Information technology can improve the quality, efficiency, and cost of healthcare. In this
survey, we examine the privacy requirements of mobile computing technologies that have …

Palmprint images contain rich unique features for reliable human identification, which makes
it a very competitive topic in biometric research. A great many different low resolution …

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 …

The widespread deployment of Automated Fingerprint Identification Systems (AFIS) in law
enforcement and border control applications has heightened the need for ensuring that …

Multimodal biometrics based on feature-level fusion is a significant topic in personal
identification research community. In this paper, a new fingerprint-vein based biometric …

Identifying suspects based on impressions of fingers lifted from crime scenes (latent prints) is
a routine procedure that is extremely important to forensics and law enforcement agencies …

Prevailing methods of human identification based on credentials (identification documents
and PIN) are not able to meet the growing demands for stringent security in applications …

Multimodal biometric systems are commonly believed to be more robust to spoofing attacks
than unimodal systems, as they combine information coming from different biometric traits …

Among the available biometric traits such as face, iris and fingerprint, there is an active
research being carried out in the direction of unconstrained biometrics. Periocular …

The main challenge in recognizing faces in video is effectively exploiting the multiple frames
of a face and the accompanying dynamic signature. One prominent method is based on …