The aim of this course is to develop:
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an understanding of the principles used in biometric systems;
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knowledge of the most important biometric approaches;
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the capability to select a suitable method for a given application context;
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an understanding of the relationships between biometric systems and environmental conditions (e.g. illumination, pose variations etc.) and their impact on performance;
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the capability to assess the security properties of a biometric system.
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Recognition of individuals based on physiological characteristics, such as the face, the iris or fingerprint, and behavioural traits, such as gait, is a promising research domain. Biometric algorithms allow for the recognition of individuals in physical or logical access control systems and thus provide an efficient and convenient alternative to knowledge based or token based security systems The lecture covers the most important mechanisms in today's commercial biometric systems: Face recognition, iris recognition and fingerprint recognition. The course covers sensors, biometric image processing, feature extraction, classification methods and multibiometrics.. Furthermore, evaluation schemes for biometric systems will be discussed. The lecture will also discuss forensic biometrics and biometric template protection as a means for secure storage of biometric information.
Contents
introduction / requirements / properties of a biometric system; fingerprint recognition; face recognition; iris recognition; statistical pattern recognition background; multibiometrics; template protection.
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