prikaz prve stranice dokumenta Automatsko prepoznavanje rukom pisanih matematičkih izraza
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master's thesis
Automatsko prepoznavanje rukom pisanih matematičkih izraza
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:598223
Vnučec, Nikola
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Vnučec, N. (2022). Automatsko prepoznavanje rukom pisanih matematičkih izraza (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:598223

Vnučec, Nikola. "Automatsko prepoznavanje rukom pisanih matematičkih izraza." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:598223

Vnučec, Nikola. "Automatsko prepoznavanje rukom pisanih matematičkih izraza." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:598223

Vnučec, N. (2022). 'Automatsko prepoznavanje rukom pisanih matematičkih izraza', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 24 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:598223

Vnučec N. Automatsko prepoznavanje rukom pisanih matematičkih izraza [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 August 24] Available at: https://urn.nsk.hr/urn:nbn:hr:168:598223

N. Vnučec, "Automatsko prepoznavanje rukom pisanih matematičkih izraza", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:598223

Metadata
TitleAutomatsko prepoznavanje rukom pisanih matematičkih izraza
Title (english)Handwritten mathematical expression recognition
AuthorNikola Vnučec
MentorMarko Čupić (mentor)
Committee memberMarko Čupić (predsjednik povjerenstva)
Committee memberAlan Jović (član povjerenstva)
Committee memberŽeljka Mihajlović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-06-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom su radu prikazani načini rada i implementacija konvolucijskih i povratnih neuronskih mreža. Pomoću radnog okvira PyTorch razvijena su tri modela različitih složenosti za prepoznavanje rukom pisanih matematičkih izraza. Modeli su razvijeni u enkoder – dekoder arhitekturama. Dok je najjednostavniji model implementiran jednostavnim konvolucijskim i povratnim mrežama, najsloženiji model koristi složenu gusto povezanu neuronsku mrežu kao enkoder, a u ulozi dekodera su dvije jednosmjerne propusne povratne ćelije uz mehanizam pozornosti. Modeli su trenirani na javno dostupnom skupu podataka iz CROHME natjecanja koji sadrži nešto više od 10 000 slika. Na kraju rada su opisani dobiveni rezultati treniranja i testiranja modela.
Abstract (english)
In this work, the specific mechanisms and implementation details of convolutional and recurrent neural networks are shown. Three deep models of different complexity have been developed to recognize handwritten mathematical expression. Models are developed in encoder – decoder architectures. While the simplest model is implemented with basic structures of convolutional and recurrent neural networks, the most complex model uses DenseNet as encoder and multi-scale recurrent decoder with an attention mechanism. The models were trained on a public CROHME dataset containing just over 10 000 images. Following that, obtained numerical results of model training and testing are expressed and briefly discussed.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:598223
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-01-14 21:58:41