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undergraduate thesis
Prepoznavanje grafičkih znakova
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:565600
Kraljević, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Kraljević, I. (2017). Prepoznavanje grafičkih znakova (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:565600

Kraljević, Ivan. "Prepoznavanje grafičkih znakova." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:565600

Kraljević, Ivan. "Prepoznavanje grafičkih znakova." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:565600

Kraljević, I. (2017). 'Prepoznavanje grafičkih znakova', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:565600

Kraljević I. Prepoznavanje grafičkih znakova [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 June 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:565600

I. Kraljević, "Prepoznavanje grafičkih znakova", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:565600

Metadata
TitlePrepoznavanje grafičkih znakova
Title (english)Recognition of graphical characters
AuthorIvan Kraljević
MentorDragan Jevtić (mentor)
Committee memberDragan Jevtić (predsjednik povjerenstva)
Committee memberAleksandar Antonić (član povjerenstva)
Committee memberDarko Štriga (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-09-20, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Tema ovog završnog rada bila je prepoznavanje grafičkih znakova sa slike korištenjem strojnog učenja. U svrhu strojnog izdvajanja korišten je KNN algoritam, a platforma korištena za obradu slike, u ovom radu je OpenCV. KNN algoritam odluku o klasifikaciji odgađa sve do trenutka predočavanja upita. Točnost izdvajanja simbola sa slike varira u ovisnosti o samoj kvaliteti slike, o obradi klasifikacijskih podataka, kao i o pravilnom odabiru hiperparametra K. Izdvajanje simbola sa slike obrađeno je na primjeru prepoznavanja automobilskih tablica. Ovaj rad sadrži opis svih postupaka potrebnih za pripremu slike za izdvajanje simbola, koji osim za ovaj specifični slučaj vrijede i za sve ostale primjere, također opisan je način rada KNN algoritma, sve njegove prednosti i mane, kao i postupak klasifikacije podatka za daljnji rad algoritma.
Abstract (english)
The subject of this thesis was the analysis of character recognition from image using machine learning. In the observed solution, KNN algorithm was used for character recognition. The platform used for image processing, in this thesis is OpenCV. KNN algorithm postpones the decision of classification until the request comes. Accuracy of character recignition from image depends on quality of image, processing of the dataset for classification and on correctly choosing K parameter. Character recognition, in this thesis, was done on car license plates. This thesis contains a description of all procedures that are needed for image preprocessing and for character recognition that are not only applicable in this specific case, but for almost every other case where a character or object is needed to be recognized. Furthermore, it contains an analysis of KNN algorithm with all his pros and cons, and procedures of classification of datasets that will later be used for recognition.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:565600
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2019-03-13 21:55:05