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Animal Identification Based on Biometric Information
Jančeková, Lucia ; Sakin, Martin (referee) ; Dyk, Tomáš (advisor)
Táto práca sa zaoberá identifikáciou divej zvery, konkrétne diviaka pomocou fotografii nosu. Ide o identifikáciu jednotlivcov a využívajú sa na to ryhy, ktoré sa nachádzajú na vrchnej časti nosu. V rámci tejto práci je navrhnuté a implementované riešenie na extrakciu tejto biometrickej informácii a porovnaním ju s ostatnými už uloženými šablónami. Riešenie je otestované na fotografiách z rovnakého diviaka, ale aj na 49 ďalších individuálnych jedincov.
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Security of Biometric Systems
Lodrová, Dana ; Busch, Christoph (referee) ; Provazník, Ivo (referee) ; Drahanský, Martin (advisor)
Hlavním přínosem této práce jsou dva nové přístupy pro zvýšení bezpečnosti biometrických systémů založených na rozpoznávání podle otisků prstů. První přístup je z oblasti testování živosti a znemožňuje použití různých typů falešných otisků prstů a jiných metod oklamání senzoru v průběhu procesu snímání otisků. Tento patentovaný přístup je založen na změně barvy a šířky papilárních linií vlivem přitlačení prstu na skleněný podklad. Výsledná jednotka pro testování živosti může být integrována do optických senzorů. Druhý přístup je z oblasti standardizace a zvyšuje bezpečnost a interoperabilitu procesů extrakce markantů a porovnání. Pro tyto účely jsem vytvořila metodologii, která stanovuje míry sémantické shody pro extraktory markantů otisků prstů. Markanty nalezené testovanými extraktory jsou porovnávány oproti Ground-Truth markantům získaným pomocí shlukování dat poskytnutých daktyloskopickými experty. Tato navrhovaná metodologie je zahrnuta v navrhovaném dodatku k normě ISO/IEC 29109-2 (Amd. 2 WD4).
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Fingerprint Liveness Recognition
Lodrová, Dana ; Orság, Filip (referee) ; Drahanský, Martin (advisor)
This document deals with presentation of nowadays software and hardware methods used for fingerprint recognition with focus on liveness testing and thereafter it deals with description of my solution. In order to describe results obtained from study of technical literature, we discuss important terminology of biometric systems at first and further main principles of fingerprint sensors used in practice are shown. From overviewed methods of liveness detection we underline one method based on perspiration (researched by BioSAL laboratory) and one spectroscopic method researched by Lumidigm Corporation. The study of liveness testing methods inspired me to creation of new type fingerprint sensor which has built-in livennes testing method based on two characteristic properties of living human tisue. In order to test this sensor, we discuss nowadays sensor deception method. It follows from their analysis, that newly designed sensor should be theoretically resistant to each of them.
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Biometrical Liveness Detection - Mechanical Characteristics
Zaklová, Kateřina ; Mráček, Štěpán (referee) ; Drahanský, Martin (advisor)
Main focus of this thesis is the detection of liveliness of the finger by the means of mechanical methods. Theoretical part of the thesis describes biometric systems, their reliability metrics, various kinds of sensors and methods of liveness detection. Two methods are covered in detail - liveness detection by odor and liveness detection by temperature. The thesis also illustrates implementation of the application for liveness detection by temperature and evaluates range of experiments carried out during the research.
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Emotional Cartography
Rygálová, Monika ; Pfeiffer, Jan (referee) ; Sterec, Pavel (advisor)
The work aims to artistically compile perception of maps as a fact, what let us think about The world - how we know it from the map. I work with data, which I gain by displaying technology – eye tracking, which helps me to record track of moving eyes during watching any kind of picture. The observations will be people from different places such a place of stay etc. Gained data I am going to use as a study, which I will componate to maps and different vizualizations of world, countries etc. "Where i have not ever been before, it does not exist" – is idea of percepting world, wich I also work with on that project. Study will contain all aspect of perceiving maps and systematicly shown world related to the person, his memories to that place, fyzical contact and his impact in his scale person versus a the world.
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Finger vein biometrics
Bělehrádek, Stanislav ; Sekora, Jiří (referee) ; Mézl, Martin (advisor)
This thesis presents basic concepts in the field of biometrics, with a focus on optical methods of finger vein biometrics. The paper also contains additional information including physics and anatomy terms, which are important for understanding presented problems. Part of the thesis is draft of the device used for finger vein biometry and proposal of effective image preprocessing process for biometric purpose. Main part of the thesis contains creation and testing of such device. User interface is created in MATLAB and allows identification and verification of people with record in database. Biometric system is tested on group of 16 individuals. Achieved results are discussed and compared with results of similar devices.
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Biometric System Performance Testing - Hand Geometry Technology
Hrnčiřík, Matej ; Orság, Filip (referee) ; Lodrová, Dana (advisor)
This thesis describes difficulties of testing one of many biometric technologies - hand geometry technology. Several procedures were designed to test this technology. The whole testing process was performed on HandKey II device. One of the objectives was to determine whether the device can be fooled using artificial hands. Next objective was to design and perform tests aimed at identification and verification. Results are processed and evaluated from several aspects.
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Biometric fingerprint liveness detection
Váňa, Tomáš ; Vítek, Martin (referee) ; Smital, Lukáš (advisor)
This master‘s thesis deals with biometric fingerprint liveness detection. The theoretical part of the work describes fingerprint recognition biometric systems, fingerprint liveness detection issues and methods for fingerprint liveness detection. The practical part of the work describes proposed set of discriminant features and preprocessing of fingerprint image. Proposed approach using neural network to detect a liveness. The algorithm is tested on LivDet database comprising real and fake images acquired with tree sensors. Classification performance approximately 93% was obtained.
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