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Brute Force Attack on Fingerprint Access System Using Genetic Algorithms
Keszi, Marián ; Rydlo, Štěpán (referee) ; Kanich, Ondřej (advisor)
This work deals with a brute force attack on a fingerprint-based access system using genetic algorithms. It includes the design of a genetic algorithm as a mean to perform the brute force attack. In the study, a generative adversarial network was used as a generator of synthetic fingerprints trained on the SOCOFing dataset. Experiments were performed focusing on the possibility of inserting known information about a fingerprint fragment into the input vector, as well as experiments using advanced methods of the genetic algorithm to modify the input vector with the goal of overcoming the VeriFinger algorithm. The experiments led us to the conclusion that even with the help of a generative adversarial network and genetic algorithm, we were unable to surpass the VeriFinger algorithm.
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Precise Reconstruction of Damaged Parts in Fingerprint Images
Šmotláková, Lucia Mária ; Sakin, Martin (referee) ; Kanich, Ondřej (advisor)
The aim of the bachelor's thesis is to locate the damaged areas in fingerprints and then reconstruct them using cubic Bézier curves. Structure elements and morphological operations are used to localize the damage. The break points obtained by localization are used to plot the curve. The outcome is a simple user interface that allows the user to upload a fingerprint image and observe each step of the solution of the bachelor's thesis. The achieved results were then tested and analyzed. In conclusion, it is found that the use of Bézier curves for reconstruction is not suitable for all types of damage, in particular it is not suitable for large damage in areas of high curvature.
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Integration of tools working with fingerprints
Dobeš, Kristián ; Sakin, Martin (referee) ; Kanich, Ondřej (advisor)
This bachelor thesis deals with the design and implementation of the integration of tools working with fingerprints into current application SyFDaS. The main goal was to extend existing features of the application and develop new ones, such as visualization of simulated damage, damage annotation and generation of random input parameters for simulation. In the work, a methodology for integrating the new tools into the application was presented and successfully demonstrated. During the course of the work, the current user interface was greatly enhanced to better support different types of damage. The integration and extensions of tools were implemented in the C# programming language, including a reworking of the tools from Python using the EmguCV library for image processing. In the final part, quality analysis of the integrated tools with new extensions and testing of user interface friendliness were performed to confirm the functionality and usability of the application.
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Reconstruction of Damaged Parts of Fingerprint Image Using Neural Nets
Bobocký, Boris ; Dyk, Tomáš (referee) ; Kanich, Ondřej (advisor)
In this paper, I propose a method for reconstructing damaged fingerprints using generative adversarial networks (GANs), implemented with Python and the PyThorch library. I have trained a specific GAN model on a dataset of approximately twenty thousand prints, created with Anguli and other damage simulation tools. This approach produced excellent results and could have wide application in biometric systems. This work highlights the potential of deep learning in the fields of image reconstruction and biometrics.
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Ordering of Jobs for Pickling Lines
Plšek, Michal ; Tinka, Jan (referee) ; Kanich, Ondřej (advisor)
This work resolves the scheduling problem of multiple hoists transporting products between chemicals baths of pickling line. Harmonograms of products are calculated by modified Shifting bottleneck heuristic, which prevents product conflicts inside baths. Genetic algorithm NSGA-II is used for solution-space search. Web application built over the optimization process allows user to manage/edit products, hoists, baths, configuration parameters and optimization results. Applying proposed heuristic to smaller optimization tasks boosts production effectivity up to 30-45 % (comparing to naive harmonograms). The result of this work is application on the basis of which full-fledged C++ application might be programmed. Then it might be used for solving larger-scale problems.
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Liveness Detection of a Hand
Vanický, Jozef ; Kanich, Ondřej (referee) ; Sakin, Martin (advisor)
This thesis solves the security problem of biometric systems which uses biometric data of a hand. It focuses on the absence of liveness detection during verification of a sample by the biometric system. In result this thesis offers to extend the contactless biometric systems by a system of liveness detection, which utilizes specific properties of human skin and its reactions to certain wavelengths of the visible spectrum of electromagnetic radiation. Reactions of the skin on the specific wavelengths of visible spectrum are analyzed and compared with the reactions of inorganic materials which imitates the hand. Outcome of this thesis is a design and implementation of a liveness detection algorithm, which can, based on the analysis of a set of photographs of the human palm, which was exposed to four wavelengths of a visible part of the electromagnetic spectrum, successfully recognize a hand from a counterfeit with an average accuracy rate of 82.20 %.
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Generation of Skin Disease Effects into Synthetic Fingerprints from SFinGe Generator
Wildmann, Radek ; Drahanský, Martin (referee) ; Kanich, Ondřej (advisor)
This thesis discuss the topic of generation of skin disease effects, psoriasis and colagenosis into synthetic fingerprints from SFinGe generator. Thesis includes theoretical as well as practical approach of the topic including implementation design, program implementation and experiment results. SFinGe approach is used to generate fingerprints. Python (2.7.6) is used to implement algorithm for image processing and generating disease symptoms with OpenCV, Matplotlib, NumPy and SciPy libraries. For results evaluation, NFIQ standard and Oravec approach are used. The application is able to generate fingerprint image with symptoms of psoriasis or colagenosis, therefore it can be used for futher research with biometric systems.
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Extraction of Detailed Information from Plastic Fingerprints
Krsička, Tomáš ; Sakin, Martin (referee) ; Kanich, Ondřej (advisor)
This thesis deals with automatic analysis of plastic fingerprints and extraction of statistic information from them. The application uses a texture highlighting algorithm to separate the area that includes the fingerprint and extracts the width and density of papillary ridges. These values are then converted into mm and appropriately exported. This information can then be used to estimate the age of the owner of the fingerprint. The results of the analysis of most of the data have shown wider ridges in male fingerprints and a growing width of ridges with the age of the owner.
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Reconstruction of Damaged Parts of Fingerprint Image
Halva, Vladislav ; Drahanský, Martin (referee) ; Kanich, Ondřej (advisor)
This bachelor thesis deals with the reconstruction of damaged fingerprint areas. The main goal is the design and implementation of an algorithm for the reconstruction of these regions. The designed algorithm consists of three main parts. The first part is fingerprint feature extraction and their derivation in damaged areas. The second part is a localization of damaged areas, which is based mainly on the structure of papillary lines. The last part is the damaged areas reconstruction itself. Gabor filter is used in this part of the process. The algorithm is implemented in C++ using the OpenCV library. An analysis of the reconstruction success rate is done afterwards. It is at first evaluated using the difference of quality between the input and processed fingerprint image, estimated by NIST NFIQ 2.0 and one other alternative tool for fingerprint image quality evaluation. The next step is a manual evaluation of the reconstruction success rate in various types of damaged areas.
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Vein-Artery Segmentation of Blood Vessels in Retinal Images
Sedlář, Radek ; Kanich, Ondřej (referee) ; Kavetskyi, Andrii (advisor)
This work focuses on an introduction to the issue of segmentation of veins and arteries from retinal images. The work contains a comparison of the most used methods with their pros and cons. Furthermore, a proprietary method for segmentation and division into veins and arteries is proposed. The work also contains a detailed description of the implementation of the proposed method and a summary of their results.
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