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FACE RECOGNITION BASED NEW GENERATION ATM SYSTEM

    Authors

    • Dr S Sasipriya 1
    • Dr P. Mayil Vel Kumar 2
    • S. Shenbagadevi 3

    1 Professor1, Department of Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India 641008

    2 Associate Professor and Head /CSE, Karpagam Institute of Technology, Coimbatore, India

    3 Assistant Professor, Karpagam Institute of Technology, Coimbatore, India

,

Document Type : Research Article

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Abstract

In the technological advances in financial infrastructure, most bank customers prefer to use Automatic Teller Machines (ATM) for carrying out their banking transactions. To improve the security of these transactions, a new generation ATM machine which is based on face recognition system which replaces ATM card with RFID tag. In this, high quality image has important role in recognition process. Face image is used for authentication purpose. Firstly, the face image of particular person is compared with the database image. Then the compared output result is sent to the control unit through serial communication. If an unauthorized person is identified, an alert message is sent to the corresponding user. Thus, an ATM model which provides security by using Facial verification software by adding up facial recognition systems can reduce forced transactions to a great extent and provide hard-secure authentication. Here Raspberry Pi microcontroller is used in the controlling part

Keywords

  • ATM
  • Raspberry Pi
  • RFID tag
  • SEPIA
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European Journal of Molecular & Clinical Medicine
Volume 7, Issue 4
November 2020
Page 2854-2865
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  • Article View: 222
  • PDF Download: 5,155

APA

Sasipriya, D. S., Kumar, D. P. M. V., & Shenbagadevi, S. (2020). FACE RECOGNITION BASED NEW GENERATION ATM SYSTEM. European Journal of Molecular & Clinical Medicine, 7(4), 2854-2865.

MLA

Dr S Sasipriya; Dr P. Mayil Vel Kumar; S. Shenbagadevi. "FACE RECOGNITION BASED NEW GENERATION ATM SYSTEM". European Journal of Molecular & Clinical Medicine, 7, 4, 2020, 2854-2865.

HARVARD

Sasipriya, D. S., Kumar, D. P. M. V., Shenbagadevi, S. (2020). 'FACE RECOGNITION BASED NEW GENERATION ATM SYSTEM', European Journal of Molecular & Clinical Medicine, 7(4), pp. 2854-2865.

VANCOUVER

Sasipriya, D. S., Kumar, D. P. M. V., Shenbagadevi, S. FACE RECOGNITION BASED NEW GENERATION ATM SYSTEM. European Journal of Molecular & Clinical Medicine, 2020; 7(4): 2854-2865.

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