|
|
Retinal biometry with low resolution images
Smrčková, Markéta ; Odstrčilík, Jan (referee) ; Kolář, Radim (advisor)
This thesis attempts to find an alternative method for biometric identification using retinal images. First part is focused on the introduction to biometrics, human eye anatomy and methods used for retinal biometry. The essence of neural networks and deep learning methods is described as it will be used practically. In the last part of the thesis a chosen identification algorithm and its implementation is described and the results are presented.
|
|
|
Biometric Recognition of 3D Faces
Mráček, Štěpán ; Drahanský, Martin (referee) ; Dvořák, Radim (advisor)
Diplomová práce byla vypracována na studijním pobytu na "Gjovik University College" v Norsku, a je zpracována v angličtině. Tato práce se zabývá rozpoznáváním 3D obličejů. Je zde popsán obecný biometrický systém a také konkrétní postupy používané při rozpoznávání 2D i 3D obličejů. Následně je navžena metoda pro rozpoznávání 3D obličejů. Algoritmus je vyvíjen a testován pomocí databáze Face Recognition Grand Challenge (FRGC). Během předzpracování jsou nalezeny význačné body v obličeji a následně je trojrozměrný model zarovnán do referenční polohy. Dále jsou vstupní data porovnávána s biometrickými šablonami uloženými v databázi, a to je zajištěno využitím tří základních technik pro rozpoznávání obličejů -- metoda eigenface (PCA), rozpoznávání založené na histogramu obličeje a rozpoznávání založené na anatomických rysech. Nakonec jsou jednotlivé metody spojeny do jednoho systému, jehož celková výsledná výkonnost převyšuje výkonnost jednotlivých použitých technik.
|
|
|
Biometry based on iris images
Tobiášová, Nela ; Drahanský, Martin (referee) ; Kolář, Radim (advisor)
The biometric techniques are well known and widespread nowadays. In this context biometry means automated person recognition using anatomic features. This work uses the iris as the anatomic feature. Iris recognition is taken as the most promising technique of all because of its non-invasiveness and low error rate. The inventor of iris recognition is John G. Daugman. His work underlies almost all current public works of this technology. This final thesis is concerned with biometry based on iris images. The principles of biometric methods based on iris images are described in the first part. The first practical part of this work is aimed at the proposal and realization of two methods which localize the iris inner boundary. The third part presents the proposal and realization of iris image processing in order to classifying persons. The last chapter is focus on evaluation of experimental results and there are also compared our results with several well-known methods.
|
|
| |
|
|
Properties measurement of ultrasound system in ophthalmology
Grebíková, Lucie ; Mézl, Martin (referee) ; Harabiš, Vratislav (advisor)
The thesis deals with physical principles of ultrasound with following specialization on ophtalmic ultrasound system Nidek Echoscan 4000 and its properties. And also it deals with description of investigative techniques in ophthalmology (A-mode, B-mode, biometry and pachymetry). Next, they was suggested procedures of measurement and that is spatial resolution (axial and lateral spatial resolution) and propagation speed of ultrasound depending on the temperature. Then these properties was tested on laboratory phantoms of eye – ETETECH LTD. and Multipurpose Ultrasound Phantom but on created phantoms of eye too, which will be made from agarose gel with build-in materail (fishing line, plastic film, plastic bag and rubber). At the end, measured values was processed in the generated program.
|
|
|
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.
|
|
|
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.
|
|
|
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.
|
|
|
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.
|
|
|
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.
|
guest ::
