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master's thesis
Sustav za automatsko očitavanje rukom pisanih ispravaka odgovora na ispitnom obrascu
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:282968
Cerovac, Matea
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Cerovac, M. (2017). Sustav za automatsko očitavanje rukom pisanih ispravaka odgovora na ispitnom obrascu (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:282968

Cerovac, Matea. "Sustav za automatsko očitavanje rukom pisanih ispravaka odgovora na ispitnom obrascu." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:282968

Cerovac, Matea. "Sustav za automatsko očitavanje rukom pisanih ispravaka odgovora na ispitnom obrascu." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:282968

Cerovac, M. (2017). 'Sustav za automatsko očitavanje rukom pisanih ispravaka odgovora na ispitnom obrascu', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 16 February 2025, https://urn.nsk.hr/urn:nbn:hr:168:282968

Cerovac M. Sustav za automatsko očitavanje rukom pisanih ispravaka odgovora na ispitnom obrascu [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2025 February 16] Available at: https://urn.nsk.hr/urn:nbn:hr:168:282968

M. Cerovac, "Sustav za automatsko očitavanje rukom pisanih ispravaka odgovora na ispitnom obrascu", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:282968

Metadata
TitleSustav za automatsko očitavanje rukom pisanih ispravaka odgovora na ispitnom obrascu
Title (english)System for Automated Recognition of Handwritten Corrections for Multiple Choice Answer Sheets
AuthorMatea Cerovac
MentorZoran Kalafatić (mentor)
Committee memberZoran Kalafatić (predsjednik povjerenstva)
Committee memberTomislav Hrkać (član povjerenstva)
Committee memberAlan Jović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-18, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Na pojedinim kolegijima Fakulteta elektrotehnike i računarstva koriste se ispitni obrasci s mogućnošću zacrnjivanja odgovora. S obzirom da studenti ponekad pogriješe, postoji mogućnost ispravka odgovora upisivanjem znaka željenog odgovora u predviđeno polje. Takvi ispravci otežavaju proces automatiziranog ocjenjivanja, jer se od ispravljača ispita koji koristi postojeći sustav traži očitavanje i ručni unos popravljenog odgovora. Kako bi se smanjila potreba za takvim postupkom, treba osmisliti i testirati metodu automatiziranog očitavanja ispravaka u obrascu, u vidu klasifikacije konvolucijskom neuronskom mrežom. Za testiranje spomenute metode klasifikacije, pripremljen je skup podataka za učenje i testiranje sustava te su analizirani dobiveni rezultati.
Abstract (english)
For some courses at Faculty of Electrical Engineering and Computing there exist multiple-choice exam forms that are annotated by students. The process of annotation by the students is sometimes prone to errors, so the students have possibility to alter their answer by writing correction to a predefined area in the form. Those corrections complicate the process of automated grading, because the system needs help of an operator for manual recognition and input of the corrections added on the form. In order to simplify the process of the manual input of the corrections, a method for recognition for the corrections is given in form of a classification by the use of a convolutional neural network. In order to test the mentioned method, a training and testing dataset is manually prepared and the results are analyzed.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:282968
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 on2019-03-13 19:34:21