Face Detection Opencv Based ATM Security System

Authors

  • Priyadharshini R  UG Scholar, Department of CSE, Nehru Institute of Technology, Coimbatore, Tamil Nadu, India
  • Priyadharshini V  UG Scholar, Department of CSE, Nehru Institute of Technology, Coimbatore, Tamil Nadu, India
  • Vijeletchumi R  UG Scholar, Department of CSE, Nehru Institute of Technology, Coimbatore, Tamil Nadu, India
  • Dr. Beaulah David  Assistant Professor, Department of CSE, Nehru Institute of Technology, Coimbatore, Tamil Nadu, India

DOI:

https://doi.org//10.32628/CSEIT2062121

Keywords:

ATM, Security, Fraud, Face Recognition, Mobile Application Management, Secret PIN

Abstract

The Aim of this paper is to bolster security of the traditional cash dispenser machine (ATM) model. So a replacement is proposed that enhances the general expertise, usability and convenience of the group action at the ATM. ATM are wide used these days by the people however its exhausting to hold their ATM card all over. The user might forget their ATM PIN number. This paper is developed for identification and authentication of ATM users so creating face as key. Options like face recognition, image steganography and mobile application management are used for sweetening of privacy of users and security of accounts. Face recognition technology helps the machine to spot each and every user unambiguously. Image steganography is the technique used for the image of user by embedding it into an another image and keep. Its one among the ways utilized to guard the image of users from malicious attacks and hackers. The mobile application helps the particular account holders to supply permission to others to do the ATM transactions. The mobile application contains options like secret key and amount withdrawal to offer confirmation. It helps folks to access another person’s ATM account in emergency with their authentication. This utterly eliminates all the possibilities of fraud thanks to larceny and duplicity of the ATM cards. Moreover, the experiment is that the method in ATM security framework to enhance security and innovative ATM group action.

References

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Published

2020-04-30

Issue

Section

Research Articles

How to Cite

[1]
Priyadharshini R, Priyadharshini V, Vijeletchumi R, Dr. Beaulah David, " Face Detection Opencv Based ATM Security System, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 2, pp.425-432, March-April-2020. Available at doi : https://doi.org/10.32628/CSEIT2062121