Data Mining and Knowledge Engineering

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A Novel Method for Automatic Attendance Management System


Affiliations
1 Department of Electronics and Communication Engineering, Angel College of Engineering and Technology, India
     

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Attendance management is very important in schools, colleges and offices. Manual method of taking attendance consumes time, may have some errors and it can be easily manipulated. Hence the need for automatic attendance management is increasing [3]. Out of all the available methods face recognition method is efficient [1]. Automatic attendance management using face recognition does not require human interference [2]. Hidden Markov Method of face recognition is most efficient as it was not sensitive to lightning conditions [9].


Keywords

Biometric, Face Detection, Cropping, Face Recognition, HMM Method, Data Base, GSM, SQM Classifier.
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  • A Novel Method for Automatic Attendance Management System

Abstract Views: 196  |  PDF Views: 4

Authors

B. Kavinmathi
Department of Electronics and Communication Engineering, Angel College of Engineering and Technology, India
K. Mohana Sundaram
Department of Electronics and Communication Engineering, Angel College of Engineering and Technology, India
N. Ravi Kumar
Department of Electronics and Communication Engineering, Angel College of Engineering and Technology, India
E. Varadharajan
Department of Electronics and Communication Engineering, Angel College of Engineering and Technology, India

Abstract


Attendance management is very important in schools, colleges and offices. Manual method of taking attendance consumes time, may have some errors and it can be easily manipulated. Hence the need for automatic attendance management is increasing [3]. Out of all the available methods face recognition method is efficient [1]. Automatic attendance management using face recognition does not require human interference [2]. Hidden Markov Method of face recognition is most efficient as it was not sensitive to lightning conditions [9].


Keywords


Biometric, Face Detection, Cropping, Face Recognition, HMM Method, Data Base, GSM, SQM Classifier.