Information systems in organizations traditionally require users to remember their secret pins
or (passwords), token, card number, or both to confirm their identities. However, the …

Palm veins have become a research hotspot of biometric recognition due to their own
advantages of universality, uniqueness, collectability and stability. This paper proposes a …

Low-quality palmprint images will degrade the recognition performance, when they are
captured under the open, unconstraint, and low-illumination conditions. Moreover, the …

In this paper, a Robust Double Relaxed Regression (RDRR) is proposed for image
classification. The core idea of RDRR is to alleviate the contradiction between the increase …

Linear representation based methods have been extensively applied in image recognition,
especially for those with noise, illumination changes, and occlusions. However, most …

Recent researches have shown that the texture descriptor local tri‐directional patterns
(LTriDP) performs well in many recognition tasks. However, LTriDP cannot effectively …

Robustness enhancement and feature selection are the two crucial issues to be resolved in
robust palmprint recognition. However, existing regression-based methods are insufficient to …

Since hand-print recognition, ie, palmprint, finger-knuckle-print (FKP), and hand-vein, have
significant superiority in user convenience and hygiene, it has attracted greater enthusiasm …

Local image descriptor learning has been instrumental in various computer vision tasks.
Recent innovations lie with similarity measurement of descriptor vectors with metric learning …

Dictionary-based classification has been promising in knowledge discovery from image
data, due to its good performance and interpretable theoretical system. Dictionary learning …