Thesis Details
Detekce živosti lidské ruky z multispektrálních snímků
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.
security, liveness detection, multi-spectral photograph, palm image, finger image, image processing, skin, radiation, light spectrum, biometry
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
@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/" }