Touchless fingerprint recognition represents a rapidly growing field of research which has
been studied for more than a decade. Through a touchless acquisition process, many issues …

Event detection is a challenging stage in eye movement data analysis. A major drawback of
current event detection methods is that parameters have to be adjusted based on eye …

The use of EEG biometrics, for the purpose of automatic people recognition, has received
increasing attention in the recent years. Most of the current analyses rely on the extraction of …

Traditional biometric recognition systems rely on a single biometric signature for
authentication. While the advantage of using multiple sources of information for establishing …

Biometrics is a set of advanced technologies that use the physical or behavioral
characteristics of individuals to provide reliable access control. With the rapid development …

As face recognition applications progress from constrained sensing and cooperative
subjects scenarios (eg, driver's license and passport photos) to unconstrained scenarios …

Multibiometric systems fuse information from different sources to compensate for the
limitations in performance of individual matchers. We propose a framework for optimal …

Development and comparison of the latent fingerprints (LFPs) are two major studies in
detection and identification of LFPs, respectively. However, integrated research studies on …

Biometric based personal authentication is an effective method for automatically
recognizing, with a high confidence, a person's identity. By observing that the texture pattern …

The term periocular refers to the facial region in the immediate vicinity of the eye. Acquisition
of the periocular biometric is expected to require less subject cooperation while permitting a …