Nadgradnja sistema za verifikacijo na podlagi prstnega odtisa

The aim of this work is to present an upgrade of our existing fingerprint verification system [3]. In the first part we generally describe a functionality of a system and how it works. Later in the text, we focus on description of our system upgrade. It includes various system tests, including an analysis of results, integration of graphical user interface for end-user, and description of an algorithm for fingerprint verification. We made our analysis by performing tests on a set of fingerprints, obtained from eight persons, who will be the first users of our prototype system. The biggest problem in the system are badly captured fingerprints. Such low quality fingerprints result in poor performance of the system. Therefore, we also implemented algorithms for image quality assessment

Data Mining: Lecture notes

This material contents the "handouts" given to students for data mining lecture held at the Department of Health Informatics at the University of Kyoto in July 2010. The informality of the "course", which took five two-hour lectures is reflected in informality of this text, too, as it even includes references to discussions at past lectures and so on. Some more material is available at http://www.ailab.si/janez/kyoto

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