Original title:
Extrakce rysů z dlaně pro identifikaci osob
Translated title:
Extraction of Features from the Palm for Identification of Persons
Authors:
Pricl, Patrik ; Kanich, Ondřej (referee) ; Sakin, Martin (advisor) Document type: Bachelor's theses
Year:
2021
Language:
slo Publisher:
Vysoké učení technické v Brně. Fakulta informačních technologií Abstract:
[slo][eng]
Práca sa zaoberá identifikáciou osôb pomocou dlane. Využívaju sa špecifické vlastnosti kože a ciev. K zachyteniu týchto vlastností sa využíva reakcia kože a ciev na elektromagnetické žiarenie. Pri extrahovaní vlastností kože sa využíva Gáborov filter. Pre extrahovanie žíl sa používa algoritmus LLBP. K porovnávaniu vlastností využíva Hammingova vzdialenosť, Euklidova vzdialenosť a klasifikátor najbližšieho suseda.
The work deals with the identification of persons using the palm. The specific properties of the skin and blood vessels are used. The response of the skin and blood vessels to electromagnetic radiation is used to capture these properties. Gabor's filter is used to extract skin properties. The LLBP algorithm is used to extract the veins. It uses the Hamming distance, the Euclidean distance and the K-nearest neighbor algorithm to compare properties.
Keywords:
biometrics; blood oxidation; electromagnetic radiation; Gabor filter; Hamming distance; K-nearest neighbor algorithm; LLBP; palm; skin
Institution: Brno University of Technology
(web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library. Original record: http://hdl.handle.net/11012/199446