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Identification of human iris
Horníček, Vladimír ; Maršálek, Roman (referee) ; Frýza, Tomáš (advisor)
This bachelor‘s thesis deals with eye iris human identification. The main advantage of eye iris human identification is individuality and accuracy of human eye iris. In the beginnig of this thesis there are described the main biometrics terms. The second part of this work engages theoretical basics of identification system activity and functionality. By using theoretical datas, there is designed and created an aplication in the Matlab simulation program. This aplication is able to creates and then compares the iris human. In the end of this thesis there are a results analysis.
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Realization of fingerprint scanner
Kovář, Martin ; Sekora, Jiří (referee) ; Mézl, Martin (advisor)
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.
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Biometric 2D face recognition from camera system placed on a quadrocopter
Mikundová, Lea ; Mráček, Štěpán (referee) ; Drahanský, Martin (advisor)
This Bc. thesis is devoted to face recognization from camera system placed on a quadrocopter. The teoretical part is about the most used methods for detection and face recognition and their comparison. The next part is about motion capturing from quadrocopter. Practical part of thesis is devoted to implementation of algorithms for face detection and recognization by OpenCV library and evaluation of algorithm in respect to distance and angle of quadrocopter due to captured person.
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Finger vein biometry
Stibůrek, Miroslav ; Svozilová, Veronika (referee) ; Mézl, Martin (advisor)
The following work deals with basics of biometrics terms, history of biometrics, and methods of collecting and recognizing human characteristics. The work includes facts about physics, human anatomy and physiology - these elements are necessary for a full understanding of the issue. In order to segment finger vein, a method of pre-processing scanned visual data is devised. A practical part of paper contains a proposal of a device for scanning finger vein using minicomputer Raspberry Pi and its following realization. Database of images is created using realized device and applicability of extracted finger vein for application in biometric systems is discussed.
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Recognition of Skin Diseases on Fingers of a Human Hand
Šesták, Martin ; Orság, Filip (referee) ; Drahanský, Martin (advisor)
This bachelor thesis deals with the design of methods and application for recognition of the fingerprints from diseased and healthy fingers and the subsequent detection of selected diseases. The first part describes basic principles of biometrics, introduction to fingerprints and their processing, and introduction to the topic of fingerprints affected by skin diseases. The next section describes the implementation of the application and its results. The application was tested on a database of research group STRaDe, from the Department of Intelligent Systems, Faculty of Information Technology, Brno University of Technology, which contains approximately 380 test fingerprints.
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Basic fingerprint liveness detection
Horák, Tomáš ; Smital, Lukáš (referee) ; Kašpar, Jakub (advisor)
Biometric data is unique, safe and often used to protect information. Even in some cases, detectors can be fooled, and therefore liveness is needed to check. This work focuses on the basic recognition of the liveliness of the fingerprint. Only one finger image is used. For perfect recognition, you need to compare the prints, so have more than one print, and that's why this detection is very demanding. Pre-processing was done with a binary segmentation mask. Methods using gray scale ratios, mean, standard deviations or histogram equalization were also used. All the methods were done on the LivDet 2011 database, in the Matlab environment and the goal was to recognize a live fingerprints from a false ones.
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Biometric Sensor for Hand Vein Recognition
Švestka, Jan ; Drahanský, Martin (referee) ; Goldmann, Tomáš (advisor)
This work describes the area of the biometric sensor for identifying using hand veins. It proposes the construction of a sensor made up of a camera, an infrared LED, an ultrasonic distance meter and an Arduino development device. The sensor cover and removable arm support are modeled and constructed using 3D printing. A software with user-interface is created for a sensor. The work describes the experiments carried out to find the ideal lighting and camera parameters settings. It is possible to take a photo of a hand veins and identify a person stored in a database based on the captured image.
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3D Fingerprint Model Creation
Pavlík, David ; Váňa, Jan (referee) ; Dluhoš, Ondřej (advisor)
This bachelor thesis deals with acquiring fingerpints, basics of processing fingerprints at biometric systems and 3D model creation techniques. Main aim of this thesis is graphical application that uses fingerprint acquired with 2D fingerprint scanner and then creates 3D model of it. Application does not take curvature of finger into consideration but tries to reproduce height of papillary ridges. It's code is written in C++ with use of cross-platform user interface framework Qt. Besides 3D model creation it allows user to choose accuracy of this model and to export it in two different file formats. Possible use of this application is on the field of fingerprint liveness detection based on sweat pores. Application was tested on 50 real fingerprints and also on two different types of artifical fingerprints.
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Presentation Attack Detection on Hand Sensing Technology in Infrared Area
Richtarik, Jakub ; Sakin, Martin (referee) ; Drahanský, Martin (advisor)
When verifying a fingerprint, an attacker can use a counterfeit made of synthetic material. This can be prevented, for example, by using multispectral analysis, when various materials have different reflectance for certain wavelengths. There are several studies that have addressed this, but have always focused on one finger. The aim of this work is liveness detection on the whole palm and fingers, as on a larger object, which will contribute to even higher level of security. In the final solution, a NIR camera was used to capture the dataset, which is used to train a convolutional network to determine whether it is a living hand or a counterfeit.
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