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Automatic Attendance using Face Recognition

Author(s):

Shivani Kudale , Trinity College of Engineering and Research; Pooja Humbe, Trinity College of Engineering and Research; Apurva Kamshetty, Trinity College of Engineering and Research; Akshata Jagtap, Trinity College of Engineering and Research; Krushna Belerao, Trinity College of Engineering and Research

Keywords:

Image Processing, Face Detection, Face Recognition, Image Extraction, Template Matching

Abstract

The Image Processing is vastly growing which is used to perform operations on an image to get an improved image or to get some useful information. Human face detection and recognition is an important technology used in various applications. The traditional technique for taking attendance is Roll Number of student and record the attendance in sheet which takes a lot of time. Because of that, system like automatic attendance is used. To overcome the problems like wastage of time and incorrect attendance, the proposed system gives a method like when person enters the class room then the system marks the attendance by extracting the image features. The system will mark and record the attendance of the student automatically. The student database is generated; it consists of name, images and roll number of the students. It makes an entry in log report of each and every student of each and every subject and generates a PDF report of the attendance of the student. The camera plays a most important role in the working of this system. The system is basically a web application so that users of this system can use it and can perform all the tasks over the internet.

Other Details

Paper ID: IJSRDV6I30375
Published in: Volume : 6, Issue : 3
Publication Date: 01/06/2018
Page(s): 545-548

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