Identifikacija osoba pomoću računalnog vida

Adamčević, Matej

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master's thesis

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Person idetification using computer vision

Matej Adamčević (2017)

Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Computer Engineering and Automation
Chair of Automation and Robotics

Cite this document

APA 6th Edition

Adamčević, M. (2017). Identifikacija osoba pomoću računalnog vida (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:513941

MLA 8th Edition

Adamčević, Matej. "Identifikacija osoba pomoću računalnog vida." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2017. https://urn.nsk.hr/urn:nbn:hr:200:513941

Chicago 17th Edition

Harvard

Adamčević, M. (2017). 'Identifikacija osoba pomoću računalnog vida', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 20 January 2020, https://urn.nsk.hr/urn:nbn:hr:200:513941

Vancouver

Adamčević M. Identifikacija osoba pomoću računalnog vida [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2017 [cited 2020 January 20] Available at: https://urn.nsk.hr/urn:nbn:hr:200:513941

IEEE

M. Adamčević, "Identifikacija osoba pomoću računalnog vida", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:200:513941

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:513941

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Metadata

Title	Identifikacija osoba pomoću računalnog vida
Title (english)	Person idetification using computer vision
Author	Matej Adamčević
Mentor	Ratko Grbić (mentor)
Committee member	Ratko Grbić (predsjednik povjerenstva)
Committee member	Emmanuel Karlo Nyarko (član povjerenstva)
Committee member	Robert Cupec (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 Automation and Robotics) Osijek
Defense date and country	2017-12-14, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing Process Computing
Abstract	U ovom radu opisan je razvoj sustava za identifikaciju i kontrolu pristupa osoba zasnovan na analizi uzorka šarenice metodama računalnog vida. Programsko rješenje u obliku aplikacije ostvareno je koristeći Qt razvojno okruženje i openCV biblioteku za implementaciju funkcija računalnog vida. Predloženo je rješenje za dohvaćanje fotografija dodavanjem sustava leća ispred kamere. Detaljno je opisan razvoja programskog rješenja za analizu šarenice, od predobrade slike, preko određivanja unutarnje i vanjske granice šarenice do generiranja i uspoređivanja binarnog koda za potrebe identifikacije korisnika. Sličnost dva binarna koda određuje se računanjem Hammingove udaljenosti između kodova. Omogućen je sustav za kontrolu pristupa te nadzor i upravljanje korisnicima zasnovan na SQL bazi podataka i aplikaciji izrađenoj u Qt razvojnom okruženju. Programsko rješenje testirano je na osobnom računalu (Windows 10 OS) i mikroračunalu Raspberry Pi (Raspbian Linux OS) sa ukupno 355 fotografija, pri čemu je uspoređeno 355 parova istih i 8875 parova različitih očiju. Rezultati uspoređivanja binarnih kodova istih i različitih parova očiju pokazali su da je uzorak šarenice vrlo pogodno svojstvo za identifikaciju osoba. Predloženi sustav postiže stopu lažnog prepoznavanja od 0%, a stopu lažnog odbijanja od 3.66%.
Abstract (english)	This paper describes the process of developing a person identification and access control system based on iris pattern analysis, using computer vision. The application is developed using the Qt framework and the openCV computer vision library. A solution for acquiring good quality images of the eye was proposed by stacking macro lenses in front of the camera lens. The process of developing a software solution for iris pattern analysis is described in detail, from image preprocessing, inner and outer iris boundary approximation to generating and comparing binary iris codes for user identification. The similarity between two codes is determined by calculating the Hamming distance between the two codes. An access management and supervision system has been implemented using an SQL database and the Qt based application. The software has been implemented and tested on both a PC running Windows and a Raspberry Pi microcomputer running Raspbian Linux, using a set of 355 images, resulting in 355 same eye comparisons and 8875 different eye comparisons. The results of comparing identical and different pairs of eyes have shown that the pattern of the iris is a suitable basis for person identification. The proposed system achieves an ideal 0% false recognition rate and a satisfying 3.66% false rejection rate.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:200:513941
Study programme	Title: Graduate University Study Programme in Computer Engineering Study programme type: university Study level: graduate Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resource	Text
File origin	Born digital
Access conditions	Open access
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Created on	2018-01-29 16:25:02