A review paper on attendance marking system based on face recognition

Providing accurate attendance marking system in real-time is challenging. It is tough to mark the attendance of a student in the large classroom when there are many students attending the class. Many attendance management systems have been implemented in the recent research. However, the attendance management system based on facial recognition still has issues. Thus many research have been conducted to improve system. This paper reviewed the previous works on attendance management system based on facial recognition. This article does not only provide the literature review on the earlier work or related work, but it also provides the deep analysis of Principal Component Analysis, discussion, suggestions for future work.

[1]  Issam Dagher,et al.  Incremental PCA-LDA algorithm , 2010, 2010 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications.

[2]  Rizoan Toufiq,et al.  Face recognition system using PCA-ANN technique with feature fusion method , 2014, 2014 International Conference on Electrical Engineering and Information & Communication Technology.

[3]  E. Rekha,et al.  An efficient automated attendance management system based on Eigen Face recognition , 2017, 2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence.

[4]  Matti Pietikäinen,et al.  A comparative study of texture measures with classification based on featured distributions , 1996, Pattern Recognit..

[5]  Jong-Min Kim,et al.  A Study of Face Recognition Using the PCA and Error Back-Propagation , 2010, 2010 Second International Conference on Intelligent Human-Machine Systems and Cybernetics.

[6]  Timothy F. Cootes,et al.  Interpreting face images using active appearance models , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.

[7]  Priyanka Wagh,et al.  Attendance system based on face recognition using eigen face and PCA algorithms , 2015, 2015 International Conference on Green Computing and Internet of Things (ICGCIoT).

[8]  Yohei KAWAGUCHI,et al.  Face Recognition-based Lecture Attendance System , 2005 .

[9]  Ashim Saha,et al.  Study of Implementing Automated Attendance System Using Face Recognition Technique , 2012 .

[10]  Chin-Chuan Han,et al.  Facial feature detection using geometrical face model: An efficient approach , 1998, Pattern Recognit..

[11]  David J. Kriegman,et al.  Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.

[12]  Jomon Joseph,et al.  Automatic Attendance Management System Using Face Recognition , 2013 .

[13]  Siddharth Swarup Rautaray,et al.  A Survey on Face Detection and Recognition Techniques in Different Application Domain , 2014 .

[14]  Vijay Bhaskar Semwal,et al.  Real time face recognition using adaboost improved fast PCA algorithm , 2011, ArXiv.

[15]  Preeti Mehta.  An Efficient Attendance Management Sytem based on Face Recognition using Matlab and Raspberry Pi 2 , 2016 .

[16]  Thai Hoang Le,et al.  Applying Artificial Neural Networks for Face Recognition , 2011, Adv. Artif. Neural Syst..

[17]  M. Turk,et al.  Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.

[18]  Matti Pietikäinen,et al.  Performance evaluation of texture measures with classification based on Kullback discrimination of distributions , 1994, Proceedings of 12th International Conference on Pattern Recognition.

[19]  Surekha Borra,et al.  Attendance management system using hybrid face recognition techniques , 2016, 2016 Conference on Advances in Signal Processing (CASP).

[20]  Liton Chandra Paul,et al.  Face recognition using Principal Component Analysis method , 2012 .

[21]  Masoud Mazloom,et al.  Combinational Method for Face Recognition: Wavelet, PCA and ANN , 2008, 2008 Digital Image Computing: Techniques and Applications.

[22]  Ririn Ikana Desanti,et al.  Student attendance system in classroom using face recognition technique , 2016, 2016 International Conference on Information and Communication Technology Convergence (ICTC).

[23]  Timothy F. Cootes,et al.  Active Appearance Models , 1998, ECCV.

[24]  Sabbir Ahmed,et al.  Design and implementation of iris recognition based attendance management system , 2015, 2015 International Conference on Electrical Engineering and Information Communication Technology (ICEEICT).

[25]  A. Navaz,et al.  FACE RECOGNITION USING PRINCIPAL COMPONENT ANALYSIS AND NEURAL NETWORKS , 2013 .

[26]  Visar Shehu,et al.  Using real time computer vision algorithms in automatic attendance management systems , 2010, Proceedings of the ITI 2010, 32nd International Conference on Information Technology Interfaces.

[27]  Juyang Weng,et al.  Using Discriminant Eigenfeatures for Image Retrieval , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[28]  S. Nandyal,et al.  An Automatic Attendance System Using Image processing , 2015 .