Visual image biometric identification in secure urban computing

Abstract

In this publication will be proposed a new technique of personal identification based on non-standard biometric patterns in the form of selected medical visualization. The proposed solutions will be illustrated on the example of using intelligent CPIAIS cognitive information systems for extraction an unique personal feature vector which next will be used for personal identity analysis. Such procedure will allow to support the identification processes based on several types of biometrics patterns, as well as using feature vector in cryptographic procedures. While image analysis a cognitive procedures will be based on hand layouts parameters, evaluated for particular persons during medical examination. © 2012 Springer-Verlag.