Video Analysis for Face Recognition in Real Time Attendance Monitoring System
Pages : 1088-1091
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Abstract
Authentication is a one of the major problems in computer-based management of the communication system. Now a days, human face recognition is an important biometric verification branch and it is commonly used in many applications including video monitoring system, human device interface etc. This paper describes a framework for student’s attendance system that uses an algorithm and CNN Classifier to incorporate face recognition technology. The presence is identified on the basis of the face recognition of the participant. A group image of a class will be captured and faces will be segmented from the captured image. The segmented faces are then compared to the predefined details of all class pupils. The program can quickly monitor the attendance of students.
Keywords: Face Detection; Face Recognition; Extraction Function, CNN.