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Exam Hall Authentication System Using Conventional Neural Network

Alagu Raja.R, Nitheesh.J, Sakthivel.P, Samson Jayakumar.K

Mrs.M.Vanitha (AP/CSE)

CSE & Selvam College of  Technology

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ABSTRACT -During examinations, Authentication has always been the major challenge. Hall ticket and identity cards are normally used in the examination system for fraud detection.   Existing examination system mainly deals with document image analysis techniques and biometric system in identification, recognition and classification of the candidate. In this project a deep learning model is made to develop automated face detection and recognition for detecting impersonation of candidate in examination system.  Automated face detection and recognition system using convolutional neural network can further be used in Hall Number, Seating Allocation, identity verification and attendance monitoring in examination system. The proposed deep learning model comprises of two steps: enrolment and authentication.

Key Words: Fake clearance card, Hall ticket, Examination, Seating Allocation , Attendance monitoring