Recently, Farash et al. pointed out some security weaknesses of Turkanović et al.’s protocol,
which they extended to enhance its security. However, we found some problems with …

Due to the benefits of palmprint recognition and the advantages of biometric fusion systems,
it is necessary to study multi-source palmprint fusion systems. Unfortunately, the research …

With the rapid development of flexible vision sensors and visual sensor networks, computer
vision tasks, such as object detection and tracking, are entering a new phase. Accordingly, …

The existing palmprint protection schemes without verification degrading do not strictly meet
non-invertible requirement; while non-invertible palmprint protection schemes do not meet …

Object detection is a significant issue in visual surveillance. Faster region-based convolutional
neural network (R-CNN) is a typical object detection algorithm of deep learning; however, …

Although Discrete Cosine Transform (DCT) is widely employed to extract proper features for
biometric recognition, the problem on how to select proper DCT coefficients to obtain the …

In this paper, an enhanced disentanglement module is proposed to address feature
misalignment caused by inherently irreconcilable conflicts between classification and regression …

Discrimination power analysis (DPA) is a statistical analysis combining discrimination concept
with discrete cosine transform coefficients (DCTCs) properties. Unfortunately there is not a …

Texture coding approach of palmprint biometric enjoys several merits; however, palmprint
texture code suffers from alignment problem during matching, which hinders it from being …

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