Survey On Biometric Based ATMs

Authors

  • Anukul Muley  Department of Computer Engineering, Dr. D. Y. Patil School of Engineering and Technology, Lohegaon, Maharashtra, India
  • Akash Bendre  Department of Computer Engineering, Dr. D. Y. Patil School of Engineering and Technology, Lohegaon, Maharashtra, India
  • Priti Maheshwari  Department of Computer Engineering, Dr. D. Y. Patil School of Engineering and Technology, Lohegaon, Maharashtra, India
  • Shanmukh Kumbhar  Department of Computer Engineering, Dr. D. Y. Patil School of Engineering and Technology, Lohegaon, Maharashtra, India
  • Prof. Bhagyashree Dhakulkar  Professor, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering and Technology, Lohegaon, Maharashtra, India

DOI:

https://doi.org/10.32628/IJSRST218632

Keywords:

Facial Recognition, Iris, Fingerprint, OTP, PIN.

Abstract

Nowadays Automated Teller Machines (ATMs) are widely used by people. People are dependent upon ATMs to conveniently meet their day-to-day needs. As it is an important factor there comes security. ATMs are electronic machines that are operated by customers to deposit or withdraw cash from banks. It is observed that the number of crimes related to ATMs is increased hence there is a need to provide better security to ATM machines. There are different technologies that are used to provide security to ATM machine which includes – RFID technology, fingerprint, face recognition, iris scan, OTP, reference number, random keypad, etc. In a traditional ATM system card and PIN numbers are used for authentication, where security plays a big concern, such as losing cards, stolen pin numbers, card cloning, shoulder surfing, fake keyboard, skimming, etc. In order to overcome these issues, this paper discusses various systems where ATM cards and pins are replaced by biometrics and how they made ATMs more secure.

References

  1. Christiawan, Bayu Aji Sahar, Azel Fayyad Rahardian, Elvayandri Muchtar (2018). “Fingershield ATM – ATM Security System using Fingerprint Authentication”, International Symposium on Electronics and Smart Devices (ISESD) 2018.
  2. Indranil Banerjee,Sjivangam Mookherjee,Sayantan Saha,Souradeep Ganguli,Subham Kundu,Debduhita Chakravarti (2019). “Advanced ATM System Using Iris Scanner”, International Conference on Opto-Electronics and Applied Optics (Optronix) 2019.
  3. Murugesan M, Santhosh M, Sasi Kumar T, Sasiwarman M, Valanarasu I (2020). “Securing ATM Transactions using Face Recognition”, International Journal of Advanced Trends in Computer Science and Engineering, March-April 2020.
  4. Darwin Nesakumar A, T Suresh, Nivedha T, K Nivedha , Priyadharshini G, P Mugilan (2020). “Smart ATM Security Using Face Recognition”, European Journal of Molecular & Clinical Medicine, April 2020.
  5. Shivani Shukla, Anjali Helonde, Sonam Raut, Shubhkirti Salode, Jitesh Zade (2018). “Random Keypad and Face Recognition Authentication Mechanism”, International Research Journal of Engineering and Technology (IRJET), March 2018.
  6. Prakash Chandra Mondal, Rupam Deb, and Md. Nasim Adnan (2017). “On Reinforcing Automatic Teller Machine (ATM) Transaction Authentication Security Process by Imposing Behavioral Biometrics”, 4th International Conference on Advances in Electrical Engineering (ICAEE), 2017.
  7. Rasib Khan, Ragib Hasan, and Jinfeng Xu (2015). “SEPIA- Secure PIN Authentication as a service for ATM using Mobile and wearable devices”,3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering ,2015.
  8. Sweedle Machado, Prajyoti D’silva, Snehal D’mello, Supriya Solaskar and Priya Chaudhary (2018). “Securing ATM pins and passwords using Fingerprint based Fuzzy Vault System”, IEEE 2018.
  9. Adrian Fernandes (2020). “Biometric ATM”, International Journal for Research in Applied Science & Engineering Technology (IJRASET) 2020.
  10. Dimaunahan, Ericson D, Ballado, Alejandro H, Cruz, Febus Reidj G, Dela Cruz, Jennifer C. (2017). “MFCC and VQ Voice Recognition Based ATM Security for the Visually Disabled”, IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM),2017.
  11. R.D.Salagar, Akshata Patil (2014). “Voice Enabled ATM Machine With Iris Recognition For Authentication”, 3rd IRF International Conference 10th May-2014.Christiawan, Bayu Aji Sahar, Azel Fayyad Rahardian, Elvayandri Muchtar (2018). “Fingershield ATM – ATM Security System using Fingerprint Authentication”, International Symposium on Electronics and Smart Devices (ISESD) 2018.
  12. Indranil Banerjee,Sjivangam Mookherjee,Sayantan Saha,Souradeep Ganguli,Subham Kundu,Debduhita Chakravarti (2019). “Advanced ATM System Using Iris Scanner”, International Conference on Opto-Electronics and Applied Optics (Optronix) 2019.
  13. Murugesan M, Santhosh M, Sasi Kumar T, Sasiwarman M, Valanarasu I (2020). “Securing ATM Transactions using Face Recognition”, International Journal of Advanced Trends in Computer Science and Engineering, March-April 2020.
  14. Darwin Nesakumar A, T Suresh, Nivedha T, K Nivedha , Priyadharshini G, P Mugilan (2020). “Smart ATM Security Using Face Recognition”, European Journal of Molecular & Clinical Medicine, April 2020.
  15. Shivani Shukla, Anjali Helonde, Sonam Raut, Shubhkirti Salode, Jitesh Zade (2018). “Random Keypad and Face Recognition Authentication Mechanism”, International Research Journal of Engineering and Technology (IRJET), March 2018.
  16. Prakash Chandra Mondal, Rupam Deb, and Md. Nasim Adnan (2017). “On Reinforcing Automatic Teller Machine (ATM) Transaction Authentication Security Process by Imposing Behavioral Biometrics”, 4th International Conference on Advances in Electrical Engineering (ICAEE), 2017.
  17. Rasib Khan, Ragib Hasan, and Jinfeng Xu (2015). “SEPIA- Secure PIN Authentication as a service for ATM using Mobile and wearable devices”,3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering ,2015.
  18. Sweedle Machado, Prajyoti D’silva, Snehal D’mello, Supriya Solaskar and Priya Chaudhary (2018). “Securing ATM pins and passwords using Fingerprint based Fuzzy Vault System”, IEEE 2018.
  19. Adrian Fernandes (2020). “Biometric ATM”, International Journal for Research in Applied Science & Engineering Technology (IJRASET) 2020.
  20. Dimaunahan, Ericson D, Ballado, Alejandro H, Cruz, Febus Reidj G, Dela Cruz, Jennifer C. (2017). “MFCC and VQ Voice Recognition Based ATM Security for the Visually Disabled”, IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM),2017.
  21. R.D.Salagar, Akshata Patil (2014). “Voice Enabled ATM Machine With Iris Recognition For Authentication”, 3rd IRF International Conference 10th May-2014.

International Journal of Scientific Research in Science and Technology

Downloads

Published

2021-12-30

Issue

Volume 8, Issue 6, November-December-2021

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Anukul Muley, Akash Bendre, Priti Maheshwari, Shanmukh Kumbhar, Prof. Bhagyashree Dhakulkar "Survey On Biometric Based ATMs" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 6, pp.292-297, November-December-2021. Available at doi : https://doi.org/10.32628/IJSRST218632