Mobilna aplikacija za određivanje fonta teksta sa slike

Silađi, Emil

master's thesis

Mobilna aplikacija za određivanje fonta teksta sa slike

Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2017. urn:nbn:hr:200:556709

Silađi, Emil

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

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

APA 6th Edition

Silađi, E. (2017). Mobilna aplikacija za određivanje fonta teksta sa slike (Master's 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:200:556709

MLA 8th Edition

Silađi, Emil. "Mobilna aplikacija za određivanje fonta teksta sa slike." 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:200:556709

Chicago 17th Edition

Harvard

Silađi, E. (2017). 'Mobilna aplikacija za određivanje fonta teksta sa slike', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 24 November 2024, https://urn.nsk.hr/urn:nbn:hr:200:556709

Vancouver

Silađi E. Mobilna aplikacija za određivanje fonta teksta sa slike [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2017 [cited 2024 November 24] Available at: https://urn.nsk.hr/urn:nbn:hr:200:556709

IEEE

E. Silađi, "Mobilna aplikacija za određivanje fonta teksta sa slike", 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:200:556709

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:556709

Metadata

Title	Mobilna aplikacija za određivanje fonta teksta sa slike
Title (english)	Mobile application to determine the font of the text on an image
Author	Emil Silađi
Mentor	Emmanuel Karlo Nyarko (mentor)
Committee member	Emmanuel Karlo Nyarko (predsjednik povjerenstva)
Committee member	Damir Filko (član povjerenstva)
Committee member	Ratko Grbić (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, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing Process Computing
Abstract	Glavni zadatak diplomskog rada je odrediti font sa slike teksta preko mobilne aplikacije. Prvi korak je detekcija teksta sa slike što je ostvareno preko programa Tessnet koji obradom slike preko alata Tesseract daje lokaciju, veličinu i vrijednost pronađenog znaka. Nakon što se dobiju te potrebne informacije, slike slova ili brojki se koriste u kNN algoritmu za samu klasifikaciju fonta. Mobilna aplikacija koja koristi Apache Cordova framework prikazuje te rezultate korisniku koristeći Azure servise za obradu slike i kao backend.
Abstract (english)	The main task of the thesis is to determine the font from an image using a mobile application. The first step in doing this is the detection of the text in an image which is accomplished using Tessnet. Tessnet using image processing via Tesseract provides the location, size and type of glyph found. With this information, the k-nearest neighbor algorithm is used to determine the most likely font. The mobile application uses Apache Cordova framework to show the data to the user while Azure services is used for image processing and as a backend to the mobile application
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:200:556709
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
Terms of use
Created on	2017-01-24 07:43:20

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