Object detection and recognition are important problems in computer vision. Since these
problems are meta-heuristic, despite a lot of research, practically usable, intelligent, real …

This paper proposes a novel technique to analyze the infrared vein patterns in the back of
the hand for biometric purposes. The technique utilizes the minutiae features extracted from …

This paper investigates two infrared imaging technologies, far-infrared thermography and
near-infrared imaging, to acquire hand vein pattern images for biometric purposes. The …

A novel non-invasive imaging technique to image the vein patterns in various parts of the
hand for biometric purposes is evaluated. Two imaging methods are investigated: far …

Many biometrics, such as face, fingerprint and iris images, have been studied extensively for
personal verification purposes in the past few decades. However, verification using vein …

We present a rigorous but transparent semantics definition of SystemC that covers method,
thread, and clocked thread behavior as well as their interaction with the simulation kernel …

Many biometric systems, such as face, fingerprint and iris have been studied extensively for
personal verification and identification purposes. Biometric identification with vein patterns is …

In the information fusion domain, mining regular behaviors is very important to task
classification, anomaly behavior detection, situation assessment and threat estimation …

Given the large volume of georeferenced information generated and stored by many types of
devices, the study and improvement of techniques capable of operating with these data is an …

Technological progress facilitates recording and collecting information on vehicles' GPS
trajectories on public roads. The intelligent analysis of this data leads to the identification of …