Representation-based classification methods are all constructed on the basis of the
conventional representation, which first expresses the test sample as a linear combination of …

Multibiometrics can provide higher identification accuracy than single biometrics, so it is
more suitable for some real-world personal identification applications that need high …

This paper employs both two-dimensional (2D) and three-dimensional (3D) features of
palmprint for recognition. While 2D palmprint image contains plenty of texture information …

Score fusion is a very competent fusion approach and weighted score fusion is the most
preferable score fusion approach. To automatically set proper weights is the most important …

This work proposes a novel face recognition method based on Zernike moments (ZMs) and
Hermite kernels (HKs) to cope with variations in facial expression, changes in head pose …

In this paper, we propose a novel cross-spectral matching system for identity verification
based on the palm-vein and the palmprint acquired from the visible (RGB) and the near …

In this paper, we investigate into utilization of images from the visible light (RGB) spectrum
for identity verification based on the palm-veins. This is differentiated from the commonly …

With the advance of deep learning, deep learning based action recognition is an important
research topic in computer vision. The skeleton sequence is often encoded into an image to …

The paper proposes a t-norm-based matching score fusion approach for a multimodal
heterogenous biometric recognition system. Two trait-based multimodal recognition system …

Collaborative representation classification (CRC) is an important sparse method, which is
easy to carry out and uses a linear combination of training samples to represent a test …