Local binary patterns (LBP) are one of the most important image representations. However,
LBPs have not been as successful as other methods in palmprint recognition. Originally, the …

We propose a new local descriptor for fingerprint liveness detection. The input image is
analyzed both in the spatial and in the frequency domain, in order to extract information on …

Feature extraction is an important step in image classification. It allows to represent the
content of images as perfectly as possible. However, in this paper, we present a comparison …

Palmprints are private and stable information for biometric recognition. In the deep learning
era, the development of palmprint recognition is limited by the lack of sufficient training data …

With the development of IoT and mobile devices, cross-device palmprint recognition is
becoming an emerging research topic in multimedia for its great application potential. Due to …

Abstract Multi-Person Tracking (MPT) is often addressed within the detection-to-association
paradigm. In such approaches, human detections are first extracted in every frame and …

A local‐based illumination insensitive face recognition algorithm is proposed which is the
combination of image normalisation and illumination invariant descriptors. Illumination …

Research on palmprint recognition has been progressing toward a contactless and
unconstrained direction, where the imaging quality is easily disturbed by various factors …

Palmprint-based biometrics has been widely studied for human recognition. However, for
feature extraction and matching, most of the current systems use a 2-D image, which can be …

Nuclear norm based matrix regression (NMR) approaches have yielded encouraging
recognition results in the presence of image-level noise. However, NMR methods have two …