Implementation of a face recognition system as experimental practices in an artificial intelligence and pattern recognition course

2020 ◽  
Vol 28 (3) ◽  
pp. 497-511
Author(s):  
César Fernández ◽  
María Asunción Vicente ◽  
Miguel O. Martínez‐Rach
Keyword(s):  
Artificial Intelligence ◽  
Pattern Recognition ◽  
Face Recognition ◽  
Recognition System ◽  
Face Recognition System

scholarly journals Orchestration of containers of microservice architecture in face recognition system

2020 ◽  
pp. 108-114
Author(s):  
Andrey Filipiev ◽  
Tatyana Makhalkina ◽  
Dmitry Dmitriev
Keyword(s):  
Pattern Recognition ◽  
Face Recognition ◽  
Recognition System ◽  
Load Management ◽  
Face Recognition System ◽  
Microservice Architecture ◽  
Physical Boundary

This paper solved the problem of applying the technology of containers orchestration in solving one of the problems of pattern recognition, namely face recognition. Due to the fact that face recognition technology has grown to such a level that it can be used for commercial purposes, many companies are beginning to actively implement such solutions. The use of microservice architecture allowed independent deployment and scaling of each service, as well as a clear physical boundary between the services. Containerization and orchestration technologies were used to create a more secure application, facilitate deployment, improve scalability and load management.

scholarly journals Classes of Unique Face and Its Classification

2013 ◽  
Vol 7 (1) ◽  
pp. 968-973
Author(s):  
Raghavendra Kulkarni ◽  
Dr. P. Nageswar Rao
Keyword(s):  
Machine Learning ◽  
Neural Networks ◽  
Pattern Recognition ◽  
Face Recognition ◽  
Law Enforcement ◽  
Recognition System ◽  
Singular Value ◽  
Control Information ◽  
Face Recognition System ◽  
Number Of Faces

Near resembling faces ,Look alike faces, disguised faces and many more are todays challenges for researchers in the field of face recognition and these challenges become more serious in case of large facial Variations. Humans are able to identify reliably a large number of faces but a automated face recognition system must be face specific, it should effectively use features that discriminate a face from others by preferably amplifying distinctive characteristics of face. Face recognition has drawn wide attention from researchers in areas of machine learning, computer vision, pattern recognition, neural networks, access control, information security, law enforcement and surveillance, smart cards etc. This paper shows that how the unique face which is having a unique singular value per face under different variations is effectively classified and recognized.

scholarly journals Design of face recognition system based on CNN

2020 ◽  
Vol 1601 ◽  
pp. 052011
Author(s):  
Yong Li ◽  
Zhe Wang ◽  
Yang Li ◽  
Xu Zhao ◽  
Hanwen Huang
Keyword(s):  
Face Recognition ◽  
Recognition System ◽  
Face Recognition System
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