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undergraduate thesis
Poboljšani algoritam identifikacije osoba putem irisa
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2016. urn:nbn:hr:200:051531
Vido, Ivan
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Computer Engineering and Automation
Chair of Computer Engineering

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Vido, I. (2016). Poboljšani algoritam identifikacije osoba putem irisa (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:051531

Vido, Ivan. "Poboljšani algoritam identifikacije osoba putem irisa." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2016. https://urn.nsk.hr/urn:nbn:hr:200:051531

Vido, Ivan. "Poboljšani algoritam identifikacije osoba putem irisa." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2016. https://urn.nsk.hr/urn:nbn:hr:200:051531

Vido, I. (2016). 'Poboljšani algoritam identifikacije osoba putem irisa', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 22 July 2024, https://urn.nsk.hr/urn:nbn:hr:200:051531

Vido I. Poboljšani algoritam identifikacije osoba putem irisa [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2016 [cited 2024 July 22] Available at: https://urn.nsk.hr/urn:nbn:hr:200:051531

I. Vido, "Poboljšani algoritam identifikacije osoba putem irisa", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:200:051531

Metadata
TitlePoboljšani algoritam identifikacije osoba putem irisa
Title (english)Advanced algorithm for iris identification
AuthorIvan Vido
MentorŽeljko Hocenski (mentor)
MentorDamir Blažević (mentor)
Committee memberŽeljko Hocenski (predsjednik povjerenstva)
Committee memberHrvoje Glavaš (član povjerenstva)
Committee memberDamir Blažević (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Computer Engineering and Automation)
(Chair of Computer Engineering)
Osijek
Defense date and country2016-09-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Architecture of Computer Systems
Abstract
Ljudska šarenica je savršen kandidat biometrijske identifikacije ljudi. Identifikacija osoba započinje uzimanjem slike oka, najčešće u grayscale-u, te aproksimacijom irisa na vritualne kružnice koje čine prsten koji će biti izrezan iz slike. Virtualni prsten se naknadno normalizira i interpolira po log-polar domeni čime dobivamo površinski izgled tog prstena u ravnini. Nakon što smo dobili prikaz virtualnog prstena u ravnini, sada je potrebno kompresirat podatke i sačuvat ih u bazi podataka sa svim drugim irisima.
Abstract (english)
Human iris is a perfect candidate for biometric identification of a person. The identification begins with taking a picture of a human eye, usually grayscale, after which comes the aproximation of iris with virtual circles. Those circles make up a virtual ring which is going to be normalized into a spatial domain via log-polar transformation. With Fourier transform we get the final result of iris looking like a bar code. Than we need to compress the bar code and save it in the data base with other irises.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:051531
Study programmeTitle: Undergraduate University Study Programme
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2016-11-07 13:03:56