Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …

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

Automatic emotion recognition from the analysis of body movement has tremendous
potential to revolutionize virtual reality, robotics, behavior modeling, and biometric identity …

Touchless fingerprint recognition represents a rapidly growing field of research which has
been studied for more than a decade. Through a touchless acquisition process, many issues …

The use of EEG biometrics, for the purpose of automatic people recognition, has received
increasing attention in the recent years. Most of the current analyses rely on the extraction of …

Traditional biometric recognition systems rely on a single biometric signature for
authentication. While the advantage of using multiple sources of information for establishing …

As face recognition applications progress from constrained sensing and cooperative
subjects scenarios (eg, driver's license and passport photos) to unconstrained scenarios …

Multibiometric systems fuse information from different sources to compensate for the
limitations in performance of individual matchers. We propose a framework for optimal …

Multibiometric systems are being increasingly de-ployed in many large-scale biometric
applications (eg, FBI-IAFIS, UIDAI system in India) because they have several advantages …

The purpose of this book is to provide a practical introduction to the th-ries, techniques and
applications of image fusion. The present work has been designed as a textbook for a one …