Generative 3D face models are a powerful tool in computer vision. They provide pose and
illumination invariance by modeling the space of 3D faces and the imaging process. The …

The concept of multimodal biometrics is gaining importance to realise reliable, accurate and
robust authentication systems. In multimodal biometrics, information fusion can be done at …

The accuracy of non-rigid 3D face recognition approaches is highly influenced by their
capacity to differentiate between the deformations caused by facial expressions from the …

As is well known, traditional 2D face recognition based on optical (intensity or color) images
faces many challenges, such as illumination, expression, and pose variation. In fact, the …

A statistical analysis of shapes of facial surfaces can play an important role in biometric
authentication and other face-related applications. The main difficulty in developing such an …

We take advantage of the temporal continuity in an iris video to improve matching
performance using signal-level fusion. From multiple frames of a frontal iris video, we create …

Résumé La biométrie se réfère à la reconnaissance automatique des individus basée sur
leurs caractéristiques physiologiques et/ou comportementales. Les systèmes biométriques …

Traditional hand geometry based personal verification systems offer limited performance
and therefore suitable only for small scale applications. This paper investigates a new …

Biometric systems for today's high security applications must meet stringent performance
requirements. The fusion of multiple biometrics helps to minimize the system error rates …

Conventional multimodal biometric identification systems tend to have larger memory
footprint, slower processing speeds and a higher implementation and operational cost. In …