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undergraduate thesis
Pronalaženje teksta na slikama
2020. urn:nbn:hr:168:681992
Šegota, Natalija
University of Zagreb
Faculty of Electrical Engineering and Computing

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Šegota, N. (2020). Pronalaženje teksta na slikama (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:681992

Šegota, Natalija. "Pronalaženje teksta na slikama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:681992

Šegota, Natalija. "Pronalaženje teksta na slikama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:681992

Šegota, N. (2020). 'Pronalaženje teksta na slikama', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 January 2025, https://urn.nsk.hr/urn:nbn:hr:168:681992

Šegota N. Pronalaženje teksta na slikama [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2025 January 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:681992

N. Šegota, "Pronalaženje teksta na slikama", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:681992

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Metadata
TitlePronalaženje teksta na slikama
Title (english)Detecting Text in Images
AuthorNatalija Šegota
MentorMarin Šilić (mentor)
Committee memberMarin Šilić (predsjednik povjerenstva)
Committee memberAdrian Satja Kurdija (član povjerenstva)
Committee memberLucija Šikić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-09-15, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad bavi se problemom pronalaženja teksta unutar slika. Objašnjene su tehnike, temeljene na konvolucijskim neuronskim mrežama, koje se koriste pri detekciji i prepoznavanju teksta na slikama. Sustav za optičko prepoznavanje znakova programski je ostvaren, a zatim i evaluiran prikladnim metodama. Evaluacija je provedena na javno dostupnom skupu slika metodama ispitivanja točnosti na razini znakova i riječi.
Abstract (english)
This paper examines the problem of text detection in images. The techniques for text detection and text recognition in images based on convolutional neural networks have been explained as well. The optical character recognition system has been implemented and evaluated by appropriate methods. The evaluation was made on a publicly available dataset of images using accuracy on a character level and accuracy on a word level.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:681992
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 on2023-01-13 16:14:31