Flexible image sensors have attracted increasing attention as new imaging devices owing to
their lightness, softness, and bendability. Since light can measure inside information from …

Several issues related to the vulnerability of fingerprint recognition systems to attacks have
been highlighted in the biometrics literature. One such vulnerability involves the use of …

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) …

Conventional sensing methodologies for smart home are known to be labor-intensive and
complicated for practical deployment. Thus, researchers are resorting to alternative sensing …

Biometrics deals with identification of individuals based on their biological or behavioral
characteristics. Biometrics has lately been receiving attention in popular media, it is widely …

Multimodal biometric systems consolidate the evidence presented by multiple biometric
sources and typically provide better recognition performance compared to systems based on …

User verification systems that use a single biometric indicator often have to contend with
noisy sensor data, restricted degrees of freedom, non-universality of the biometric trait and …

Fingerprints constitute one of the most important categories of physical evidence, and it is
among the few that can be truly individualized. During the last two decades, many new and …

Q obvious disadvantages: tokens may be lost, stolen, forgotten, or misplaced, and a PIN may
be forgotten by a valid user or guessed by an impostor.(Surprisingly, approximately 25% of …

Pattern recognition, image processing and computer vision are closely linked areas which
have seen enormous progress in the last fifty years. Their applications in our daily life …