Face anti-spoofing countermeasure: Efficient 2D materials classification using polarization imaging
Spoofing is an act to impersonate a valid user of any biometric systems in order to gain access. In a face biometric system, an imposter might use some fake masks that mimic the real user face. Existing countermeasures against spoofing adopt face texture analysis, motion detection and surface re...
Saved in:
Main Authors: | Azim Zaliha, Abd Aziz, Wei, Hong, Ferryman, James |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | http://eprints.unisza.edu.my/787/1/FH03-FIK-18-15467.pdf http://eprints.unisza.edu.my/787/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Polarization imaging for face spoofing detection: identification of black ethnical group
by: Abd Aziz, A.Z., et al.
Published: (2018) -
Voice spoofing countermeasure for voice replay attacks using deep learning
by: Zhou, Jincheng, et al.
Published: (2022) -
On Evaluation of Depth Accuracy in Consumer Depth Sensors
by: Azim Zaliha, Abd Aziz, et al.
Published: (2015) -
IP spoofing defense: An introduction
by: Lee, Soon, et al.
Published: (2009) -
Texture analysis using local ternary pattern for face anti-spoofing
by: Parveen, Sajida, et al.
Published: (2016)