RT Journal Article
A1 J. Määttä
A1 A. Hadid
A1 M. Pietikäinen

PB iet
T1 Face spoofing detection from single images using texture and local shape analysis
JN IET Biometrics
VO 1
IS 1
SP 3
OP 10
AB Current face biometric systems are vulnerable to spoofing attacks. A spoofing attack occurs when a person tries to masquerade as someone else by falsifying data and thereby gaining illegitimate access. Inspired by image quality assessment, characterisation of printing artefacts and differences in light reflection, the authors propose to approach the problem of spoofing detection from texture analysis point of view. Indeed, face prints usually contain printing quality defects that can be well detected using texture and local shape features. Hence, the authors present a novel approach based on analysing facial image for detecting whether there is a live person in front of the camera or a face print. The proposed approach analyses the texture and gradient structures of the facial images using a set of low-level feature descriptors, fast linear classification scheme and score level fusion. Compared to many previous works, the authors proposed approach is robust and does not require user-cooperation. In addition, the texture features that are used for spoofing detection can also be used for face recognition. This provides a unique feature space for coupling spoofing detection and face recognition. Extensive experimental analysis on three publicly available databases showed excellent results compared to existing works.
K1 image quality assessment
K1 score level fusion
K1 face spoofing detection
K1 texture analysis
K1 local shape analysis
K1 light reflection
K1 facial image analysis
K1 fast linear classification scheme
K1 low-level feature descriptors
K1 face biometric systems
K1 spoofing attacks
K1 printing quality defects
K1 printing artefact characterisation
DO https://doi.org/10.1049/iet-bmt.2011.0009
UL https://digital-library.theiet.org/;jsessionid=17f4b3dn9mhwb.x-iet-live-01content/journals/10.1049/iet-bmt.2011.0009
LA English
SN 2047-4938
YR 2012
OL EN