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Article . 2022
License: CC BY NC
Data sources: ZENODO
ZENODO
Article . 2022
License: CC BY NC
Data sources: Datacite
ZENODO
Article . 2022
License: CC BY NC
Data sources: Datacite
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Identify Genuinity of Product using Multiplexed Colored QR Codes

descriptionPublicationkeyboard_double_arrow_right Article 15 Aug 2022Publisher:IJERT.ORG
Authors: Jyoti Dnyandeo Lokhande; Pramod Gosavi;

doi: 10.5281/zenodo.18411043 , 10.5281/zenodo.18411042

Identify Genuinity of Product using Multiplexed Colored QR Codes

Abstract

QR code is a two-dimensional version of the barcode, typically made up of black and white pixel patterns. QR stands for "Quick Response". QR codes are capable of storing large amount of information. Colored QR are printed on products to provide detailed information about products. Consumers can scan QR to get this product information very effectively and fast. A prototype has been developed here for various image processing using an open source zXing library. Multiplexed QR codes provides higher encoding capacity than traditional QR codes increasing its performance.

Keywords

storage, multiplexing, Colored QR code, capacity.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average