JOURNAL ARTICLE

Barcode Detection using OpenCV-Python

Raghav PuriVikram Jain

Year: 2019 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

Almost all the products and items that exist into the market today have a unique code or an ID associated with them. This special ID is what we call as Barcode. Barcode Detection is very common and is a necessity today as it makes our job easy. One can just scan the code and easily get all the details of the product. It’s becoming even more popular and prevalent day by day. The algorithm involves mainly 4 steps: calculation of Scharr gradient, making the image blur, kernel application and erosions & dilations. After implementing this algorithm, we made a Barcode Detection Android App.

Keywords:
Python (programming language) Barcode Computer science Computer graphics (images) Artificial intelligence Computer vision Programming language Operating system

Metrics

8
Cited By
2.55
FWCI (Field Weighted Citation Impact)
5
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

QR Code Applications and Technologies
Physical Sciences →  Computer Science →  Information Systems
Vehicle License Plate Recognition
Physical Sciences →  Engineering →  Media Technology
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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