Hybrid face recognition under adverse conditions using appearance‐based and dynamic features of smile expression

Hybrid face recognition under adverse conditions using appearance‐based and dynamic features of smile expression

Abstract Although recent deep‐learning‐based face recognition methods give remarkable accuracies on large databases, their performance has been shown to degrade under adverse conditions (e.g. severe illumination and contrast variations; blur and noise). Under such conditions, soft‐biometric features...

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Bibliographic Details
Main Authors: Murat Taskiran, Nihan Kahraman, Cigdem Eroglu Erdem
Format: Article
Language:English
Published: Hindawi-IET 2021-01-01
Series:IET Biometrics
Subjects:
biometrics (access control)
face recognition
feature extraction
learning (artificial intelligence)
neural nets
Online Access:https://doi.org/10.1049/bme2.12006

Internet

https://doi.org/10.1049/bme2.12006

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