Biometric recognition refers to the automated recognition of individuals based on their
biological and behavioral characteristics such as fingerprint, face, iris, and voice. The first …

There have been research activities in the area of keystroke dynamics biometrics on
physical keyboards (desktop computers or conventional mobile phones) undertaken in the …

In this paper, we propose WifiU, which uses commercial WiFi devices to capture fine-grained
gait patterns to recognize humans. The intuition is that due to the differences in gaits of …

In this chapter, we give an overview of spoofing attacks and spoofing countermeasures for
face recognition systems, with a focus on visual spectrum systems (VIS) in 2D and 3D, as …

The increasing demand for traveler clearance at international border crossing points (BCPs)
has motivated research for finding more efficient solutions. Automated border control (ABC) …

Biometrics is commonly used in many automated verification systems offering several
advantages over traditional verification methods. Since biometric features are associated …

Smartphone-based biometrics offers a wide range of possible solutions, which could be
used to authenticate users and thus to provide an extra level of security and theft prevention …

This paper proposes a novel framework for the use of eye movement patterns for biometric
applications. Eye movements contain abundant information about cognitive brain functions …

Iris recognition is a very reliable biometric modality for human identification. The immutable
and unique characteristics of the iris are the foundations for that claim. Currently, research …

Multimodal biometrics technology consolidates information obtained from multiple sources
at sensor level, feature level, match score level, and decision level. It is used to increase …