Privacy is an increasingly important concern for modern software systems which handle
personal and sensitive user information. Privacy by design has been established in order to …

The recognizability of facial images extracted from publically available medical scans raises
patient privacy concerns. This study examined how accurately facial images extracted from …

Recent interest and requirement of law enforcement agencies in matching composite
sketches with digital images has instigated research in this important face recognition …

This paper proposes a supervised feature extraction approach that is capable of selecting
distinctive features for the recognition of human gait under clothing and carrying conditions …

In recent years, Finger Textures (FTs) have attracted considerable attention as potential
biometric characteristics. They can provide robust recognition performance as they have …

The handwritten signature is perhaps the most accustomed way for the acknowledgement of
the consent of an individual or the authentication of the identity of a person in numerous …

With a rapid growth in smartphone technology, there is a need to provide secured access to
critical data using personal authentication. Existing access mechanisms such as pin and …

In this work, we present a context-aware ensemble fusion framework based on soft-biometric
features, for long term person re-identification (Re-ID) in wild surveillance scenarios. The …

Las cuotas de género en la política y en los consejos de administración de las empresas
presentan diferencias importantes en España respecto al grado de coerción, el periodo de …

The main aim of this paper is to provide multilevel authentication in biometric systems.
Multimodal biometric is the usage of multiple biometric indicators by personal identification …