Histogram of Oriented Gradients Based Face Recognition To Secure ATM Transactions

Authors

  • Jyothika Allenki  Department of Information Technology, Sreenidhi Institute of Science & Technology, Hyderabad, Telangana, India
  • Anusha Vemireddy  Department of Information Technology, Sreenidhi Institute of Science & Technology, Hyderabad, Telangana, India
  • Neha Korukanti  Department of Information Technology, Sreenidhi Institute of Science & Technology, Hyderabad, Telangana, India
  • Dr. Sunil Bhutada  Department of Information Technology, Sreenidhi Institute of Science & Technology, Hyderabad, Telangana, India

Keywords:

Automated Teller Mchine(ATM), Face Recognition, Local Binary Pattern, Histogram, OpenCV

Abstract

Automated Teller Machine (ATM) is very convenient machine for everyone to use to withdraw money, checking balance etc. As all sectors of people are highly dependent on ATM’s, this made ATMs are in demand. To improve security we have added an extra layer called “Face recognition”, which uses high quality images for authentication purpose. Firstly, the person can enter the card number, pin then a video for a period of time is captured and face of the user is detected which gets transformed into data and validated with the image data in the bank database. In case any unauthorized person tries to withdraw the money, access to the withdrawal will be halted. If cardholder is validated as the user, it is considered as authorized transaction and they can do any transactions like money withdrawal, checking balance etc. This face recognition process will add an extra layer and provides greater security. In this project we are using Histogram of Gradient algorithm, python libraries like OpenCV for Face Detectionand Local Binary Pattern for Face recognition.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2022-06-30

Issue

Volume 9, Issue 3, May-June-2022

Section

Research Articles

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

How to Cite

[1]
Jyothika Allenki, Anusha Vemireddy, Neha Korukanti, Dr. Sunil Bhutada, " Histogram of Oriented Gradients Based Face Recognition To Secure ATM Transactions , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 3, pp.377-381, May-June-2022.