National Repository of Grey Literature 198 records found  previous11 - 20nextend  jump to record: Search took 0.00 seconds. 
Application for Recognition of Human Eye Retina
Drozd, Radek ; Hájek, Josef (referee) ; Drahanský, Martin (advisor)
The blood vessels layout in a human eye retina is unique for every person in the world, so it is one of important biometric characteristics. Processing of colour retina image may be a part of an intended biometric system. There is an algorithm for automatic blood vessels detection, optic disc and macula localisation, finding of bifurcation points and saving those as a biometric template presented in this bachelor's thesis. C++ programming language and OpenCV library were used for implementation. The application was tested on a set of colour retina images, taken by fundus camera. The final application is supposed to run on a digital signal processor, developed by Texas Instruments. The thesis gives the introduction into biometrics, signal processing and human eye anatomy.
Multi-Camera Scanner of Biometric Features of Human Finger
Trhoň, Adam ; Drahanský, Martin (referee) ; Strnadel, Josef (advisor)
This thesis describes a conceptual design of touchless fingerprint sensor and design, implementation and testing of its firmware, which is a composition of hardware implemented in VHDL and a program implemented in C. Result of this thesis can be used as the first step of building an industrial solution.
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.
Control of Positionable Platform for Eye Centering in Image
Magdolen, Patrik ; Semerád, Lukáš (referee) ; Drahanský, Martin (advisor)
Ophthalmology is a branch of medicine that deals with the anatomy, physiology and diseases of the eyeball and orbit. An ophthalmic device for the acquirement and recognition of a human eye characteristics was created by researchers from Faculty of Information Technology. This device can be used either for biometric purposes or for medical purposes as a support diagnostic device. To achieve proper functionality, device must be able to adjust platform position in order to align optic camera with patient's eye.  The main focus of this thesis is to design and implement an algorithm for eye centre localisation based on images of the patient's face. The first part of this thesis describes general methods for eye localisation and proposed solution. To achieve requested accuracy, combination of multiple methods is used with adjusted parameters based on platform's features. The second part describes implementation of proposed solution as well as platform control. Multiple databases were used for training and testing of the algorithm. The third part summarises performed experiments. The proposed algorithm was implemented in the C++ language, using OpenCV library. Accuracy and speed of proposed algorithm are suitable for developed platform. In the end, the results are discussed and further improvements are proposed.
Access control system using multilevel authentication
Cvrček, Tadeáš ; Člupek, Vlastimil (referee) ; Dzurenda, Petr (advisor)
The master's thesis focuses on authenticated key agreement protocols and their implementation on MultOS smart cards platform and devices running Google Android operating system. Implemented applications use NFC (Near Field Communication) interface for communication with cellphone, Bluetooth technology for communication with smart watch and smart card as SAM (Secure Access Module) module in a verifier role. The source code is universal, so it is possible to use it in other projects.
Extraction of Features from the Palm for Identification of Persons
Pricl, Patrik ; Kanich, Ondřej (referee) ; Sakin, Martin (advisor)
The work deals with the identification of persons using the palm. The specific properties of the skin and blood vessels are used. The response of the skin and blood vessels to electromagnetic radiation is used to capture these properties. Gabor's filter is used to extract skin properties. The LLBP algorithm is used to extract the veins. It uses the Hamming distance, the Euclidean distance and the K-nearest neighbor algorithm to compare properties.
Multifactoral Authentication of Electronic Documents
Gancarčík, Lukáš ; Kodl,, Jindřich (referee) ; Smejkal, Vladimír (advisor)
The aim of the thesis is to provide complete information regarding electronic documents and possibilities of their usage. The focus is concentrated on the area of authentication, which specifies the possibility of obtaining authentication information and describes the authentication processes itself. The diploma thesis also deals with the suggestion of multifactor authentication of electronic documents for the selected company.
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).
Control of Positionable Platform for Eye Centering in Image
Magdolen, Patrik ; Semerád, Lukáš (referee) ; Drahanský, Martin (advisor)
Ophthalmology is the branch of medicine that deals with the anatomy, physiology and diseases of the eyeball and orbit. An ophthalmic device for acquirement and recognition of human eye characteristics was created by researchers from Faculty of Information Technology. This device can be used either for biometric purposes or for medical purposes as a support diagnostic device. To achieve proper functionality, device must be able to adjust platform position in order to align optic camera with patient's eye.  The main focus of this work is to design and implement an algorithm for eye centre localisation based on images of the patient's face. The first part of this thesis describes general methods for eye localisation and proposed solution. To achieve desired accuracy, combination of multiple methods is used with adjusted parameters based on platform's features. The second part describes implementation of proposed solution as well as platform control. Multiple databases were used for training and testing of the algorithm and the third part summarises performed experiments. The proposed algorithm was implemented in the C++ language, using OpenCV library. Accuracy and speed of proposed algorithm are suitable for developed platform. In the end, the results are discussed and further improvements are proposed.
Biometric Recognition of 3D Faces
Mráček, Štěpán ; Drahanský, Martin (referee) ; Dvořák, Radim (advisor)
Diplomová práce byla vypracována na studijním pobytu na "Gjovik University College" v Norsku, a je zpracována v angličtině. Tato práce se zabývá rozpoznáváním 3D obličejů. Je zde popsán obecný biometrický systém a také konkrétní postupy používané při rozpoznávání 2D i 3D obličejů. Následně je navžena metoda pro rozpoznávání 3D obličejů. Algoritmus je vyvíjen a testován pomocí databáze Face Recognition Grand Challenge (FRGC). Během předzpracování jsou nalezeny význačné body v obličeji a následně je trojrozměrný model zarovnán do referenční polohy. Dále jsou vstupní data porovnávána s biometrickými šablonami uloženými v databázi, a to je zajištěno využitím tří základních technik pro rozpoznávání obličejů -- metoda eigenface (PCA), rozpoznávání založené na histogramu obličeje a rozpoznávání založené na anatomických rysech. Nakonec jsou jednotlivé metody spojeny do jednoho systému, jehož celková výsledná výkonnost převyšuje výkonnost jednotlivých použitých technik.

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