ADFF: Adaptive de‐morphing factor framework for restoring accomplice's facial image
Abstract Morphing attacks (MAs) pose a substantial security threat to the Automatic Border Control (ABC) system. While a few morphing attack detection (MAD) methods have been proposed, the face morphing accomplice's facial restoration has not received sufficient attention. Due to the inability...
Main Authors: | Min Long, Jun Zhou, Le‐Bing Zhang, Fei Peng, Dengyong Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-02-01
|
Series: | IET Image Processing |
Subjects: | |
Online Access: | https://doi.org/10.1049/ipr2.12962 |
Similar Items
-
FD-GAN: Face De-Morphing Generative Adversarial Network for Restoring Accomplice’s Facial Image
by: Fei Peng, et al.
Published: (2019-01-01) -
A Comprehensive Review of Face Morph Generation and Detection of Fraudulent Identities
by: Muhammad Hamza, et al.
Published: (2022-12-01) -
Detecting Morphing Attacks through Face Geometry Features
by: Stephanie Autherith, et al.
Published: (2020-10-01) -
Computer-graphic facial reconstruction /
by: 417971 Clement, John G., et al.
Published: (2005) -
Facial biometrics of Yorubas of Nigeria using Akinlolu-Raji image-processing algorithm
by: Adelaja Abdulazeez Akinlolu
Published: (2016-01-01)