Abstract:

The rise in automated teller machine fraud over the past ten years has prompted us to employ biometrics for personal identification to achieve a high degree of security and precision. This study outlines a system that uses physiological biometric fingerprint and iris authentication in place of ATM cards and PINs. Additionally, the one-time password (OTP) feature gives customers anonymity and frees them from having to remember PINs. Additionally, the system protects the ATM terminal from theft and fire by including a DC motor for rolling the shutter and a pump motor. The fingerprint and iris samples of the actual user are stored in the database during the enrolment process. The first step in the transaction process is to take and compare iris and fingerprint patterns. The algorithm will automatically discriminate between phony samples and genuine, valid traits. The user can check his or her balance or withdraw or deposit cash after entering a valid OTP. The account is disabled in the event of any fraudulent access attempts. Using a fingerprint module with a minutia matching technique and a graphical user interface (GUI) based on the Circular Hough Transform, respectively, the experimental results are obtained on the fingerprint and iris data set in real time in this article.

Description:

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