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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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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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Fingerprints Generator
Chaloupka, Radek ; Orság, Filip (referee) ; Drahanský, Martin (advisor)
Algorithms for fingerprints recognition are already known for long time and there is also an effort for their best optimization. This master's thesis is dealing with an opposite approach, where the fingerprints are not being recognized, but are generated on the minutiae position basis. Such algorithm is then free of the minutiae detection from image and enhancements of fingerprints. Results of this work are the synthetic images generated according to few given parameters, especially minutiae.
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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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Microelectronics Time-Space Authentication Techniques
Jaroš, David ; Burda, Karel (referee) ; Sýkora, Jiří (referee) ; Kuchta, Radek (advisor)
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.
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Fingerprint biometry
Smékal, Ondřej ; Drahanský, Martin (referee) ; Fedra, Petr (advisor)
Algorithms designed for identification and verification persons by fingerprints recognition are spread and used as in forensics aplications as in private sector for a long time. The aim of this thesis is to make us aquainted with various aplicated mathematic models of fingerprint processing in digital way. Second task is the presentation algorithmic solution of chosen subject identification procedure by force of Fingerprint matching. Algorithm is solid in the development environment platform Matlab.
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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.
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Biometric fingerprint liveness detection
Váňa, Tomáš ; Vítek, Martin (referee) ; Smital, Lukáš (advisor)
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.
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Biometric fingerprint identification
Ruttkay, Michal ; Smital, Lukáš (referee) ; Vítek, Martin (advisor)
This thesis describes the anatomical characteristics of fingerprints and their applications in identifying the person. The theoretical part describes the importance of papillary lines on fingerprints, statistical analysis and pre-processing of images in particular. The practical section provides the necessary operations to compare fingerprints. The implementation was done in Matlab.
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