Barcode Recognition Techniques: Review & Application

Authors

  • Nikash Pradhan Department of Computer Science & Engineering, College of Computer Science and Engineering, Amity University, Haryana, India Author
  • Rajesh Kumar Tyagi Department of Computer Science & Engineering, College of Computer Science and Engineering, Amity University, Haryana, India Author
  • Pooja Nagpal Department of Computer Science & Engineering, College of Computer Science and Engineering, Amity University, Haryana, India Author

Keywords:

Barcode, Graphical User Interface, MATLAB, Recognize, Product

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. 

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References

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Published

2021-05-30

How to Cite

Barcode Recognition Techniques: Review & Application. (2021). International Journal of Innovative Research in Computer Science & Technology, 9(3), 37–42. Retrieved from https://acspublisher.com/journals/index.php/ijircst/article/view/11482