Face Recognition and Fingerprint Based New Generation ATM


Authors : Dr.G. Ranjitham, Senthamilarasu Manoharan, Vetrivelu Murugesan, Sree Sabaresan Ravi.

Volume/Issue : Volume 3 - 2018, Issue 3 - March

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://goo.gl/9wi5hr

Thomson Reuters ResearcherID : https://goo.gl/3bkzwv

Automated Teller Machines are widely used nowadays by people. But It’s hard to carry their ATM card everywhere, people may forget to have their ATM card or forget their PIN number. The ATM card may get damaged and users can have a situation where they can’t get access to their money. In our proposal, use of biometrics for authentication instead of PIN and ATM card is encouraged. Here, The Face ID and Fingerprint are preferred to high priority, as the combination of these two biometrics proved to be the best among the identification and verification techniques. The fingerprint of the user is identified and face image is verified, and the appropriate user is given authentication. For the prototype of the system, Raspberry pi microcontroller is used.

Keywords : Biometrics, Facial Recognition, Biometric Standards, Automatic Teller Machine Technology, Fingerprint, Liquid Crystal.

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