Title
A-DeepPixBis: Attentional Angular Margin for Face Anti-Spoofing
Abstract
Face Anti Spoofing (FAS) systems are used to identify malicious spoofing attempts targeting face recognition systems using mediums such as video replay or printed papers. With increasing adoption of face recognition technology as a biometric authentication method, FAS techniques are gaining in importance. From a learning perspective, such systems pose a binary classification task. When implemented with Neural Network based solutions, it is common to use the binary cross entropy (BCE) function as the loss to optimize. In this study, we propose a variant of BCE that enforces a margin in angular space and incorporate it in training the DeepPixBis model [1]. In addition, we also present a method to incorporate such a loss for attentive pixel wise supervision applicable in a fully convolutional setting. Our proposed approach achieves competitive scores in both intra and inter-dataset testing on multiple benchmark datasets, consistently outperforming vanilla DeepPixBis. Interestingly, in the case of Protocol 4 of OULU-NPU, considered to be the hardest protocol, our proposed method achieves 5.22% ACER, which is only 0.22% higher than the current State of the Art without requiring any expensive Neural Architecture Search.
Year
DOI
Venue
2020
10.1109/DICTA51227.2020.9363382
2020 Digital Image Computing: Techniques and Applications (DICTA)
Keywords
DocType
ISBN
Face Anti Spoofing systems,malicious spoofing attempts,face recognition systems,video replay,face recognition technology,biometric authentication method,FAS techniques,learning perspective,binary classification task,Neural Network based solutions,binary cross entropy function,angular space,DeepPixBis model,inter-dataset testing,vanilla DeepPixBis,attentional angular margin,face anti-spoofing,attentive pixel wise supervision
Conference
978-1-7281-9109-6
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Md. Sourave Hossain100.34
Labiba Rupty200.34
Koushik Roy300.34
Md. Hasan400.34
Shirshajit Sengupta500.34
Nabeel Mohammed600.34