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undergraduate thesis
Očitavanje rukom pisanih studentskih matičnih brojeva
2016. urn:nbn:hr:168:119420
Nakić, Domagoj
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Nakić, D. (2016). Očitavanje rukom pisanih studentskih matičnih brojeva (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:119420

Nakić, Domagoj. "Očitavanje rukom pisanih studentskih matičnih brojeva." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:119420

Nakić, Domagoj. "Očitavanje rukom pisanih studentskih matičnih brojeva." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:119420

Nakić, D. (2016). 'Očitavanje rukom pisanih studentskih matičnih brojeva', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 20 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:119420

Nakić D. Očitavanje rukom pisanih studentskih matičnih brojeva [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2016 [cited 2024 April 20] Available at: https://urn.nsk.hr/urn:nbn:hr:168:119420

D. Nakić, "Očitavanje rukom pisanih studentskih matičnih brojeva", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:168:119420

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Metadata
TitleOčitavanje rukom pisanih studentskih matičnih brojeva
Title (english)Automatic Recognition of Handwritten Student Identifiers
AuthorDomagoj Nakić
MentorMarko Čupić (mentor)
Committee memberMarko Čupić (predsjednik povjerenstva)
Committee memberSiniša Srbljić (član povjerenstva)
Committee memberAlan Jović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2016-09-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu opisan je problem očitavanja rukom pisanih studentskih matičnih brojeva. U radu je opisan cijeli postupak analize skeniranog rukom pisanog matičnog broja, od predobrade slike, preko odvajanja znamenki pa sve do prepoznavanja odvojenih znamenki. Predobrada je napravljena korištenjem algoritama binarizacije (prvenstveno Otsuovom metodom) i stanjivanja (Zhang-Suenovim algoritmom). Susjedne znamenke odvojene su algoritmom projekcija vertikalnih histograma. Prepoznavanje znamenaka obavljeno je pomoću algoritama strojnog učenja, točnije umjetnom neuronskom mrežom. Naposljetku su dani prijedlozi za daljnji rad i poboljšanja rada na problemu.
Abstract (english)
This paper describes the problem of automatic recognition of handwritten student identifiers. All steps in solving the problem were presented: image preprocessing, digit segmentation and digit recognition. We used binarization (primarily Otsu's method) and thinning (Zhang-Suen thinning) algorithms for image preprocessing. Adjacent digits were split using vertical histogram projection algorithm. Artificial neural network was used for digit recognition (classification). Finally, suggestions for further work on the project were given.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:119420
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 on2018-02-06 10:52:48