison between them has been implemented. , it is concluded that, sww technique is better than www technique in image recognition because it has a higher match performance (100%) for Euclidean distance and Manhattan distance than that in www. .

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Index Terms

Computer Science
Information Sciences

Keywords

3-level Techniques image recognition stationary wavelet transform wavelet transform feature extraction.