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:
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.
ICIAR - International Conference on Image Analysis and Recognition
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