Multiple classifier combination is a technique that combines the decisions of different
classifiers. Combination can reduce the variance of estimation errors and improve the …

We address in this paper automatic face verification from 3D facial surface and grey level
analysis. 3D acquisition is performed by a structured light system, adapted to face capture …

Multibiometric systems are gaining popularity because they are able to overcome limitations
such as non-universality, noisy sensor data and susceptibility to spoof attacks common in …

Accurate automatic personal identification is critical in a variety of applications in our
electronically interconnected society. Biometrics, which refers to identification based on …

Biometric characteristics can be utilized in order to enable reliable and robust-to-impostor-
attacks person recognition. Speaker recognition technology is commonly utilized in various …

62 September/October 2003 Published by the IEEE Computer Society 0272-
1716/03/$17.00© 2003 IEEE and others. 17, 18 For new conversational interfaces, this area …

This article examines some of the issues in representation of, processing, and automated
agent participation in natural language dialogue, considering expansion from two-party …

As mobile technology grows rapidly, the smartphone has become indispensable for
transmitting private user data, storing the sensitive corporate files, and conducting secure …

The use of hidden Markov models (HMM) for faces is motivated by their partial invariance to
variations in scaling and by the structure of faces. The most significant facial features of a …

Single biometric systems have a variety of problems such as noisy data, non-universality,
spoof attacks and unacceptable error rate. These limitations can be solved by deploying …