Continuous multi-biometric user authentication fusion of face recognition and keystoke dynamics

2016 ◽  
Author(s):  
Stuti Srivastava ◽  
Prem Sewak Sudhish
Keyword(s):  
Face Recognition ◽  
User Authentication

An Ultra-low-power Mixed-mode Face Recognition Processor for Always-on User Authentication in Mobile Device

2020 ◽  
Vol 20 (6) ◽  
pp. 499-509
Author(s):  
Ji-Hoon Kim ◽  
Changhyeon Kim ◽  
Kwantae Kim ◽  
Juhyoung Lee ◽  
Hoi-Jun Yoo ◽  
...  
Keyword(s):  
Face Recognition ◽  
Low Power ◽  
Mobile Device ◽  
Mixed Mode ◽  
User Authentication ◽  
Ultra Low Power

scholarly journals Human Face Identification based on Optimal Sparse Features

2019 ◽  
Vol 9 (2) ◽  
pp. 690-693
Keyword(s):  
Face Recognition ◽  
Sparse Representation ◽  
User Authentication ◽  
Data Communication ◽  
Security Technology ◽  
Recent Advancement ◽  
Recognition Systems ◽  
Comprehensive Classification ◽  
Sparse Features ◽  
Selection Of

Security of human being is an important aspect in the context of data communication. To maintain security, technology is being developed from alpha-numeric passwords to biometric scanners. Recent advancement in security is the user authentication using face recognition. But the flaws in existing face recognition systems are yet to be addressed. This paper discusses solutions to the issues encountered by face recognition systems. Sparsity based classification is performed in this work. This method can handle errors occurs due to compress in and occlusion in a robust manner. We suggest a comprehensive classification algorithm characterized by sparse representation and 1l -minimization. In this method, the feature points and selection of features are not critical. The effect of change in occlusion can be easily addressed by using this optimal sparse representation based classification (OSRC) algorithm.

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