Real Time Person Recognition and Attendance Marking Using Holistic Based Approach

Reshma P, Muneer VK, Muhammed Ilyas P


Face recognition is a challenging task for the researches. It is very useful for personal verification and recognition and also it is very difficult to implement due to all different situation that a human face can be found. This system makes use of the face recognition approach for the computerized attendance marking of students or employees in the room environment without lectures intervention or the employee. This system is very efficient and requires very less maintenance compared to the traditional methods. Among existing methods PCA is the most efficient technique. In this project Holistic based approach is adapted. The system is implemented using MATLAB and provides high accuracy.

Full Text:



K. Sai Prasad Reddy and Dr. K. Nagabhushan Raju., Design and Implementation of an Algorithm for Face Recognition by using Principal Component Analysis (PCA) in MATLAB, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 6, Issue 10, October 2016 ISSN: 2277 128X .

Priyanka Dhoke and M.P. Parsai., A MATLAB based Face Recognition using PCA with Back Propagation Neural network, International Journal of Innovative Research in Computer and Communication Engineering, Vol. 2, Issue 8, August 2014.

Ashvini E. Shivdas., Face Recognition Using Artificial Neural Network, International Journal of Research in Management, Science & Technology (E-ISSN: 2321-3264) Vol.2, No.1, April 2014.

Ashwini D.Gadekar and Sheeja S.Suresh., Face Recognition Using SIFT- PCA Feature Extraction and SVM Classifier, IOSR Journal of VLSI and Signal Processing (IOSR-JVSP) Volume 5, Issue 2, Ver. II (Mar. - Apr. 2015).

Mrunmayee Shirodkar ,Varun Sinha ,Urvi Jain ,Bhushan Nemade “ AUTOMATED ATTENDANCE MANAGEMENT SYSTEM USING FACE RECOGNITION” International Journal of Computer Applications (0975 – 8887) International Conference and Workshop on Emerging Trends in Technology (ICWET 2015)

Deise Maia and Roque Trindade “FACE DETECTION AND RECOGNITION IN COLOR IMAGES UNDER MATLAB ” International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.9, No.2 (2016).

Shreya Nallawar, Neha Giri, Neeraj Deshbhratar, Shamal Sane, Trupti Gautre, Avinash Bansod “MODERN TECHNIQUE OF LECTURE ATTENDANCE USING FACE RECOGNITION” International Journal of Advance Foundation And Research In Science & Engineering (IJAFRSE) Volume 1, Issue 8, January 2015.

Ajinkya Patil1, Mrudang Shukla2 “IMPLEMENTATION OF CLASSROOM ATTENDANCE SYSTEM BASED ON FACE RECOGNITION IN CLASS ,International Journal of Advances in Engineering & Technology July 2014.

Abhishek Jha “CLASS ROOM ATTENDANCE SYSTEM USING FACIAL RECOGNITION SYSTEM ”The International Journal of Mathematics, Science, Technology and Management.

Jomon Joseph, K. P. Zacharia “AUTOMATIC ATTENDANCE MANAGEMENT SYSTEM USING FACE RECOGNITION” International Journal of Science and Research (IJSR).

Parteek Kumar ,Praveen Sehgal “ FACE DETECTION USING PRINCIPAL COMPONENT ANALYSIS ”International Journal of Computer Engineering & Technology (IJCET) Volume 7, Issue 3, May-June 2016.

M. Turk and A. Pentland ,―Eigenfaces for recognition‖, Journal of Cognitive Neuroscience, vol.3, No.1, 1991.

M. Turk and A. Pentland, ―Face recognition using eigenfaces‖, Proc. IEEE Conf. on Computer Vision and Pattern Recognition, pages 586-591, 1991.

A. Pentland and T. Choudhury, ―Face recognition for smart environments‖, Computer, Vol.33 Iss.2, Feb. 2000.

R. Brunelli and T. Poggio, ―Face recognition: Features versus Templates‖, IEEE Trans. Pattern Analysis and Machine Intelligence, 15(10): 1042-1052, 1993.



  • There are currently no refbacks.

© International Journals of Advanced Research in Computer Science and Software Engineering (IJARCSSE)| All Rights Reserved | Powered by Advance Academic Publisher.