Liveness detection in biometric systems has become an integral part of system viability, but it has innate disadvantages concerning implementation, situational suitability and acceptance. This article looks at the potential for combining liveness detection techniques with autonomous concepts to minimize, negate or even improve the original system. This is done by considering two potential areas within the autonomous system purview, autonomous architectures and the human nervous system paradigm. Within each there are a number of areas that could accept liveness detection incorporation and potentially improve each applicable subsystem. This article will cover an introduction into these topics and a discussion about their suitability.
|Title of host publication||Intelligent Systems for Science and Information|
|Editors||Liming Chen, Supriya Kapoor, Rahul Bhatia|
|Publisher||Springer International Publishing|
|Number of pages||442|
|Publication status||Published - 2014|
|Name||Studies in Computational Intelligence|
Matthew, P., & Anderson, M. (2014). Novel Approaches to Developing Multimodal Biometric Systems with Autonomic Liveness Detection. In L. Chen, S. Kapoor, & R. Bhatia (Eds.), Intelligent Systems for Science and Information (Vol. 542, pp. 121-138). (Studies in Computational Intelligence). Springer International Publishing.