DocumentCode :
3079761
Title :
Automated attendance management system based on face recognition algorithms
Author :
Chintalapati, Shireesha ; Raghunadh, M.V.
Author_Institution :
Dept. of E & CE, NIT Warangal, Warangal, India
fYear :
2013
fDate :
26-28 Dec. 2013
Firstpage :
1
Lastpage :
5
Abstract :
In this paper we propose an automated attendance management system. This system, which is based on face detection and recognition algorithms, automatically detects the student when he enters the class room and marks the attendance by recognizing him. The system architecture and algorithms used in each stage are described in this paper. Different real time scenarios are considered to evaluate the performance of various face recognition systems. This paper also proposes the techniques to be used in order to handle the threats like spoofing. When compared to traditional attendance marking this system saves the time and also helps to monitor the students.
Keywords :
educational administrative data processing; face recognition; feature extraction; support vector machines; SVM; automated attendance management system; face detection algorithm; face recognition algorithms; feature extraction; spoofing; student monitoring; support vector machine; Databases; Face; Face recognition; Feature extraction; Iris recognition; Principal component analysis; Support vector machines; Face Recognition; LBP; SVM;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Computing Research (ICCIC), 2013 IEEE International Conference on
Conference_Location :
Enathi
Print_ISBN :
978-1-4799-1594-1
Type :
conf
DOI :
10.1109/ICCIC.2013.6724266
Filename :
6724266
Link To Document :
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