prikaz prve stranice dokumenta Očitavanje rukom pisanih decimalnih brojeva temeljeno na dubokim modelima
No public access
master's thesis
Očitavanje rukom pisanih decimalnih brojeva temeljeno na dubokim modelima
2019. urn:nbn:hr:168:262525
Dugonjić, Stjepan
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Dugonjić, S. (2019). Očitavanje rukom pisanih decimalnih brojeva temeljeno na dubokim modelima (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:262525

Dugonjić, Stjepan. "Očitavanje rukom pisanih decimalnih brojeva temeljeno na dubokim modelima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:262525

Dugonjić, Stjepan. "Očitavanje rukom pisanih decimalnih brojeva temeljeno na dubokim modelima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:262525

Dugonjić, S. (2019). 'Očitavanje rukom pisanih decimalnih brojeva temeljeno na dubokim modelima', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:262525

Dugonjić S. Očitavanje rukom pisanih decimalnih brojeva temeljeno na dubokim modelima [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 December 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:262525

S. Dugonjić, "Očitavanje rukom pisanih decimalnih brojeva temeljeno na dubokim modelima", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:262525

Please login to the repository to save this object to your list.
Metadata
TitleOčitavanje rukom pisanih decimalnih brojeva temeljeno na dubokim modelima
Title (english)Deep Models Based Recognition of Decimal Numbers
AuthorStjepan Dugonjić
MentorMarko Čupić (mentor)
Committee memberMarko Čupić (predsjednik povjerenstva)
Committee memberŽeljka Mihajlović (član povjerenstva)
Committee memberDomagoj Jakobović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Problemi analize i obrade slike dio su brojnih grana ljudske djelatnosti. Poseban izazov predstavljaju problemi u kojima se sa slike nastoji očitati rukom pisani tekst. U ovom se radu razmatra segmentacijski pristup očitavanju takvih znakova pomoću dubokih modela. Ispituje se sposobnost takvog sustava na konkretnom primjeru očitavanja rukom pisanih decimalnih brojeva. Prikazani su i komentirani dobiveni rezultati te je dan kratak opis funkcionalnosti razvijenog grafičkog sučelja.
Abstract (english)
Image analysis and processing problems are present in numerous human activities. Most challenging ones involve optical character recognition, specifically recognition of handwritten characters. This thesis covers segmentation-based approach to that kind of problems using the power of deep models. Capabilities of such systems are tested on real problem that involves recognition of handwritten decimal numbers. Results are shown and commented and short description of developed graphical user interface is presented.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:262525
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
Terms of useLicence In copyright icon
Public note
Created on2020-01-07 17:44:10