Aiming at the poor performance of individual classifier in the field of fault recognition, in this
paper, a new ensemble classifier is constructed to improve the classification accuracy by …

To avoid counter-intuitive result of classical Dempster's combination rule when dealing with
highly conflict information, many improved combination methods have been developed …

This work proposes a novel system for off-line handwritten signature verification. A new
descriptor founded on a quad-tree structure of the Histogram Of Templates (HOT) is …

The widespread availability of hand-held devices like tablets, phablets and smart phones,
along with their new handwriting digitizing and their increased computing powers, enable …

Currently, writer's soft-biometrics prediction is gaining an important role in various domains
related to forensics and anonymous writing identification. The purpose of this work is to …

In this paper, we propose an efficient multiple classifier system for Arabic handwritten words
recognition. First, we use Chebyshev moments (CM) enhanced with some Statistical and …

With the advancement in technology, the society demands a robust method for person
authentication. Traditional authentication methods are based on the person's knowledge …

In the hazard assessment of landslide dams, the decision makers (DMs) are inclined to
express some qualitative indicators such as the possible economic loss and the …

Recent developments in depth sensing technology such as Leap Motion have opened novel
directions in Human-Computer-Interaction (HCI) research domain. The sensor extends the …

Abstract Dynamic Ensemble Selection (DES) strategy is one of the most common and
effective techniques in machine learning to deal with classification problems. DES systems …