Improved Face Recognition Using ICP Techniques in Camera Surveillance Systems
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 5
Abstract
Face Recognition is important task in real time biometric systems. The main difficult problem in the image processing field is Face recognition. Pose and expressions are the most important challenges among the various factors that control the Face recognition. Pose and expression severely affects the performance of face recognition. In existing a novel face descriptor, Local vector pattern (LVP), for robust face recognition that encodes the structural information, and the intensity variations of the face’s texture. In proposed implement the Linear Discriminant Analysis, Principle Component Analysis, Iterative Closest Point. These techniques are not difficult even it includes the expressions but produces much better results.
Authors and Affiliations
Neela Marimuthu, Matheshwaran Veerappan
Keywords
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