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A Study on Multiple Barcode Detection from an Image in Business System

by Atiqul Islam Chowdhury, Mushfika Sharmin Rahman, Nazmus Sakib
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 37
Year of Publication: 2019
Authors: Atiqul Islam Chowdhury, Mushfika Sharmin Rahman, Nazmus Sakib
10.5120/ijca2019918340

Atiqul Islam Chowdhury, Mushfika Sharmin Rahman, Nazmus Sakib . A Study on Multiple Barcode Detection from an Image in Business System. International Journal of Computer Applications. 181, 37 ( Jan 2019), 30-37. DOI=10.5120/ijca2019918340

@article{ 10.5120/ijca2019918340,
author = { Atiqul Islam Chowdhury, Mushfika Sharmin Rahman, Nazmus Sakib },
title = { A Study on Multiple Barcode Detection from an Image in Business System },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2019 },
volume = { 181 },
number = { 37 },
month = { Jan },
year = { 2019 },
issn = { 0975-8887 },
pages = { 30-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number37/30275-2019918340/ },
doi = { 10.5120/ijca2019918340 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:08:25.589633+05:30
%A Atiqul Islam Chowdhury
%A Mushfika Sharmin Rahman
%A Nazmus Sakib
%T A Study on Multiple Barcode Detection from an Image in Business System
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 37
%P 30-37
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The pillar of automatic identification is Barcode technology which is used comprehensively in real time applications with various types of codes. The different types of codes and applications sometimes faces special problems, so the improvement of the effectiveness must be done persistently. This paper’s proposal mainly deals with multiple product’s barcode to be detected simultaneously. The proposed algorithm which will have implementation for supershop billing system and inventory management. The method will recognize the barcodes using image processing. Images will be taken using mobile camera sensor. It will detect 1D barcodes such as EAN-13 barcodes, Code-128 barcodes, 2D barcodes such as QR codes. Moreover, it will be angle invariant, requires less user interaction than usual and can be executed on available computers. This model helps consumers to minimize the time for the billing system in shopping. We have implemented this in Python IDE using OpenCV library.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Image processing barcode EAN-13 QR code ZBar.

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