Multimodal Biometrics Recognition Using a Deep Convolutional Neural Network with Transfer Learning in Surveillance Videos

Multimodal Biometrics Recognition Using a Deep Convolutional Neural Network with Transfer Learning in Surveillance Videos

Biometric recognition is a critical task in security control systems. Although the face has long been widely accepted as a practical biometric for human recognition, it can be easily stolen and imitated. Moreover, in video surveillance, it is a challenge to obtain reliable facial information from an...

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Bibliographic Details
Main Authors: Hsu Mon Lei Aung, Charnchai Pluempitiwiriyawej, Kazuhiko Hamamoto, Somkiat Wangsiripitak
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Computation
Subjects:
multimodal biometrics
human recognition
deep CNNs
transfer learning
Online Access:https://www.mdpi.com/2079-3197/10/7/127

Internet

https://www.mdpi.com/2079-3197/10/7/127

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