Barcode Recognition Techniques: Review & Application

Nikash Pradhan

doi:10.21276/ijircst.2021.9.3.6

Abstract

Because of the importance of maintaining track of all products in one location, barcodes have become important elements of sales and product services. Many methods have been developed to make the task of reading barcodes more user-friendly. This project aims to use image processing as a technique for recognizing the barcode using the camera. Using this technique, the machines will be able to read the barcode using the camera and can decode the information on the barcode using the software capable of image processing [1]. The platform will be created for the MATLAB software package and will function with a webcam or digital camera as an interface. On the Graphical User Interface, the device can analyse the image and display the barcode type, data, and image size (GUI) [1]. The machine is designed to identify different types of barcodes and display the data if the barcode image is obtained. The machine is also intended to provide a more convenient and cost-effective way of viewing data from barcodes than electronic barcode scanners. An individual who wants to inspect data identified by barcode numbers without having to go to a location that provides barcode scanner services can use this computer at any time and from any location [1]. As a result, the project has gone smoothly and without a hitch. It is advised that the computer have a slider so that the user can change the brightness of the image captured by the webcam for future device enhancement.

Keywords

Barcode, Graphical User Interface, MATLAB, Recognize, Product.

References

Norhashimah Mohd Saad, Barcode Recognition system, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), www.ijettcs.org, Volume 2, Issue 4, July-August 2013.
Brain M., 2000 ‘How UPC Barcodes Work?’, http://electronics.howstuffworks.com/upc.htm, last viewed 7th November 2008
W. Su, L. Ma, K. Hu and L. Zhang, "A research on integrated application of rfid-based lean manufacturing", Control and Decision Conference 2009. CCDC'09. Chinese, pp. 5781-5784, 2009.
A. Akbari, S. Mirshahi and M. Hashemipour, "Application of rfid system for the process control of distributed manufacturing system", Electrical and Computer Engineering (CCECE) 2015. 28th annual IEEE Canadian Conference on, 2015.
S. Mirshahi, A. Akbari and S. Uysal, “Implementation of structural health monitoring based on rfid and wsn", Electrical and Computer Engineering (CCECE) 2015. 28th annual IEEE Canadian Conference on, 2015.
R. Muniz, L. Junco, and A. Otero. A Robust Software Barcode Reader Using the Hough Transform. In Proc. of 1999 International Conference on Information Intelligence and Systems, pages 313-319. IEEE, IEEE Computer Society Press, 1999.
P.B. Nagpal et al, “Architecture of Software Defined Wide-Area Network: A Review “, GRD journals, vol 5 issue 6, May 2020.
P. Nagpal et al, “Health Monitoring Multifunction Band Using IOT “, Proceedings of International Conference on IoT Inclusive Life (ICIIL 2019), NITTTR Chandigarh, India ,2020, page no 159-165
P. B. Nagpal et al, “Design and Development of Android based Multimedia Player, International Journal of Innovative Research in Computer Science & Technology, vol, issue 3, May 2020

Cites this article as

[Nikash Pradhan, Dr. Rajesh Kumar Tyagi, Ms. Pooja Nagpal (2021), Barcode Recognition Techniques: Review & Application, International Journal of Innovative Research in Computer Science & Technology (IJIRCST), Vol-9, Issue-3, Page No-37-42], (ISSN 2347 - 5552). www.ijircst.org

Corresponding Author

Nikash Pradhan

Department of Computer Science & Engineering, College of Computer Science and Engineering, Amity University, Haryana, India(pradhannikash97@gmail.com)

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