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undergraduate thesis
Raspoznavanje tiskanih znakova
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. urn:nbn:hr:168:028182
Savić, Bojana
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Savić, B. (2014). Raspoznavanje tiskanih znakova (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:028182

Savić, Bojana. "Raspoznavanje tiskanih znakova." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:028182

Savić, Bojana. "Raspoznavanje tiskanih znakova." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:028182

Savić, B. (2014). 'Raspoznavanje tiskanih znakova', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 20 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:028182

Savić B. Raspoznavanje tiskanih znakova [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2014 [cited 2024 May 20] Available at: https://urn.nsk.hr/urn:nbn:hr:168:028182

B. Savić, "Raspoznavanje tiskanih znakova", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2014. Available at: https://urn.nsk.hr/urn:nbn:hr:168:028182

Metadata
TitleRaspoznavanje tiskanih znakova
Title (english)Optical character recognition
AuthorBojana Savić
MentorTomislav Hrkać (mentor)
Committee memberTomislav Hrkać (predsjednik povjerenstva)
Committee memberZvonimir Pavlić (član povjerenstva)
Committee memberDarijan Marčetić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2014-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Jedna od vrlo važnih primjena računalnog vida je kompjutersko raspoznavanje teksta. U ovom radu je opisan jedan malo drugačiji pristup raspoznavanju teksta od standardnih metoda za ovu problematiku pomoću karakterističnih kuteva svakog pojedinog znaka abecede. Dan je prikaz rezultata za font (arial) za koji je metoda optimirana, kao i rezultati testa na 6 različitih fontova koji nisu upotrebljeni u učenju raspoznavanja originalnog fonta. Metoda je također testirana na otpornost prepoznavanja na deformacije slike. Dan je kratki osvrt na rezultate kao i eventualna dalnja poboljšanja algoritma u smislu boljeg raspoznavanja znakova i poboljšanja brzine rada algoritma.
Abstract (english)
Recognition of printed text via a computer is an important implementation of computer vision. In this work was given a bit different approach to the standard methods used for solving this problem using characteristic angles of each character of the alphabet. The results were given for font (Arial) for which the method was optimized to work with, as well as the results for recognition 6 other fonts which were not used as sample for the process of computer learning. The proposed method was also tested for tolerance on deformation of character picture. In the end was given a short elaboration on the results and were proposed potential adjustments of the algorithm for better recognition of characters and the overall speed of the algorithm.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:028182
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 on2018-02-05 17:53:30