ATM Theft Control Security by Iris Recognition Technique

Authors

  • R. S. Ramya  Assistant Professor, Department of Electronics and Communication Engineering, AVS Engineering College, Salem, Tamil Nadu, India
  • G. Nivetha  Department of Electronics and Communication Engineering, AVS Engineering College, Salem, Tamil Nadu, India
  • R. S. Saranya  Department of Electronics and Communication Engineering, AVS Engineering College, Salem, Tamil Nadu, India
  • S. Shanmathhi  Department of Electronics and Communication Engineering, AVS Engineering College, Salem, Tamil Nadu, India
  • U. Pavithra  Department of Electronics and Communication Engineering, AVS Engineering College, Salem, Tamil Nadu, India

Keywords:

Raspberry pi, Iris sensor, GSM, Buzzer alarm, Key pad, LCD display.

Abstract

In recent times we are experiencing increase in number of fraudulence in the Automated Teller Machine (ATM) systems. This project is to overcome the theft difficulties and provide reliable security. In this system the specified person can only enter the ATM; by using the embedded system we can give access to authorized person using iris recognition modules and keypad. This system is going to be developed using microcontroller, whenever the person accesses the ATM, it asks for the iris recognition and PIN number before the transaction. The authorized person gets message in mobile through GSM technology during the transaction. Iris recognition module is interfaced with microcontroller and the PIN is entered through keypad. If the user puts wrong PIN number more than three times the door of the ATM will be locked automatically and the nearest police station will get alert message via GSM modem.

References

  1. S. Mishra, A. Jain, S. Kumar and A. Goyal, “Enhanced ATM security system using GSM, GPS and Biometrics”, IJETR, vol. 7, issue. 8, pp. 34-35, August 2017.
  2. A.M. Jaiswal, M. Bartere, “Enhancing ATM security using Fingerprint and GSM technology”, IJCSMC, vol. 3, issue. 4, pp. 28- 32, April 2014.
  3. A. Hatekar, H. Babani, T. Kakde, N. Wadhwa, “Fingerprint based security system using GSM module”, Int. Journal of Engineering Research and Application, vol. 7, issue. 5 (part 2), pp. 31-34.
  4. Sivakumar T, G. Askok, K.Sai Venuprathap, “Design and implementation of security based ATM theft monitoring system”, International Journal of Engineering Invensions, vol. 3, issue. 1, pp. 01-07, August 2013.
  5. S. Lim, K. Lee, O. Byeon and T. Kim, “Efficient iris recognition system by optimization of feature vectors and classifier”, Etri Journal.
  6. V.Soffel, “Asynchronous interfaces overview: UART and LIN bus”, MicroController Pros Corporation, May 12, 2003.

Downloads

Published

2021-04-10

Issue

Section

Research Articles

How to Cite

[1]
R. S. Ramya, G. Nivetha, R. S. Saranya, S. Shanmathhi, U. Pavithra, " ATM Theft Control Security by Iris Recognition Technique, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 9, Issue 1, pp.37-40, March-April-2021.