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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM36543

FACE RECOGNITION BASED BANK TRANSACTIONS AUTHORIZATION SYSTEM

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM36543

Volume:

8 |

7 |

Jul 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DGM

Dr. Geetha M

MGM

Manoj G M

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Abstract

This paper presents a novel approach to enhancing security in banking transactions through the integration of face recognition technology. Traditional authentication methods in banking, such as passwords and PINs, are susceptible to security breaches and fraud. In response to these vulnerabilities, there is a growing demand for more secure and user-friendly authentication mechanisms. Face recognition technology offers a promising solution by leveraging biometric features unique to each individual for authentication purposes. Upon initiating a transaction, users are prompted to authenticate themselves by capturing a live image of their face using a mobile device or webcam. The captured image is then processed by the face recognition system, which compares it against registered facial templates stored securely in the bank’s database. If the face matches the authorized user, the transaction is approved; otherwise, it is denied.

KEYWORDS

Convolutional Neural Networks image recognition Tensor Flow Deep Learning Teachable Machine.

Cite This Article

Dr. Geetha M, Manoj G M, "FACE RECOGNITION BASED BANK TRANSACTIONS AUTHORIZATION SYSTEM," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 7, Jul 2024.

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Publication Date

7/16/2024

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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