Adaptive Spatial Transformation Networks for Periocular Recognition
Periocular recognition has emerged as a particularly valuable biometric identification method in challenging scenarios, such as partially occluded faces due to COVID-19 protective masks masks, in which face recognition might not be applicable. This work presents a periocular recognition framework ba...
Main Authors: | Diana Laura Borza, Ehsan Yaghoubi, Simone Frintrop, Hugo Proença |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/5/2456 |
Similar Items
-
A Short Survey on Machine Learning Explainability: An Application to Periocular Recognition
by: João Brito, et al.
Published: (2021-08-01) -
Selfie Periocular Verification Using an Efficient Super-Resolution Approach
by: Juan E. Tapia, et al.
Published: (2022-01-01) -
Convolutional Neural Network-Based Periocular Recognition in Surveillance Environments
by: Min Cheol Kim, et al.
Published: (2018-01-01) -
Person Identification and Gender Classification Based on Vision Transformers for Periocular Images
by: Vasu Krishna Suravarapu, et al.
Published: (2023-02-01) -
Near-Infrared Image-Based Periocular Biometric Method Using Convolutional Neural Network
by: Hyeonsang Hwang, et al.
Published: (2020-01-01)