Attendance Maintenance Using Face Recognition Technique

G, Rajesh Babu (2014) Attendance Maintenance Using Face Recognition Technique. Masters thesis, Indian Institute of Technology, Hyderabad.

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Abstract

In any class room attendance maintenance is a hectic task for teacher, they need to call roll no or name. Based on the response and identication, they record the attendance for the student. Au- tomatic attendance maintenance system is challenging task because person identication in images is a dicult task. To solve the problem of identifying a person in images, some statistical based techniques are used such as Independent Component Analysis (ICA), Principal Component Analy- sis(PCA), LDA(Linear Discriminate analysis) etc. Biometric based techniques such as identication by iris, nger prints, face detection etc., are the most widely used techniques in computers. Our main motive is to maintain attendance in an organization by using face recognition technique. In Face recognition technique, the system learns the facial features and identies the human face in images. The Automation of attendance maintenance was implemented in two phases: image cap- turing and person identication . To capture the images we used Fire-i camera and for person face identication, we used PCA technique.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Thesis (Masters)
Uncontrolled Keywords: TD154
Subjects: Computer science > Big Data Analytics
Divisions: Department of Computer Science & Engineering
Depositing User: Users 4 not found.
Date Deposited: 29 Sep 2014 10:39
Last Modified: 04 Nov 2016 04:41
URI: http://raiith.iith.ac.in/id/eprint/114
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