Comparative Analysis of Human Face Recognition by Traditional Methods and Deep Learning in Real-Time Environment

Author(s):  
Ruchi Jayaswal ◽  
Mansih Dixit
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.


Author(s):  
F.M. Javed Mehedi Shamrat ◽  
Shohag Kumar Bhowmik ◽  
Mst. Fahmida Muntasim ◽  
Tafsirul Islam Nibir ◽  
Tahmid Rashik Chowdhury ◽  
...  

1999 ◽  
Author(s):  
Haisong Liu ◽  
Minxian Wu ◽  
Guofan Jin ◽  
Qingsheng He ◽  
Yingbai Yan

1997 ◽  
Author(s):  
Haisong Liu ◽  
Minxian Wu ◽  
Gang Cheng ◽  
Guofan Jin ◽  
ShiFu Yuan ◽  
...  

1999 ◽  
Author(s):  
Wenyi Feng ◽  
Qingsheng He ◽  
Yingbai Yan ◽  
Guofan Jin ◽  
Minxian Wu

1999 ◽  
Author(s):  
Qingsheng He ◽  
Haisong Liu ◽  
Minxian Wu ◽  
Guofan Jin ◽  
Yingbai Yan

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