Master's Theses

Year: Supervisor: 
Student:  Title: 
Keywords: 

Software for Biometric Recognition of a Human Eye Iris

Ac. year:2014/2015
Student:Maruniak Lukáš
Supervisor:Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D.
Reviewer:Orság Filip, Ing., Ph.D.
Department:Department of Intelligent Systems FIT BUT
Branch of study:Bioinformatics and biocomputing (Master)
Language:czech
Status:defended - final grade C
Date:2015-06-24
Files:
Keywords
biometry, iris recognition, feature extraction, daugman, integro-differential operator, Rubber sheet model, normalization, segmentation, Hamming distance, demodulation, Gabor wavelet, wavelet transformation, evolution algorithms, evolution strategies, genetic alghorithms
Abstract
In my thesis, I focus on the task of recognizing human iris from an image.In the beginning, the work deals with a question of biometrics, its importance and basic concepts, which are necessary for use in following text. Subsequently process of human Iris detection is described together with theory of evolution algorithms. In the implementation part, is described the design of implemented solution, which uses evolution algorithms, where is emphasis on correct pupil and iris boundary detection.
ISO 690 Citation
MARUNIAK, Lukáš. Software for Biometric Recognition of a Human Eye Iris. Brno, 2015. Available from: http://www.fit.vutbr.cz/study/DP/DP.php?id=17916. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-24. Supervisor Drahanský Martin.
BibTeX
@MASTERSTHESIS{
    author = {Luk{\'{a}}{\v{s}} Maruniak},
    title = {Software for Biometric Recognition of a Human Eye
	Iris},
    school = {Brno University of Technology,
		Faculty of Information Technology},
    year = {2015},
    location = {Brno, CZ},
    language = {czech},
    url = {http://www.fit.vutbr.cz/study/DP/DP.php?id=17916}
}

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