Facial masks and soft‐biometrics: Leveraging face recognition CNNs for age and gender prediction on mobile ocular images

Facial masks and soft‐biometrics: Leveraging face recognition CNNs for age and gender prediction on mobile ocular images

Abstract We address the use of selfie ocular images captured with smartphones to estimate age and gender. Partial face occlusion has become an issue due to the mandatory use of face masks. Also, the use of mobile devices has exploded, with the pandemic further accelerating the migration to digital s...

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Bibliographic Details
Main Authors: Fernando Alonso‐Fernandez, Kevin Hernandez‐Diaz, Silvia Ramis, Francisco J. Perales, Josef Bigun
Format: Article
Language:English
Published: Wiley 2021-09-01
Series:IET Biometrics
Subjects:
biometrics (access control)
face recognition
image classification
image sensors
learning (artificial intelligence)
mobile computing
Online Access:https://doi.org/10.1049/bme2.12046
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https://doi.org/10.1049/bme2.12046

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