Last few years have witnessed an ever-increasing demand of border crossing, whose
processing introduces the need to speed-up the clearance process at the Border Crossing …

In recent years, biometrics template protection has been extensively studied and lots of
schemes have been proposed. However, most of them have not considered the forgery …

Due to its resistance to circumvention, iris has been used as a prime biometric trait in border
crossings and identity related civil projects. However, sensor level spoofing attacks such as …

The paper presents a reading-based eye movement biometrics model. The model is able to
process passages of text and extract metrics that represent the physiological and behavioral …

This thesis studies the challenges of applying the electrocardiogram signal (ECG) as a
biometric. Unlike most biometric characteristics, ECG is time-dependent and naturally …

Due to the limitations that unimodal systems suffer from, Multibiometric systems have gained
much interest in the research community on the grounds that they alleviate most of these …

Traditional online learning for graph node classification adapts graph regularization into
ridge regression, which may not be suitable when data is adversarially generated. To solve …

Face recognition systems based on'conventional'images have reached a significant level of
maturity with some practical successes. However, their performance may degrade under …

In this paper, we have developed an algorithm which combines features from human iris and
face for person verification. Iris recognition is one of the most accurate biometric modalities …

Palm vein recognition is one of the biometric systems that recently explored. The location of
palm-vein that inside the human body, give a special characteristic compare with other …