Automated attendance system via face recognition (national ICT R&D funded)
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Date
2014
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Publisher
UMT Lahore
Abstract
Face recognition from image is a popular problem in biometrics research. In the last decade, a lot of research has been done in this area. Face recognition is one of the most relevant applications of image analysis. It’s a true challenge to build an automated system which equals human ability to recognize faces. The advantage of face based identification over other biometrics is its wide acceptability because it does not require any keys, tokens, smart cards, PINs, plastic cards, passwords etc., In this work, face recognition has been done using various feature based approaches. In this paper, two new approaches for feature based face recognition are presented. In both of these approaches, new features are proposed and evaluated. The main contribution of this paper is usage of a slope table along with other features for face recognition. The slopes of different fiducial points of facial components (left eye, right eye, nose and lips) are computed to fill the slope table. These two approaches are compared with the existing approaches based on popular features like principal components and ratios of facial components. The results show that our approaches outperform the existing approaches.