Research Article
Implementation of Barcode Localization Technique using Morphological Operations
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 97 - Issue 13 |
| Published: July 2014 |
| Authors: Savreet Kaur, Raman Maini |
10.5120/17068-7488
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Savreet Kaur, Raman Maini . Implementation of Barcode Localization Technique using Morphological Operations. International Journal of Computer Applications. 97, 13 (July 2014), 42-47. DOI=10.5120/17068-7488
@article{ 10.5120/17068-7488,
author = { Savreet Kaur,Raman Maini },
title = { Implementation of Barcode Localization Technique using Morphological Operations },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 97 },
number = { 13 },
pages = { 42-47 },
doi = { 10.5120/17068-7488 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Savreet Kaur
%A Raman Maini
%T Implementation of Barcode Localization Technique using Morphological Operations%T
%J International Journal of Computer Applications
%V 97
%N 13
%P 42-47
%R 10.5120/17068-7488
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Barcode Localization is an extremely important task in Barcode Reading system which depends highly on imaging conditions and methods used for barcode localization. In this paper, we have presented a method for barcode localization which is based on basic morphological operations. The method introduced is implemented in MATLAB 2012 and is then examined for different types of test images such as images with skewed, blurry or multiple barcodes in an image. The method is then compared with some existing methods of literature on the basis of these test images. It has been found that the performance of the algorithm depends upon the proper choice of the switching element.
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