Thesis Details

Detekce živosti lidské ruky z multispektrálních snímků

Bachelor's Thesis Student: Kľučiar Adam Academic Year: 2021/2022 Supervisor: Sakin Martin, Ing.
English title
Liveness Detection of Human Hand from Multispectral Images
Language
Czech
Abstract

This thesis is aimed at liveness detection from multispectral palm images. The theoretical part includes the importance of liveness detection in biometry systems and it discusses several methods of liveness detection, hardware and software-based. Subsequently, there is a summary of individual parts of the human skin and an explanation of the light spectrum, its division and the importance of individual parts for liveness detection and their effect on individual parts of the skin. The outcome of this thesis is the design and implementation of an algorithm capable of detecting anorganic hand imitations by their properties acquired from a set of images taken under the light of three different wavelengths.

Keywords

security, liveness detection, multi-spectral photograph, palm image, finger image, image processing, skin, radiation, light spectrum, biometry

Department
Degree Programme
Files
Status
defended, grade C
Date
16 June 2022
Reviewer
Committee
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT), předseda
Burgetová Ivana, Ing., Ph.D. (DIFS FIT BUT), člen
Kreslíková Jitka, doc. RNDr., CSc. (DIFS FIT BUT), člen
Smrčka Aleš, Ing., Ph.D. (DITS FIT BUT), člen
Strnadel Josef, Ing., Ph.D. (DCSY FIT BUT), člen
Citation
KĽUČIAR, Adam. Detekce živosti lidské ruky z multispektrálních snímků. Brno, 2022. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-16. Supervised by Sakin Martin. Available from: https://www.fit.vut.cz/study/thesis/25033/
BibTeX
@bachelorsthesis{FITBT25033,
    author = "Adam K\'{l}u\v{c}iar",
    type = "Bachelor's thesis",
    title = "Detekce \v{z}ivosti lidsk\'{e} ruky z multispektr\'{a}ln\'{i}ch sn\'{i}mk\r{u}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/25033/"
}
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