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Raspoznavanje znakova s registracijskih pločica automobila
Matej Damjanović (2015)
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
Cite this document

Damjanović, M. (2015). Raspoznavanje znakova s registracijskih pločica automobila (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:073572

Damjanović, Matej. "Raspoznavanje znakova s registracijskih pločica automobila." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2015. https://urn.nsk.hr/urn:nbn:hr:200:073572

Damjanović, Matej. "Raspoznavanje znakova s registracijskih pločica automobila." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2015. https://urn.nsk.hr/urn:nbn:hr:200:073572

Damjanović, M. (2015). 'Raspoznavanje znakova s registracijskih pločica automobila', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 27 January 2020, https://urn.nsk.hr/urn:nbn:hr:200:073572

Damjanović M. Raspoznavanje znakova s registracijskih pločica automobila [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2015 [cited 2020 January 27] Available at: https://urn.nsk.hr/urn:nbn:hr:200:073572

M. Damjanović, "Raspoznavanje znakova s registracijskih pločica automobila", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:200:073572

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Metadata
TitleRaspoznavanje znakova s registracijskih pločica automobila
Title (english)Character recognition with the license plates of cars
AuthorMatej Damjanović
MentorŽeljko Hocenski (mentor)
Committee memberŽeljko Hocenski (predsjednik povjerenstva)
Committee memberIvan Aleksi (član povjerenstva)
Committee memberČaslav Livada (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 country2015-12-22, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Telecommunications and Informatics
Abstract
Ovaj rad se bavi problematikom automatskog prepoznavanja registarskih tablica. Izloženi su principi detekcije područja registarske tablice s proizvoljne fotografije i algoritmi segmentacije prepoznate tablice. Nakon toga je prikazan princip normalizacije dobivenih znakova te izlučivanja karakterističnih značajki. Pristup se zasniva na binarizaciji slike s tablicom, obradi slike matematičkom morfologijom te traženja povezanih komponenata koje zadovoljavaju zadane kriterije za registarsku tablicu. Predstavlja se razvijena aplikacija koja omogućuje testiranje algoritma i prilagodbu svih korištenih parametara radi proučavanja rada ili poboljšanja. Opisuju se svi koraci i provodi se analiza algoritma nakon testiranja na korištenoj bazi slika. Uspoređuju se rezultati dobiveni pomoću razvijene programske potpore, te se opisuje utjecaj različitih parametara na kvalitetu prepoznavanja. Komentiraju se rezultati. Pruža se uvid u druge pristupe rješavanja ovog problema.
Abstract (english)
This paper deals with aspects of automatic number plate recognition systems. Principles of number plate area recognition are shown, as well as algorithms for segmentation of detected number plate. They are followed by the analysis of normalization and feature extraction algorithms. Approach is based on binarization of image containing licence plate, processing image using mathematical morphology and finding connected components that satisfy set-up conditions for licence plate. Developed application is presented. Application allows adjusting of all parameters used in detection and testing of algorithm which can be used in further research. All stages in algorithm are described and analysis after testing is pursued. Finally, we compare results obtained from the developed software, and discuss the influence of different parameters on recognition performance and quality. Results are commented. Thesis also presents other approaches to the problem.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:073572
Study programmeTitle: Graduate University Study Programme in Electrical Engineering; branch: Communications and Informatics, Power Engineering
Course: branch: Communications and Informatics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike (magistar/magistra inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of usehttp://rightsstatements.org/vocab/InC/1.0/
Created on2016-06-06 09:55:47