Embedded System Based Cashless Campus System using Biometric Authentication

Sri Vasavi College, Erode Self-Finance Wing 3rd February 2017 National Conference on Computer and Communication NCCC’17

Format: Volume 5, Issue 1, No 10, 2017

Copyright: All Rights Reserved ©2017

Year of Publication: 2017

Author: M.Ashok,S.Kumar

Reference:IJCS-201

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Abstract

The project entitled “Embedded System Based Cashless Campus System using Biometric Authentication”. The main objective of this system is to make all the transaction in a campus without liquid cash. Here we are trying to implement a cashless campus using biometric authentication that is finger print matching technology which allows transparent transaction. That means students do not need to keep cash to purchase anything inside the campus, they just need to press the finger against the module. The system will have the required database of the students stored in the memory of Arduino micro-controller. If the user is an authorized person, he can perform the transactions. After the transaction, sufficient amount will be deducted from their account and invoice is received to the user in the form of message through GSM module and thus it is paper less transaction. The whole system will be displayed on a TFT LCD Display.

References

1. Pushkar Sathe, Hemant Vulla, Saurabh Ramdin, Sujit Suvarna, Abhijeet Sonkusare, “Implementation of Cashless Campus System using Biometric Authentication,” International Journal of Emerging Technology in Computer Science & Electronics (IJETCSE) ISSN: 0976-1353 Volume 13 Issue 2 –MARCH 2015. 2. R.M. Bolle, J.H. Connell, and N.K. Ratha. Biometric perils and patches. Pattern Recognition, 35(12):2727–2738, 2002. 3. Ratha, N. K., Connell, J.H, and Bolle, R.M .2010. Enhancing Security and Privacy in Biometric Based Authentication System. IBM Systems Journal, 40(3), pp.615-634. 4. Yadavi. S.S, Gothwal, J. K. and Singh. R. 2011. “Multimodal Biometric Authentication System: Challenges and Solutions”. Global Journal of Computer Science and Technology. Volume XI Issues XVI Version 1, September, 2011. 5. Deravi, F. 1999. “Audio – Visual Person Recognition for Security and Access Control” Joint Information Systems Committee, University of Kent at Canterbury, Sept, 1999. 6. Y. Espelid, L.H. Netland, A. Klingsheim, and K. Hole. A proof of concept attack against norwegian internet banking systems. Financial Cryptography and Data Security, pages 197–201, 2008. 7. J. Daugman. New methods in iris recognition. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 37(5):1167–1175, October 2007.


Keywords

Embedded System, Arduino, GSM Module, Biometric Sensors

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