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Microcontroller based Automatic Face Recognition Attendance System

Siddharth Vohra, Sagar Khattar, Arvind Kumar Published in Pattern Recognition

International Journal of Applied Information Systems
Year of Publication: 2012
© 2012 by IJAIS Journal
10.5120/ijais12-450826
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  1. Siddharth Vohra, Sagar Khattar and Arvind Kumar. Article: Microcontroller based Automatic Face Recognition Attendance System. International Journal of Applied Information Systems 4(8):32-37, December 2012. BibTeX

    @article{key:article,
    	author = "Siddharth Vohra and Sagar Khattar and Arvind Kumar",
    	title = "Article: Microcontroller based Automatic Face Recognition Attendance System",
    	journal = "International Journal of Applied Information Systems",
    	year = 2012,
    	volume = 4,
    	number = 8,
    	pages = "32-37",
    	month = "December",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

The automatic face recognition attendance system was designed with the aim of marking attendance of the students present in a classroom based on facial recognition and give out a marked attendance sheet. The system provides an efficient way of marking and storing the attendance without having to physically call out the name of each student. It helps save time and the attendance shall be directly stored without having to maintain a physical record.

Reference

  1. M. Turk and A. Pentland (1991). "Face recognition using eigenfaces". Proc. IEEE Conference on Computer Vision and Pattern Recognition.
  2. "Seeing With OpenCV" - A Five-Part Series by Robin Hewitt, published in the SERVO magazine 2007 issue.
  3. M. Turk, A Random Walk through Eigenspace, IEICE Transactions on Information and Systems, Vol. E84-D, No. 12, December 2001, pp. 1586-1595K. Elissa, "Title of paper if known," unpublished.
  4. Learning OpenCV: Computer Vision with the OpenCV Library [Paperback] Gary Bradski(Author), Adrian Kaehler.

Keywords

Face recognition, face detection, eigen-faces, eigen-vectors, servo motors, Arduino micro-controller, openCV, auto-focus, Laplace transform, webcam, Principle Component Analysis (PCA)