A Literature Survey on Automatic Attendance System for BDCE using Face Detection
Keywords:
Face Detection and Recognition, Open CV, Principal Component Analysis (PCA)Abstract
Understudy record by and large contains individual data about specific individual alongside photo. To distinguish any understudy, we need some recognizable proof in regards to individual. By and large the quality and goals of the recorded picture sections is poor and hard to identify a face. To solve such issue, we are creating a computer program. Recognizable proof should be possible from numerous points of view like unique finger impression, eyes, DNA and so forth. One of the applications is face identification. The programmed participation the board will supplant the manual technique, which takes a ton of tedious and hard to keep up. There are many biometric processes, in that face recognition is the best method. In this paper we will portray the participation without human obstruction. In this strategy the camera is settled in the classroom and it will catch the picture, the appearances are identified and after that it is perceived with the database and finally the attendance is marked.
References
- Y. Kawaguchi, "Face Recognition-based Lecture Attendance System," The 3rd AEARU., no. October 2005.
- V. Shehu and A. Dika, "Using real-time computer vision algorithms in automatic attendance management systems," Information Technology Interfaces (ITI), 2010 32nd International Conference on, pp. 397–402, 2010.
- N. Kar, M. K. Debbarma, A. Saha, and D. R. Pal, "Study of Implementing Automated Attendance System Using Face Recognition Technique," International Journal of Computer and Communication Engineering, vol. 1, no. 2, pp. 100–103, 2012.
- J. Joseph and K. P. Zacharia, "Automatic Attendance Management System Using Face Recognition," International Journal of Science and Research (IJSR), vol. 2, no. 11, pp. 327–330, 2013.
- J. Kanti and A. Papola, "Smart Attendance using Face Recognition with Percentage Analyzer," vol. 3, no. 6, pp. 7321–7324, 2014.
- N. Kar, M. K. Debbarma, A. Saha, and D. R. Pal, "Study of Implementing Automated Attendance System Using Face Recognition Technique," International Journal of Computer and Communication Engineering, vol. 1, no. 2, pp. 100–103, 2012.
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