Thesis Details

Klasifikace otisků prstů

Bachelor's Thesis Student: Kostiha Martin Academic Year: 2007/2008 Supervisor: Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D.
English title
Fingerprint Classification
Language
Czech
Abstract

Automatic identification based on fingerprints requires the input fingerprint to be matched with a large number of fingerprints stored in a database. Fingerprint classification provides an important indexing mechanism in fingerprint databases that reduces the search time and computational complexity.This thesis is dealing with Galton-Henry's  classification system. The classification method is based on orientation field and detection singularities using Poinaceré index.

Keywords

classification, fingerprint, arch, tented arch, left loop, right loop, whorl, orientaion field, singularity, Poincaré index, segmentation

Department
Degree Programme
Information Technology
Files
Status
defended, grade A
Date
10 June 2008
Reviewer
Committee
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), předseda
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), člen
Herout Pavel, doc. Ing., Ph.D. (WBU in Pilsen), člen
Lukáš Roman, Ing., Ph.D. (DIFS FIT BUT), člen
Martinek David, Ing. (DIFS FIT BUT), člen
Zbořil František V., doc. Ing., CSc. (DITS FIT BUT), člen
Citation
KOSTIHA, Martin. Klasifikace otisků prstů. Brno, 2008. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2008-06-10. Supervised by Drahanský Martin. Available from: https://www.fit.vut.cz/study/thesis/3919/
BibTeX
@bachelorsthesis{FITBT3919,
    author = "Martin Kostiha",
    type = "Bachelor's thesis",
    title = "Klasifikace otisk\r{u} prst\r{u}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2008,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/3919/"
}
Back to top