Direct usage of original biometric features/templates definitely leads to serious privacy
leakage. In biometric cryptosystems, a biometric key is generated and then strictly protected …

Palmprint has attracted increasing attention due to its several advantages in the biometrics
field. Deep learning has achieved remarkable performance in the computer vision area, so a …

Palmprint recognition achieves high discrimination for identity verification. Compared with
handcrafted local texture descriptors, convolutional neural networks (CNNs) can …

Palmprint attracts increasing attention thanks to its several advantages. 1st-order textures
have been widely used for palmprint recognition; unfortunately, high-order textures …

Palmprint is a commonly used and significant modality for biometric recognition currently.
The coding-based methods are practical for palmprint recognition because they can be free …

Biometric-based authentication is widely deployed on multimedia systems currently;
however, biometric systems are vulnerable to image-level attacks for impersonation …

Biometric signals can be acquired with different sensors and recognized in secure identity
management systems. However, it is vulnerable to various attacks that compromise the …

As a discriminative biometric modality, palmprint accommodates two attributes of soft
biometrics, namely chirality and gender. Our study reveals that the false matching of a pair of …

Palmprint has been widely used for personal authentication in many applications, such that
the assessment of recognition system security is important. Online attacks of palmprint …

Palmprint is deemed as one of the most important biometric modalities. Many coding-based
palmprint recognition methods have achieved satisfactory recognition performance, which …