IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v3y2018i3idhcseit1833359.html

Automatic Attendance Marking System Using Face Recognition

Author

Listed:
  • R. Mangai Begum
  • F. Anthony Vetri Vendhan
  • P. Edwin William

Abstract

Face Recognition as it is often referred to as, analyses characteristics of a person's face image input through a camera. Facial recognition or face recognition as it is often referred to as, analyses characteristics of a person's face image input through a camera. Verification or identification can be accomplished from two feet away or more, without requiring the user to wait for long periods of time or do anything more than look at the camera. Traditionally staff attendance is taken manually by using attendance sheet, given by the college member in class. The Current attendance marking methods are monotonous & time consuming. Manually recorded attendance can be easily manipulated. Hence the project is proposed to tackle all these issues. The proposed system consists of a high resolution digital camera put on gate to monitor the office room. The data or images obtained by the camera are sent to a computer programmed system for further Analysis. The obtained images are then compared with a set of reference images of each of the staff & salary the corresponding attendance. The camera module can be a wireless or wired system.

Suggested Citation

  • R. Mangai Begum & F. Anthony Vetri Vendhan & P. Edwin William, 2018. "Automatic Attendance Marking System Using Face Recognition," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(3), pages 1124-1127, April.
  • Handle: RePEc:jbh:ijsrcs:v3:y2018:i3:id:hcseit1833359
    Note: Article URL: https://ijsrcseit.com/CSEIT1833359
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT1833359
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/paper/CSEIT1833359.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jbh:ijsrcs:v3:y2018:i3:id:hcseit1833359. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (email available below). General contact details of provider: https://ijsrcseit.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.