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undergraduate thesis
Automatska transliteracija pisane glagoljice
2018. urn:nbn:hr:190:546186
Žužić, Ivana
University of Rijeka
Faculty of Engineering
Department of Computer Engineering
Section of Intelligent Computing Systems

Cite this document

Žužić, I. (2018). Automatska transliteracija pisane glagoljice (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:546186

Žužić, Ivana. "Automatska transliteracija pisane glagoljice." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2018. https://urn.nsk.hr/urn:nbn:hr:190:546186

Žužić, Ivana. "Automatska transliteracija pisane glagoljice." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2018. https://urn.nsk.hr/urn:nbn:hr:190:546186

Žužić, I. (2018). 'Automatska transliteracija pisane glagoljice', Undergraduate thesis, University of Rijeka, Faculty of Engineering, accessed 20 December 2024, https://urn.nsk.hr/urn:nbn:hr:190:546186

Žužić I. Automatska transliteracija pisane glagoljice [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2018 [cited 2024 December 20] Available at: https://urn.nsk.hr/urn:nbn:hr:190:546186

I. Žužić, "Automatska transliteracija pisane glagoljice", Undergraduate thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:190:546186

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Metadata
TitleAutomatska transliteracija pisane glagoljice
Title (english)Automated Transliteration of Written Glagolitic Script
AuthorIvana Žužić
MentorIvan Štajduhar (mentor)
Committee memberKristijan Lenac (predsjednik povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Computer Engineering)
(Section of Intelligent Computing Systems)
Rijeka
Defense date and country2018-09-18, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu opisane su posebnosti glagoljskog pisma te njihov utjecaj na mogućnost automatske transliteracije tog pisma iz papirnatih povijesnih izvora pomoću strojnog učenja. Isprobano je nekoliko postojećih arhitektura konvolucijskih neuralnih mreža koje su bile korištene za prepoznavanje znakova različitih pisama u već postojećim radovima te je prokomentirana njihova efikasnost kod primjene na glagoljicu. Za potrebe rada sastavljen je skup podataka za treniranje, validiranje i testiranje uspješnosti neuralnih mreža.
Abstract (english)
This thesis is describing the characteristics of Glagolitic script and their effect on the possibility of automatic transliteration of that script from paper-based historical sources by machine learning. Several existing convolutional neural network architectures that were used to recognize the characters of different scripts in existing papers are tried out and comments on their efficiency when applied to the Glagolitic have been given. For the purpose of this thesis, a dataset for training, validation and testing of the performance of neural networks was assembled.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:546186
Study programmeTitle: Computer Engineering
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
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2018-09-27 13:01:14