A real-time face recognition method on video sequence using KFDA and NIB2DPCA

Author(s):  
Zhou Rong-ying ◽  
Guan Ye-peng
Author(s):  
Kevin ◽  
Eugene Reginald Patrick ◽  
Samuel Wijaya ◽  
Edy Irwansyah

Author(s):  
Reshma P ◽  
Muneer VK ◽  
Muhammed Ilyas P

Face recognition is a challenging task for the researches. It is very useful for personal verification and recognition and also it is very difficult to implement due to all different situation that a human face can be found. This system makes use of the face recognition approach for the computerized attendance marking of students or employees in the room environment without lectures intervention or the employee. This system is very efficient and requires very less maintenance compared to the traditional methods. Among existing methods PCA is the most efficient technique. In this project Holistic based approach is adapted. The system is implemented using MATLAB and provides high accuracy.


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