Imperfection in exam halls is increasing day by day. This is due to careless of the invigilator and time-consuming process of candidate checking and authentication in exam halls. The impersonation in exam hall can be reduced by verifying the bi-modal features of the candidate. The proposed system consists of bi-modal scanner connected to Raspberry Pi and data stored in MATLAB database. The system is designed to allow the users by verifying their bi-modal, using face and fingerprint and block unauthorized users. Face detection is used in variety of application that identifies human faces in the form of digital images. The face detection also refers to psychological process by which humans can be checked. The bi-modal system was designed to verify the face and fingerprint features which saved into the database of the system and confirm the eligibility of candidate for examination. If the face details are matched, with database the webcam now sends a signal to fingerprint scanner. If the fingerprint matches with the database, then the door opens automatically.
Index Terms- Authentication, Fingerprint, Face Images, Impersonation.