Recent Advances in Multimodal Biometric Systems
Biometric recognition or, simply, biometrics refers to the automatic recognition
of individuals based on their physiological and/or behavioral characteristics. By
using biometrics, it is possible to confirm or establish an individual's identity
based on who she is, rather than by what she possesses (e.g., an ID card) or what
she remembers (e.g., a password).
In addition to its extensive use in forensic sciences, biometric systems are rapidly
being adopted in a wide variety of security applications such as ambient intelligence,
electronic and physical access control, digital rights management, background checking
and defense.
Although automatic security systems for identification have established themselves as
a very important research area primarily due to the pronounced need for more reliable
and secure authentication architectures in several civilian and commercial applications,
biometric techniques have not been adequately addressed by the research community. For
example multimodal biometric system are relatively mature and have drawn considerable
attention over the last 5 years, both from a research and a development point of view.
Undoubtedly, the simultaneous use of several biometrics and a 3D image analysis instead
of 2-D can both improve the accuracy of an identification system authentication overcoming
some of the limitations of the traditional automatic personal identification technologies,
but still new algorithms and solutions are required.
This special ssession aims to focus on emerging biometric methods for multimodal systems
comprehensively covering theoretical/practical aspects and also serves as a comprehensive
record of recent advances in the field.
We invite original contributions that provide novel solutions to challenging problems.
Submitted papers can address theoretical or practical aspects of the progress and
directions in biometrics research. Topics of interest include, but are not limited to:
- Biometric systems based on 3D information
- Biometric Modalities:
- Emerging: ear, teeth, ground reaction force, ECG, retina, skin, DNA
- Traditional: face, fingerprint, speech, signature
- Fusion schemes
- Multimodal biometric systems
- Quality measure of biometrics data, Performance Metrics, Statistical Confidence Measures
- Temporal interclass and intraclass variability in biometric features
Special Session Organizers/Chairs
Authors are invited to submit full papers showing original research
contributions. The conference proceedings will be published in the Springer
Lecture Notes in Computer Science series (Springer LNCS). Prospective
authors should submit an electronic copy of their complete manuscript
through the ICIAR 2008 submission system
by January 11, 2008, and select the special session title from the topic list.
All submitted papers will be reviewed by at least two independent reviewers.