Face Recognition System for ATMs: A Study by Sandeep Kaur, Slides of Computer Science

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ATM MACHINE

Submitted by – Sandeep Kaur

CSE 7

th

semester

INDEX

• (^) INTRODUCTION
• (^) LIBRARY REQUIREMENTS
• (^) FEASIBILITY STUDY
• (^) OBJECTIVES
• (^) METHODOLOGY
• (^) REQUIREMENTS

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. The Face ID is preferred to high priority, as the combination of these biometrics proved to be the best among the identification and verification techniques. FACE RECOGNITION SYSTEMS

• (^) FRS is an application that mechanically identifies a person from a digital image or a video outline from a video source.
• (^) One of the behaviors to do this method is by matching chosen facial features from a facial database and the image. In this system, with appropriate lightning and robust learning.
• (^) Further a positive visual match would cause the live image to be stored in the database so that future transactions would have broader base from which to compare if the original account image fails to provide a match –thereby decreasing false negatives.

LIBRARY

REQUIREMENTS

• TKINTER

• OPENCV

• NUMPY

• PANDAS

• OS MODULE

• PIL

OBJECTIVES

1. To reduction of fraudulent activities - Face recognition technology helps the machine to identify each and every user uniquely thus making face as a key, and this will decrease the maximum number of frauds that are due to the stolen of passwords.
2. Face recognition provides more security.
3. It allow user to perform operations like

• (^) Deposit money
• (^) Withdraw money
• (^) Check money status
• (^) Transfer money to another account

METHODOLOGY

THANK YOU