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Artificial Inteligence Based Face Detection And Recognition For Automatic Attendance System

Author

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  • Deeksha M
  • Sana Seham
  • Geethanjali S
  • Tanuja K

Abstract

A robust and reliable classroom attendance system using Artificial Intelligence, which is based on face detection and recognition is presented in this paper. Here input to the system is a live video and output is a consolidated with attendance of the students in the video. Automated attendance system can be implemented using various techniques of biometrics. Face recognition is one of them which do not involve human intervention. In this paper, attendance is registered from a live video of students. Students are identified by first performing Face Detection which separates faces from non- faces, and then Face Recognition is carried out which finds the match of the detected face from the face database (collection of student’s name and images). If it is a valid match then attendance is registered to a tailored database and further status will be forwarded to parents, in case if students have attendance shortage. Face recognition is performed and matched on the basis of the accuracy by detection and recognition using Principle Component Analysis (PCA) algorithm and Viola Jones algorithm.

Suggested Citation

  • Deeksha M & Sana Seham & Geethanjali S & Tanuja K, 2018. "Artificial Inteligence Based Face Detection And Recognition For Automatic Attendance System," 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. 4(6), pages 463-468, May.
    • Handle: RePEc:jbh:ijsrcs:v4:y2018:i6:id:hcseit184687
    Note: Article URL: https://ijsrcseit.com/CSEIT184687
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