RETRACTED: A deep facial recognition system using computational intelligent algorithms.

ABSTRACT: The development of biometric applications, such as facial recognition (FR), has recently become important in smart cities. Many scientists and engineers around the world have focused on establishing increasingly robust and accurate algorithms and methods for these types of systems and their applications in everyday life. FR is developing technology with multiple real-time applications. The goal of this paper is to develop a complete FR system using transfer learning in fog computing and cloud computing. The developed system uses deep convolutional neural networks (DCNN) because of the dominant representation; there are some conditions including occlusions, expressions, illuminations, and pose, which can affect the deep FR performance. DCNN is used to extract relevant facial features. These

SUBMITTER: Salama AbdELminaam D 

PROVIDER: S-EPMC7714107 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature