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Detection of Fingerprint Area in Image
Doležel, Michal ; Drahanský, Martin (referee) ; Lodrová, Dana (advisor)
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.
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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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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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Automatic Quality Improvement of a Fingerprint Image
Blaho, Vojtěch ; Lodrová, Dana (referee) ; Dluhoš, Ondřej (advisor)
This bachelor thesis is focused on enhancement the quality of fingerprint image and its qualitative evaluation. In the first part is defined term of a fingerprint image, the main characteristics features are analyzed and the most important properties to define a good quality image. The next chapter describes the method to determine the fingerprint image quality and regards with this method used in the SDK from Innovatrics in detail. The third chapter provides detailed acquaint with each step in enhancing the image using a method based on Gabor filter. The final part is devoted to the experimental results. It is generally difficult to create a method that would enhancement any fingerprint. Therefore, it would be appropriate to use the program to tune this method for a particular type of fingerprint or for a specific scanner.
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Carcassonne Board Game Artificial Intelligence
Černohub, Jan ; Lodrová, Dana (referee) ; Stružka, Jaroslav (advisor)
The aim of the thesis is to design, build, test and evaluate a virtual adaptation of popular board game Carcassonne for personal computers, including artificial intelligence algorithms for opponents. The core revolves around analysis of the game's rules, goals and gaming strategies in regards to general principles put forward by the game theory and probability, these also include description of chosen data format, procedural behavior and graphical user interface. Thesis concludes upon reflection on future possible development and improvement of the application in the areas of advanced artificial intelligence algorithms such as neural network programming.
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Artificial Intelligence in Bang! Game
Kolář, Vít ; Lodrová, Dana (referee) ; Orság, Filip (advisor)
The goal of this master's thesis is to create an artificial intelligence for the Bang! game. There is a full description of the Bang! game, it's entire rules, player's using strategy principles and game analysis from UI point of view included. The thesis also resumes methods of the artificial intelligence and summarizes basic information about the domain of game theory. Next part describes way of the implementation in C++ language and it's proceeding with use of Bayes classification and decision trees based on expert systems. Last part represent analysis of altogether positive results and the conclusion with possible further extensions.
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