ABSTRACT

The project work "Face Identification and Verification for an Effective Bank Credit Card system" is a system designed to improve the security system financial institution. The project work focuses on two authentication system which the face recognition and credit card verification. The issues of theft, i.e an authorized person having an access to financial properties of another has been in great disaster to the advancing digital system. The problem faced by credit card users is vulnerability to lot of privacy issues such as credit card. This may commonly occur when users give their credit card numbers to unfamiliar individuals or when cards are lost. Our solution proposes a technique by which the features extracted from the image clicked during the payment made by user on ecommerce portal will be compared to the features from the training dataset of the respective user. Features extracted from the Images stored in administrator database acts as the training data set for authentication purpose. The project implementation employed and the methodology used spiral model of software development life cycle with a reason that the system implements in an iterative manner and the framework is the python flask, the programing language used. The database model user is sqlite3. The web based platform was tested, the administrator side register user, take picture and dataset. the users credit card identification and facial recognition was tested with more than two and it was able to identify them separately and give them access to their respective dashboard/account.