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master's thesis
Višeobjektni modeli detekcije za raspoznavanje teksta dubokim učenjem
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:143570
Jurin, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Jurin, I. (2017). Višeobjektni modeli detekcije za raspoznavanje teksta dubokim učenjem (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:143570

Jurin, Ivan. "Višeobjektni modeli detekcije za raspoznavanje teksta dubokim učenjem." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:143570

Jurin, Ivan. "Višeobjektni modeli detekcije za raspoznavanje teksta dubokim učenjem." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:143570

Jurin, I. (2017). 'Višeobjektni modeli detekcije za raspoznavanje teksta dubokim učenjem', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:143570

Jurin I. Višeobjektni modeli detekcije za raspoznavanje teksta dubokim učenjem [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 December 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:143570

I. Jurin, "Višeobjektni modeli detekcije za raspoznavanje teksta dubokim učenjem", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:143570

Metadata
TitleVišeobjektni modeli detekcije za raspoznavanje teksta dubokim učenjem
Title (english)Multi-Object Detection Models for Optical Character Recognition Using Deep Learning
AuthorIvan Jurin
MentorSven Lončarić (mentor)
Committee memberSven Lončarić (predsjednik povjerenstva)
Committee memberMarko Subašić (član povjerenstva)
Committee memberTomislav Petković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-11, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Raspoznavanje teksta je važna primjena analize slike te se primjenjuje u mnogim područjima ljudske djelatnosti. Istraživanja su pokazala da pristupi temeljeni na dubokom učenju daju visoku točnost u mnogim područjima. U okviru ovog diplomskog rada proučene su primjene metoda dubokog učenja za višeobjektnu detekciju, a jedna od njih, \textit{Faster R-CNN} je iskorištena u problemu raspoznavanja teksta. Predložene su brojne prilagodbe i poboljšanja modela kojima pristup znatno nadmašuje klasične metode u raspoznavanju teksta.
Abstract (english)
Text recognition is an important application of image analysis with applications in many real life situations. Studies have found that approaches based on deep learning achieve excellent results in many areas. Deep learning methods for multiple object detection have been examined within this master's thesis. One of them, \textit{Faster R-CNN} is used for text recognition problem. Many adaptations and improvements of the approach have been submitted. With these modifications the approach excels classsic approaches in text recognition problem.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:143570
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2019-03-13 21:21:22