Access control: adaptation and real-time implantation of a face recognition method

2001 ◽  
Vol 40 (4) ◽  
pp. 586 ◽  
Author(s):  
J. P. Zimmer
Keyword(s):  
Face Recognition ◽  
Access Control ◽  
Real Time ◽  
Recognition Method

scholarly journals Face Recognition Using Livenessnet

2021 ◽  
pp. 143-148
Author(s):  
Shajahan K ◽  
Rathish Rai D ◽  
Ravishankara
Keyword(s):  
Neural Networks ◽  
Face Recognition ◽  
Access Control ◽  
Smart Card ◽  
Deep Neural Networks ◽  
Digital Technologies ◽  
Recognition Method ◽  
Public Places ◽  
The Face ◽  
Face Spoofing

Every person's face is unique, although have the same structure such as noise, eyes, lips, etc. but it can vary strikingly. It’s within this variance which lies in the distinguishing characteristics that can be used to identify one person from another. Face recognition is a popular concept which is commonly used in surveillance cameras at public places for security purposes. With the advancement of digital technologies, the demand for security to provide access control is increasing. It uses various methods of authentication to keep all details secure, such as a system focused on encrypted user name & password, smart card, biometrics, etc. The “Face Recognition using DNN with LivenessNet” presents a face recognition method based on deep neural networks for liveness. Any algorithm is considered to be efficient only if it is robust and accurate. It provides accurate results with face spoofing quickly and efficiently. The main advantage of using this technique is identifying the uniqueness in the datasets by capturing the real-time face data through different modes & jitter. It provides accurate face recognition model which can be used for safety and security purpose.

The Search for the Best Real- Time Face Recognition Method for Finding Potential COVID Patients

2021 ◽  
Author(s):  
Kevin ◽  
Eugene Reginald Patrick ◽  
Samuel Wijaya ◽  
Edy Irwansyah
Keyword(s):  
Face Recognition ◽  
Real Time ◽  
Recognition Method
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