Library Management Using Real Time Face Recognition System
Vyavahare M.D1, Kataria S. S2
1Mr. Vyavahare M.D., Amrutvahini College of Engineering Sangamner, University of Pune. India.
2Asset. Prof. Kataria S. S, Amrutvahini College of Engineering Sangamner, University of Pune. India.
Manuscript received on March 10, 2015. | Revised Manuscript received on March 23, 2015. | Manuscript published on April 30, 2015. | PP: 24-27 | Volume-4 Issue-4, April 2015. | Retrieval Number: D3825044415/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper an automated system for human face recognition in a real time background world for a large homemade dataset of persons face. The task is very difficult as the real time background subtraction in an image is still a challenge. Addition to this there is a huge variation in human face image in terms of size, pose and expression. The system proposed collapses most of this variance. To detect real time human face Ada Boost with Haar cascade is used and a simple fast PCA and LDA is used to recognize the faces detected. The matched face is then used to mark attendance in the laboratory, in our case. This library management system is real time attendance system based on the human face recognition with a simple and fast algorithms and gaining a high accuracy rate. There two data base one is student data base and other is library data base system.
Keywords: PCA, Principal Component Analysis,2. Fast PCA, Fast Principal Component Analysis,3. LDA, Linear Discriminant Analysis,4.Ada Boost, Adaptive boost,5. GUI, Graphical user interface.