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undergraduate thesis
Prepoznavanje znakova na slikama
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:835916
Ursa, Ivana
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Ursa, I. (2020). Prepoznavanje znakova na slikama (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:835916

Ursa, Ivana. "Prepoznavanje znakova na slikama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:835916

Ursa, Ivana. "Prepoznavanje znakova na slikama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:835916

Ursa, I. (2020). 'Prepoznavanje znakova na slikama', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 04 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:835916

Ursa I. Prepoznavanje znakova na slikama [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 November 04] Available at: https://urn.nsk.hr/urn:nbn:hr:168:835916

I. Ursa, "Prepoznavanje znakova na slikama", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:835916

Metadata
TitlePrepoznavanje znakova na slikama
Title (english)Detecting Symbols in Images
AuthorIvana Ursa
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
Optičko prepoznavanje znakova (OCR) je grana računalnog vida koja se bavi raspoznavanjem znakova na slikama. Proces OCR sustava započinje predobradom slike tako da postane pogodna za jasnu segmentaciju znakova. Predobrada slike uključuje uklanjanje i zaglađivanje smetnji, otkrivanje i ispravak nagiba dokumenta, normalizaciju. Segmentiranim znakovima se izvlače njihove značajke te se na temelju njih znak provodi kroz raspoznavanje. Značajke mogu biti statističke i strukturne značajke te globalne transformacije. Popularna i učinkovita metoda raspoznavanja znakova je konvolucijska neuronska mreža.
Abstract (english)
Optical character recognition is a branch of computer vision that is focused on recognizing characters in images. The OCR system process begins with image preprocessing to make the image suitable for clear character segmentation. Image preprocessing includes noise removal and smoothing, document skew detection and correction, normalization. Features are extracted from the segmented characters, and based on them the character is being recognized. Features can be statistical and structural features, and global transformations. A popular and effective method of character recognition is the convolutional neural network.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:835916
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 16:25:18