Importance of Face Recognition in Student Attendance Management Systems |
Author(s): |
| Ankit Pandita , Bharati Vidyapeeth College of Engineering; Shailesh Madrecha, Bharati Vidyapeeth College of Engineering |
Keywords: |
| Face Recognition, Principal Component Analysis (PCA) Algorithm |
Abstract |
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Authentication has become one of the most critical issues in today’s Computer based communication systems. Face is one of the basic characteristics which can distinguish a person from others. Due to increase in the rate of cyber-crimes, human face recognition has grown as an enormously important method of biometric verification in context of computer vision, pattern recognition, fraud detection, surveillance, network security and content based video processing. The techniques to exploit this characteristic have improved a lot since the advent of image processing techniques. Attendance management is done in each and every class in all colleges and schools. In the traditional approach for attendance management, the professor calls student name and records the attendance, thereby managing the system manually. The sole aim of the system described in this paper is to deviate from the traditional system by using a new approach which will take attendance of the students using image processing. This paper describes the working of a Student’s Attendance System in a classroom environment which uses Principal Component Analysis (PCA) algorithm as the face recognition technology to distinguish a face from another one and various other objects. The proposed biometric system records and maintains the attendance of the students along with providing the faculty the access to that information at ease. |
Other Details |
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Paper ID: IJSRDV6I10516 Published in: Volume : 6, Issue : 1 Publication Date: 01/04/2018 Page(s): 705-708 |
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