Finger vein based biometric recognition has increasingly generated interest amongst
biometric researchers because of the accuracy, robustness and anti-spoofing propertie …

It has been found that poor quality images decrease the performance of finger vein
recognition system, due to missing, vague or spurious features. Therefore, it is important for …

This paper proposes a data driven model to predict the performance of a face recognition
system based on image quality features. We model the relationship between image quality …

In this paper, we propose a method to utilize low-frequency brain signals for continuous
authentication of users. During such monitoring, the users to be authenticated can work …

Log traceability in the timber based industries is a basic requirement to fulfil economical,
social and legal requirements. This work introduces biometric log recognition using digital …

This paper presents a simulation study for a fusion or combiner algorithm for an ensemble
classifier, which facilitates multi-modal biometric user authentication. The study employs the …

In order to guarantee better user-friendliness and higher accuracy, beyond the existing
traditional single-factor biometric systems, the multimodal ones appear to be more …

To recognize people in unconstrained video, one has to explore the identity information in
multiple frames and the accompanying dynamic signature. These identity cues include face …

Local Graph Structure (LGS) and its variation Symmetric Local Graph Structure (SLGS) have
been proven to be effective for image recognition. However, they have shortcomings without …

Finger vein identification is a new biometric identification technology. While many existing
works approach the problem by using shape matching which is the generative method, in …