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

This chapter explores the possibility of recovering iris images from binary iris templates. It
has been generally assumed that the binary iris code is irreversible, ie, the original iris …

In an influential 2004 essay Giorgio Agamben explains his refusal to travel to the USA and
thereby submit to biometric screening. Biometrics, he argues, are at the vanguard of recent …

Multi-biometric feature-level fusion exploits feature information from more than one biometric
source to improve recognition performance and template security. When ordered and …

We propose a simple and yet effective technique for shape-based ear localization. The idea
is based on using a predefined binary ear template that is matched to ear contours in a …

Studies have revealed that securing Information Systems (IS) from intentional misuse is a
concern among organizations today. The use of Web-based systems has grown dramatically …

A Multi-biometric System amalgamates the evidences collected from the multiple sources or
single source for person recognition based on templates like fingerprint, palm print and iris …

Recent research has sought to improve the resilience of fingerprint verification systems to
spoof attacks by combining match scores with both liveness measures and image quality in …

Several application scenarios require the user to be authenticated not only at the time of
logging in to a device, but continuously, such as a mobile device being used for an extended …

Class imbalance poses serious difficulties to most standard two-class classifiers, when
applied in performing classification in the context of multimodal biometric authentication …