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undergraduate thesis
Klasifikacija fonta datoteke
2023. urn:nbn:hr:200:293844
Zubčić, Ivan
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Programming Languages and Systems

Cite this document

Zubčić, I. (2023). Klasifikacija fonta datoteke (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:200:293844

Zubčić, Ivan. "Klasifikacija fonta datoteke." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2023. https://urn.nsk.hr/urn:nbn:hr:200:293844

Zubčić, Ivan. "Klasifikacija fonta datoteke." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2023. https://urn.nsk.hr/urn:nbn:hr:200:293844

Zubčić, I. (2023). 'Klasifikacija fonta datoteke', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 14 September 2024, https://urn.nsk.hr/urn:nbn:hr:200:293844

Zubčić I. Klasifikacija fonta datoteke [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2023 [cited 2024 September 14] Available at: https://urn.nsk.hr/urn:nbn:hr:200:293844

I. Zubčić, "Klasifikacija fonta datoteke", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:200:293844

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Metadata
TitleKlasifikacija fonta datoteke
Title (english)File font classification
AuthorIvan Zubčić
MentorMarina Peko (mentor)
Committee memberMarina Peko (predsjednik povjerenstva)
Committee memberŽeljko Štanfel (član povjerenstva)
Committee memberIvana Hartmann Tolić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Programming Languages and Systems)
Osijek
Defense date and country2023-09-20, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
Glavni zadatak završnog rada je treniranje modela za prepoznavanje fonta datoteke koristeći napisani generator Alfa numeričkih slikovnih podataka. Za generator podataka korišten je programski jezik Python koji daje podršku mnogim paketima, uključujući i onima za obradu slike kao što su PIL i OpenCV, korišteni kod kreacije generatora podataka. Drugi dio zadatka bilo je kreiranje Neuralne mreže za prepoznavanje fonta slikovne datoteke.
Abstract (english)
The main task of this paper is the creation of a neural network that is able to recognize font of a file. Data used for training the model was synthetically made using a python script for Image generating. The language used for creating both neural network and data generator is Python, chosen for its great support and libraries such as PIL and OpenCV.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:293844
Study programmeTitle: Undergraduate professional study programme in Computer Engineering
Study programme type: professional
Study level: undergraduate
Academic / professional title: stručni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (stručni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-11-03 09:49:47