In recent years, periocular recognition has been developed as a valuable biometric
identification approach, especially in wild environments (for example, masked faces due to …

Face and voice are two of the most popular traits used for authentication tasks in daily life, as
they can be easily captured using low-cost visual and audio sensors on smartphones …

Similarity preserving is a key ingredient of cancellable biometric scheme design. The notion
ensures the accuracy performance of the biometric systems can be preserved after the …

Contemporary face recognition systems use feature templates extracted from face images to
identify persons. To enhance privacy, face template protection techniques are widely …

This paper proposes PolyProtect, a method for protecting the sensitive face embeddings that
are used to represent people's faces in neural-network-based face verification systems …

In this paper, we propose a data-driven cancellable biometrics scheme, referred to as
SoftmaxOut Transformation-Permutation Network (SOTPN). The SOTPN is a neural version …

Convolutional neural networks have made remarkable progress in the face recognition field.
The more the technology of face recognition advances, the greater discriminative features …

Biometric cryptosystems present a promising avenue for secure authentication; however, the
efficiency and security of such systems can be hindered by errors in biometric data. To …

As automated face recognition applications tend towards ubiquity, there is a growing need to
secure the sensitive face data used within these systems. This paper presents a survey of …

In this paper, we present a hashing function for the application of face template protection,
which improves the correctness of existing algorithms while maintaining the security …