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master's thesis
Metoda za prepoznavanje znakova s registarskih oznaka automobila
2015. urn:nbn:hr:200:526401
Posavi, Josip
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

Cite this document

Posavi, J. (2015). Metoda za prepoznavanje znakova s registarskih oznaka automobila (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:526401

Posavi, Josip. "Metoda za prepoznavanje znakova s registarskih oznaka 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:200:526401

Posavi, Josip. "Metoda za prepoznavanje znakova s registarskih oznaka 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:200:526401

Posavi, J. (2015). 'Metoda za prepoznavanje znakova s registarskih oznaka automobila', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 27 February 2021, https://urn.nsk.hr/urn:nbn:hr:200:526401

Posavi J. Metoda za prepoznavanje znakova s registarskih oznaka automobila [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2015 [cited 2021 February 27] Available at: https://urn.nsk.hr/urn:nbn:hr:200:526401

J. Posavi, "Metoda za prepoznavanje znakova s registarskih oznaka 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:200:526401

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Metadata
TitleMetoda za prepoznavanje znakova s registarskih oznaka automobila
Title (english)The method for vehicle license plate character recognition
AuthorJosip Posavi
MentorIrena Galić (mentor)
MentorKrešimir Romić (mentor)
Committee memberIrena Galić (predsjednik povjerenstva)
Committee memberČaslav Livada (član povjerenstva)
Committee memberKrešimir Romić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Visual Computing)
Osijek
Defense date and country2015-10-01, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Telecommunications and Informatics
Abstract
U radu su razvijena tri algoritma. Prvi algoritam korišten je za segmentaciju registarske oznake s slike vozila u boji. Algoritam je podijeljen na tri glavna procesa. U prvom se procesu provodi predprocesiranje ulazne slike. Slijedi proces binarizacije Otsu metodom. Nakon uspješnog odvajanja područja interesa od ostatka slike provodi se morfološka obrada slike. Slika segmentirane registarske oznake šalje se algoritmu za segmentaciju znakova. Segmentirani znakovi spremaju se u unaprijed definirano polje, te se šalju algoritmu za optičko prepoznavanje znakova. Znakovi se prepoznavanju s obzirom na strukturne značajke znaka kao što u broj i položaj petlji u znaku. Algoritmom je postignuta uspješnost izvođenja od 90,38% uz prosječno vrijeme izvršavanja od 1,458 sekunde
Abstract (english)
This paper describes the development of three algorithms. The first algorithm is used for license plate segmentation from the color image of the vehicle. The algorithm is divided into three main processes. The first process carries out the pre-processing of the input image. The next process carries out the Threshold using the Otsu method. The last process does the morphological processing of the binary image. The segmented license plate is sent as parameter to the character segmentation algorithm. Segmented characters are saved in the pre-defined array and then sent as a parameter to the optical character recognition algorithm. The algorithm recognizes characters based on their structural features like the number and position of loops in the character. The algorithm achieves a success rate of 90,38 % with an average execution time of 1,453 seconds
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:526401
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 useLicence In copyright icon
Created on2016-07-05 08:14:58