Review of Various Image Processing Techniques for Currency Note Authentication

Main Article Content

Trisha Chakraborty
Nikita Nalawade
Abhishri Manjre
Akanksha Sarawgi
Pranali P Chaudhari

Abstract

In cash transactions, the biggest challenge faced is counterfeit notes. This problem is only expanding due to the technology available and many fraud cases have been uncovered. Manual detection of counterfeit notes is time consuming and inefficient and hence the need of automated counterfeit detection has raised. To tackle this problem, we studied existing systems using Matlab, which used different methods to detect fake notes.

Article Details

How to Cite
[1]
Trisha Chakraborty, Nikita Nalawade, Abhishri Manjre, Akanksha Sarawgi, and Pranali P Chaudhari, “Review of Various Image Processing Techniques for Currency Note Authentication”, Int. J. Comput. Eng. Res. Trends, vol. 3, no. 3, pp. 119–122, Mar. 2016.
Section
Reviews

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