This diploma thesis deals with the identification of persons by their fingerprints. In the beginning, there is a brief overview of biometric methods. The issue of fingerprints and their automatic processing is very extensive and addresses a large amount of literature. This work describes the various stages processing fingerprints from receiving a fingerprint scan through the methods of enhancing fingerprint, binarization, the detection of minutiae to compare two fingerprints. After a short introduction of biometric techniques is briefly introduced the history of fingerprints as an instrument for identification of persons. Subsequently, there is the description of problems of obtaining fingerprints from older methods that require the transmission medium, to methods of obtaining fingerprints directly into a digital format. There are described basic principles of sensors and the principle of their function. Next part deals with methods of processing digital fingerprint images. These are methods for fingerprint image enhancement, methods for image thresholding, thinning of ridge lines, detection of global and local characteristics of the fingerprint. The next section introduces the basic methods of comparison and classification of fingerprints. The practical part describes the specific implementation of fingerprint processing chain. For each processing stage is implemented one selected method. The result is an application that allows displaying the output of each phase, the comparison of fingerprints 1:1 and also finds a fingerprint in the database, by comparing one fingerprint with many.

This dissertation work focusses on using information about the location of the user during the authentication process on computer networks. With the growth of mobile computer devices over the last two decades the physical location of users is becoming one of the main issues for access management. This work researches existing solutions which are divided in to two groups related to the source of location information (SATNAV systems for example GPS and based on communication with active infrastructure such as GSM, Wi-Fi). This work shows the methodology for evaluating authentication data which use the principle of fuzzy logic. In comparison with binary logic it is possible to evaluate authentication data accurately. As a result of the authentication process the information is of a higher value, which can be taken into account when setting the levels of user privileges. An important aspect of working with location information is that the user is located in the same place and from where they are asking for access to the system. Solving this question could be linking user biometrics for example finger prints. This principle is used in two types of microelectronic authentication terminals which were developed in conjunction with this work. The first type of terminal uses a SATNAV receiver and an ISM wireless communication module as a source of location information. On the first type of authentication terminal newly developed authentication techniques were tested. The users biometrics are checked by finger print sensor with embedded processing. In the second type authentication terminal a Wi-Fi and GSM module were added for location purposes. In the conclusion of this dissertation the testing methodology of the data authorization and evaluation process of the second type of microelectronic authentication terminal is shown. This confirms the practicality of the suggested methodology and the time-space information in the authentication process.

This master's thesis deals with proposal and implementation of system for detection of fingerprint area in image. The first task was to elaborate the theory which is necessary for understanding the image fingerprint area detection problems. It is also necessary to propose a specific system for image fingerprint area detection where it is possible to enhance or improve present methods or design a new one. The proposed system making use of selected method will be able to avoid all problems arising during fingerprint area detection. Description of proposed system implementation and testing on the fingerprint database is described in following part. In last part all the achieved results are discussed.

This project deals with general biometrics issues focusing on fingerprint biometrics, with description of dermal papillae and principles of fingerprint sensors. Next this work deals with fingerprint liveness detection issues, including description of methods of detection. Next this work describes chosen features for own detection, used database of fingerprints and own algorithm for image pre-processing. Furthermore neural network classifier for liveness detection with chosen features is decribed followed by statistic evaluation of the chosen features and detection results as well as description of the created graphical user interface.

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.

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.

The work deals with verification of the metadata of audio recordings in an environment of mobile phones running Android. The text work is divided into three main parts. The first part is focused more on theoretical basis, where the main emphasis on the description of Android, application structure, description of the audio MP3 file and theoretical basis of Fourier transform in signal processing. The second part is devoted to solution design, analysis and implementation. The third part deals with testing.

This work contains overview of methods used in the area of Music Information Retrieval, mainly for purposes of searching of musical recordings. Several existing services in the areas of music identification and searching are presented and their methods for unique song identification are described. This work also focuses on possible modifications of these algorithms for searching of cover versions of songs and for the possibility of searching based on voice created examples.

This document discusses a solution for tooth classification on 3D jaw polygonal model. Sequentially, I describe techniques for representation and browsing of polygonal model saved in computer memory, techniques for dental curve detection and finally, creation of surface representing approximated tooth plane. After it, I analyze possibilities of height map creation from jaw model which helps in tooth classification in the scope of entire dental curve context and, as a last step, final detection of these teeth in two dimensions. In the same time, I discuss 3D polygonal model segmentation for border extraction, which separates teeth from the rest of the model. In the end of proposed algorithm, I join these two runs into one final detection and classification process of separate teeth, so presented application can automatically indentify and classify teeth to corresponding names and positions with a minimum user interaction. In a second half of this document, I describe implemented solution. According to primary goal, I propose these techniques forcefully to multiplatform approach and maximal user comfort.

/ a b s t r a c t This thesis deals with the environment of the landscape in connection to movements of the body and of the mind which result in an art gesture. It closely focuses on an individual experience of a landscape as a unique environment. It explains concepts and speculates about their meanings. Through interviews, the thesis presents different approaches to art from plethora of artists, who work in and with the landscape. It deals with a didactic project which aspires to inspire students to think more deeply about the environment that surrounds them and to communicate their understanding o fit through art. Personal artworks created in Finland in the Arctic Circle region capture motion in the landscape of the nature and that of the mind.