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undergraduate thesis
Očitavanje rukom pisanog programskog koda
2021. urn:nbn:hr:168:138892
Sabolić, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

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Sabolić, I. (2021). Očitavanje rukom pisanog programskog koda (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:138892

Sabolić, Ivan. "Očitavanje rukom pisanog programskog koda." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:138892

Sabolić, Ivan. "Očitavanje rukom pisanog programskog koda." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:138892

Sabolić, I. (2021). 'Očitavanje rukom pisanog programskog koda', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 February 2025, https://urn.nsk.hr/urn:nbn:hr:168:138892

Sabolić I. Očitavanje rukom pisanog programskog koda [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2025 February 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:138892

I. Sabolić, "Očitavanje rukom pisanog programskog koda", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:138892

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Metadata
TitleOčitavanje rukom pisanog programskog koda
Title (english)Automatic recognition of handwritten source code
AuthorIvan Sabolić
MentorMarko Čupić (mentor)
Committee memberMarko Čupić (predsjednik povjerenstva)
Committee memberMarko Barišić (član povjerenstva)
Committee memberZoran Medić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-09-09, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu se razmatraju problemi automatskog očitavanja rukom pisanog teksta unutar kvadratičaste mreže. Proučeni su problemi te rješenja raspoznavanja linija sa slike te lokalizacije teksta unutar ćelija mreže. Također, primjenjeni su osnovni algoritmi strojnog učenja kao što su neuronske mreže pomoću kojih je provedeno raspoznavanje samog teksta stvaranje odgovarajućih izvršnih datoteka. Neuronske mreže su trenirane pomoću algoritma propagacije pogreške unatrag čiji pristup je također objašnjen u radu.
Abstract (english)
This paper discusses the problems of automatic reading of handwritten text within a square grid. Problems and solutions for line detection from an image and localizing text within network cells have been studied. Also, basic machine learning algorithms were applied, such as neural networks, by means of which the recognition of the text itself was performed, creating appropriate executable files. Neural networks were trained using a backpropagation algorithm whose approach is also explained in the paper.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:138892
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 on2023-01-14 21:36:31