Poboljšani algoritam identifikacije osoba putem irisa

Vido, Ivan

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

APA 6th Edition

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

MLA 8th Edition

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

Chicago 17th Edition

Harvard

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 14 January 2025, https://urn.nsk.hr/urn:nbn:hr:200:051531

Vancouver

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 2025 January 14] Available at: https://urn.nsk.hr/urn:nbn:hr:200:051531

IEEE

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

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:051531

Metadata

Title	Poboljšani algoritam identifikacije osoba putem irisa
Title (english)	Advanced algorithm for iris identification
Author	Ivan Vido
Mentor	Željko Hocenski (mentor)
Mentor	Damir Blažević (mentor)
Committee member	Željko Hocenski (predsjednik povjerenstva)
Committee member	Hrvoje Glavaš (član povjerenstva)
Committee member	Damir Blažević (član povjerenstva)
Granter	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) Osijek
Defense date and country	2016-09-28, 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)
Language	croatian
URN:NBN	urn:nbn:hr:200:051531
Study programme	Title: 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 resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Created on	2016-11-07 13:03:56

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