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 …

The performance of a biometric system that relies on a single biometric modality (eg,
fingerprints only) is often stymied by various factors such as poor data quality or limited …

Multimodal biometric systems have been widely applied in many real-world applications due
to its ability to deal with a number of significant limitations of unimodal biometric systems …

Biometric recognition, or simply biometrics, refers to the use of distinctive anatomical and/or
behavioral characteristics or identifiers (eg, fingerprints, face, iris, voice, and hand geometry) …

A biometric system is vulnerable to a variety of attacks aimed at undermining the integrity of
the authentication process. These attacks are intended to either circumvent the security …

Establishing identity is becoming critical in our vastly interconnected society. Questions such
as" Is she really who she claims to be?,"" Is this person authorized to use this facility?," or" Is …

This paper describes the world's largest gait database-the “OU-ISIR Gait Database, Large
Population Dataset”-and its application to a statistically reliable performance evaluation of …

We present a real-time liveness detection approach against photograph spoofing in face
recognition, by recognizing spontaneous eyeblinks, which is a non-intrusive manner. The …

Latent fingerprints are one of the most important and widely used evidence in law
enforcement and forensic agencies worldwide. Yet, NIST evaluations show that the …

Palmprint is a unique and reliable biometric characteristic with high usability. With the
increasing demand of highly accurate and robust palmprint authentication system …