Intelligent Currency Counter cum Counterfeit Detection: A Survey

Authors

  • Shivaprakasha K S HOD, NDRK Institute of Technology

DOI:

https://doi.org/10.37628/ijoippr.v3i2.282

Abstract

Any developing country faces many challenges with respect to its economical stability. One such threat in cash transactions is fake notes. Due to advances in scanning and printing technologies the production of fake notes can be easily done. Manual detection of fake notes is time consuming and so is counting currency of different denomination in a bundle. This project focuses on building a device that accurately counts money and also detects counterfeit notes.

Author Biography

  • Shivaprakasha K S, HOD, NDRK Institute of Technology
    Associate Professor Department of Electronics and Communication Engineering Bahubali College of Engineering Shravanabelagola INDIA

References

M.Deborah, C.SoniyaPrathap, “Detection of Fake Currency using Image Processing,” International Journal of Innovative Science, Engineering & Technology, Vol. 1, Issue 10, December 2014, pp. 151-157.

Binod Prasad Yadav, C. S. Patil, R. R. Karhe, P.H Patil, “An Automatic Recognition of Fake Indian Paper Currency Note using MATLAB,” International Journal of Engineering Science and Innovative Technology (IJESIT), Vol. 3, Issue 4, July 2014. pp. 560-566.

Jayant Kumar Nayak, ChaitanMajhi, Apurva Kumar Srivastav, Ajaya Kumar Dash, “Neural Network Approach for Indian Currency Recognition,” IEEE Indicon, 2015. pp. 1-6.

HosseinFaridGhassem Nia and Huosheng Hu, “Vision-based Precise Cash Counting in ATM Machines,” Proceedings of 2014 IEEE International Conference on Mechatronics and Automation, August 3 - 6, Tianjin, China, pp. 521-526.

Megha Thakur and Amrit Kaur, “Various Fake currency Detection Techniques,” International Journal for Technological Research in Engineering, Vol. 1, Issue 11, July-2014. pp. 1309-1313.

Published

2017-12-02

Issue

Section

Articles