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Conversion of fingerprints captured by a mobile device into a standardized format - image editing
Mucha, Vojtěch ; Říha, Kamil (referee) ; Číka, Petr (advisor)
This bachelor thesis deals with the issue of fingerprint conversion taken by a mobile device into a standardized format. In the present day, mobile devices are used more and more often to acquire biometric data, fingerprints included. Processing and standardization of such data is an essential part of the subsequent biometric analysis. The aim of the work is to design and implement an algorithm which would convert a photo of a finger into a grey scale picture of its fingerprint with distinct papillary lines and subdued valleys. The algorithm is implemented in C++ using OpenCV library and a trained neural network for finger detection from hand image. The achieved results are evaluated according to the algorithms for assessing the quality of fingerprints NFIQ 2 and Innovatrics.
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Biometrical security system
Tříska, Martin ; Kučera, Pavel (referee) ; Macho, Tomáš (advisor)
This bachelor’s thesis deals with coplete design and implementation of access control system.using biometrical data. System is applicable in smaller applications. The first part contains an small introduction to fingerprint acquiring/processing and also describe selection of a communication interface between terminals and host system including possible ways of embedding into devices. The next part is covered in the practical implementation in terms of both hardware and software.
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Fingerprint sensors
Slezák, Jakub ; Frýza, Tomáš (referee) ; Fedra, Petr (advisor)
This bachelor thesis is focused on the possibilities of immediate fingerprinting and the use of these fingerprints to identify people. The content of the thesis is the technological evaluation of contact and contactless fingerprinting. A presentation and execusion of a fingerprint optical scanner with corresponding software is described together with a review of the results.
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Program for Training of Dactyloscopic Experts
Bartoň, Jan ; Drahanský, Martin (referee) ; Lodrová, Dana (advisor)
This work deals with the design project and the creation of user interface of a programme for the training of dactyloscopy experts. The first chapters describe historical and technical evolution of dactyloscopy. Then the work explains the methods and concepts necessary for understanding and elemental orientations in determination of fingerprints. The final chapters present a proposition of possibilities in how to obtain and represent the results in a comprehensible form. The conclusion of the work is dedicated to tests and evaluation of the results.
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Fingerprints Generator
Chaloupka, Radek ; Orság, Filip (referee) ; Drahanský, Martin (advisor)
Algorithms for fingerprints recognition are already known for long time and there is also an effort for their best optimization. This master's thesis is dealing with an opposite approach, where the fingerprints are not being recognized, but are generated on the minutiae position basis. Such algorithm is then free of the minutiae detection from image and enhancements of fingerprints. Results of this work are the synthetic images generated according to few given parameters, especially minutiae.
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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 scanning
Kubiš, Michal ; Dobeš,, Michal (referee) ; Fedra, Petr (advisor)
Fingerprints are the oldest and most used form of biometric identification. A critical step is reliable extract minutiae from the fingerprint images. However fingerprint images are rarely of perfect quality, they may be degraded and corrupted due to natural variations in skin and sensing conditions. Thus, image enhancement techniques are necessary prior to minutiae extraction. This work includes implementation of three techniques for fingerprint image enhancement, minutiae extraction and consturction of fingerprint reading device. Experiments are realized with two sets of fingerprints to evaluate the performance of implemented techniques.
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Biometric Image Data Classifier
Tretter, Zdeněk ; Drahanský, Martin (referee) ; Doležel, Michal (advisor)
The aim of this thesis is to design and implement fingerprint classifier, which classifies the fingerprints based on the scanner used. Reader is presented with existing types of fingerprint scanners and phases of classification. Designed classifier is using a cascade of classifiers, trained using the AdaBoost learning algorithm. The application was implemented in the C++ language using OpenCV library for operational systems GNU/Linux and MS Windows.
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Realization of fingerprint scanner
Kovář, Martin ; Sekora, Jiří (referee) ; Mézl, Martin (advisor)
This master’s thesis deals with the issue of scanning human fingerprints, which is currently very topical and represents the most widespread biometric technology. The theoretical part of the work acquaints the reader with basics of dactyloscopy and biometrics and concerns technologies used for fingerprinting, image preprocessing methods and commercially available contactless optical scanners. The practical part is a realisation of a contactless optical scanner based on a Raspberry Pi minicomputer, implementation of preprocessing algorithms in Python and testing of the device from the perspective of image quality.
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