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Title: Robust face recognition using automatic age normalization
Authors: Lanitis, Andreas 
Taylor, Chris J. 
Major Field of Science: Social Sciences
Field Category: Computer and Information Sciences;Arts;Design
Keywords: Face Recognition;Ageing Variation
Issue Date: 29-May-2000
Source: Proceedings of 10th Mediterranean Electrotechnical Conference - MELECON, 2000, pp.478-481
Start page: 478
End page: 481
Conference: 10th Mediterranean Electrotechnical Conference 
Abstract: A large number of automatic face recognition systems have been reported in the literature. Many of them are robust to within class appearance variation of subjects such as variation in expression, lighting and pose. However, most of the face identification systems developed, are sensitive to changes in the age of individuals. In this paper we demonstrate that automatic age simulation techniques can be used for designing face recognition systems, robust to ageing variation. In this context, the perceived age of the subjects in the training and test images is modified before the training and classification procedures, so that ageing variation is eliminated. Experimental results demonstrate that the performance of our face recognition system can be improved significantly, when this approach is adopted.
DOI: 10.1109/MELCON.2000.879974
Type: Conference Papers
Affiliation : Cyprus College 
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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