• 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