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Palm liveness detection and identification
Kala, Adam ; Goldmann, Tomáš (referee) ; Sakin, Martin (advisor)
This bachelor's thesis is focused on the detection of liveness of the human hand and its identification from multispectral images. The main goal of the work is the recognition of a living hand and its forgeries based on the information we have obtained, the finding of minutiae for palm identification and their use. The work describes techniques for cropping the area of interest, extracting characteristic features from the palm, and subsequent detection of liveness and identification of the person. Liveness detection success reached over 90% and person identification with a False Acceptance Rate (FAR) of less than 2% for selected datasets.
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Liveness Detection on Fingers Using Vein Pattern
Dohnálek, Tomáš ; Váňa, Jan (referee) ; Drahanský, Martin (advisor)
Tato práce se zabývá rozšířením snímače otisků prstů Touchless Biometric Systems 3D-Enroll o jednotku detekce živosti prstu na základě žil. Bylo navrhnuto a zkonstruováno hardwarové řešení s využitím infračervených diod. Navržené softwarové řešení pracuje ve dvou různých režimech: detekce živosti na základě texturních příznaků a verifikace uživatelů na základě porovnávání žilních vzorů. Datový soubor obsahující přes 1100 snímků jak živých prstů tak jejich falsifikátů vznikl jako součást této práce a výkonnost obou zmíněných režimů byla vyhodnocena na tomto datovém souboru. Na závěr byly navrhnuty materiály vhodné k výrobě falsifikátů otisků prstů umožňující oklamání detekce živosti pomocí žilních vzorů.
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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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3D Fingerprint Model Creation
Pavlík, David ; Váňa, Jan (referee) ; Dluhoš, Ondřej (advisor)
This bachelor thesis deals with acquiring fingerpints, basics of processing fingerprints at biometric systems and 3D model creation techniques. Main aim of this thesis is graphical application that uses fingerprint acquired with 2D fingerprint scanner and then creates 3D model of it. Application does not take curvature of finger into consideration but tries to reproduce height of papillary ridges. It's code is written in C++ with use of cross-platform user interface framework Qt. Besides 3D model creation it allows user to choose accuracy of this model and to export it in two different file formats. Possible use of this application is on the field of fingerprint liveness detection based on sweat pores. Application was tested on 50 real fingerprints and also on two different types of artifical fingerprints.
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Liveness Detection on Finger Using Various Light Sources
Vančo, Petr ; Kanich, Ondřej (referee) ; Drahanský, Martin (advisor)
The purpose of this work was to increase quality, security and reliability in biometric systems. This work presents electric and optical characteristics of a human finger. In the first part of this work you can find a theoretical basis about biometric systems, a skin and light. The next part is devoted to electric characteristics of a human finger. The third part of this work describes design, implementation and results of testing optical characteristics of a finger. In the end you can find information about some of the improvements for the future.
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Liveness Detection on Touchless Fingerprint Scanner
Fořtová, Kateřina ; Kanich, Ondřej (referee) ; Heidari, Mona (advisor)
This Bachelor's Thesis is focused on liveness detection of fingerprints with using touchless sensor. Work summarizes theoretical introduction to biometrics, fingerprint processing and some of present researches for liveness detection. The new approach is introduced with using Local Binary Pattern algorithm, Sobel and Laplacian operator and Wavelet transform. Artificial Neural Networks, Support Vector Machines and Decision Trees were used for final classification. Several experiments with dataset illuminated by lights with various wavelengths were realized. It was discovered, that fingerprints illuminated by red light reached the best accuracy 90.1% compared to other considered wavelenghts of visible light. The classification with vector based on Local Binary Pattern achieved average accuracy 89.8%, accuracy with vector based on Sobel and Laplacian operator was 91.5%. Several Wavelet families were used for Wavelet transform during experiments. The best accuracy achieved wavelets of Biorthogonal spline wavelet family (85.1%) and wavelets from Reverse biorthogonal spline wavelet family (86.6%).
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Biometric Liveness Detection for the Fingerprint Recognition Technology
Brabec, Lukáš ; Váňa, Jan (referee) ; Drahanský, Martin (advisor)
This work focuses on liveness detection for the fingerprint recognition technology. The first part of this thesis describes biometrics, biometric systems, liveness detection and the method for liveness detection is proposed, which is based on spectroscopic characteristics of human skin. The second part describes and summarizes performed experiments. In the end, the results are discussed and further improvements are proposed.
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Detection of Papillary Line Width by Fingerprints
Homola, Antonín ; Drahanský, Martin (referee) ; Lodrová, Dana (advisor)
This work outlines a method of detection of the papillary line width in fingerprints. This method is one of the possible methods of liveness detection. The first part of the work with deals defining of the fingerprint, attacks on today's systems and possibilities to improve security. The next section detection describes of the papillary line width. During the process of resolving, the first thing to do was to start operation of the scanning device and to read the database for tests and experiments. An independent application was created on this purpose. Further, there were projected methods for detection and measuring of the papillary line width. Use of the Canny edge detector with the Sobel operator and the Gaussian filter proved the best. Then, there is described implementation of individual methods. The next part of the work describes and assesses the results of the tests. The last chapter summarizes the work and proposes further possibilities of development.
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