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| Title: | Fundamentals of Biometric-Based Training System Design | |
| Source: | IMAGE PATTERN RECOGNITION Synthesis and Analysis in Biometrics (pp 365-406) |
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| Author(s): | S. N. Yanushkevich
Biometric Technology Laboratory, Modeling and Simulation, University of Calgary, Canada A. Stoica Humanoid Robotics Laboratory, California Institute of Technology, Pasadena, CA, USA NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA ECSIS - European Center for Secure Information and Systems, Iasi, Romania V. P. Shmerko Biometric Technology Laboratory, Modeling and Simulation, University of Calgary, Canada |
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| Abstract: | This chapter describes the fundamental concepts of biometric-based training system design and training methodology for users of biometric-based access control systems. Such systems utilizes the information provided by various measurements of an individual's biometrics. The goal of training is to develop the user's decision making skills based on two types of information about the individual: biometric information collected during pre-screening or surveillance, and information collected during the authorization check itself. The training system directly benefits users of security systems covering a broad spectrum of social activities, including airport and seaport surveillance and control, immigration service, border control, important public events, hospitals, banking, etc. | |
| Full Text: | View full text in PDF format (539KB) | |
| TOC: | Back to Table of Contents | |
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