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undergraduate thesis
Metoda za automatsko očitavanje fiskalnih računa
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:114570
Grbeša, Ante
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Grbeša, A. (2019). Metoda za automatsko očitavanje fiskalnih računa (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:114570

Grbeša, Ante. "Metoda za automatsko očitavanje fiskalnih računa." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:114570

Grbeša, Ante. "Metoda za automatsko očitavanje fiskalnih računa." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:114570

Grbeša, A. (2019). 'Metoda za automatsko očitavanje fiskalnih računa', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:114570

Grbeša A. Metoda za automatsko očitavanje fiskalnih računa [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 December 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:114570

A. Grbeša, "Metoda za automatsko očitavanje fiskalnih računa", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:114570

Metadata
TitleMetoda za automatsko očitavanje fiskalnih računa
Title (english)Method for Automatic Reading of Fiscal Receipts
AuthorAnte Grbeša
MentorMarko Subašić (mentor)
Committee memberMarko Subašić (predsjednik povjerenstva)
Committee memberIvana Zadro Matovinović (član povjerenstva)
Committee memberKarlo Koščević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovome radu razvijena je metoda za automatsko očitavanje fiskalnih računa koja koristi duboko neuronske mreže. Opisane su osnovne značajke neuronskih mreža te konvolucijskih neuronskih mreža. Dan je pregled često korištenih algoritama za detekciju objekata u slikama. Opisan je alat korišten za generiranje korištenog skupa podataka. Opisana je implementacija metode za očitavanje te je dan opis bitnih komponenti metode. Navedene su i opisane metode za evaluaciju metode te rezultati metode na ispitnom skupu.
Abstract (english)
In this paper the method for automatic reading of fiscal receipts was developed using deep convolutional neural networks. Basic characteristics of neural networks and convolutional neural network are described. An overview of commonly used object detection algorithms is given. A tool used for generating data set is described. Also, a description of implementation of method for automatic reading is given along with results for evaluation data set.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:114570
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 on2020-01-07 18:13:10