Enhanced Security Features of ATM through face Recognition

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 is preferred to high priority, as the combination of thesebiometrics proved to be the best among the identification and verificationtechniques. The implementation of ATM machines comes with the issue of beingaccessed by illegitimate users with valid authentication code.The users are verified by comparing theimage taken in front of the ATM machine, to the images which are present in the. If the user is legitimate the new image is used to train the model forfurther accuracy. This system uses openCV to process the image being obtainedandHaar Cascade Classifier to detect the faces in the image. The face recognitionis done using Local Binary Pattern.