期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：6
页码：7972-7976
出版社：TechScience Publications
摘要：Human face is undoubtedly one of the most deserving biometric an aspect for which automatic authentication is very vital. Three-dimensional face recognition exploits facial surface information. Compared to 2D face recognition, 3D exhibits good robustness and high fake resistance. This makes it a good candidate to be used in high security areas. Face recognition is sensitive to aspects such as variation, illumination and occlusion. However, dealing with occlusions covering the facial surface is a great challenge which should be handled in such a way as to enable applicability to fully automatic security systems. In this paper, we propose an automatic 3D face detection and recognition system which is robust to occlusions. We basically consider two problems namely occlusion handling for surface registration and recognition with missing data. Face can be detected by using Viola Jones technique. Registration scheme makes use of Iterative Closest Point technique. Principal Component Analysis is being used to deal with recognition of face. Experimental results confirm that proposed techniques offer an occlusion robust face detection and recognition system.
