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master's thesis
Sustav za automatsko očitavanje rukom pisanih ispravaka odgovora na ispitnim obrascima
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:022218
Jakšić, Domagoj
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Jakšić, D. (2021). Sustav za automatsko očitavanje rukom pisanih ispravaka odgovora na ispitnim obrascima (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:022218

Jakšić, Domagoj. "Sustav za automatsko očitavanje rukom pisanih ispravaka odgovora na ispitnim obrascima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:022218

Jakšić, Domagoj. "Sustav za automatsko očitavanje rukom pisanih ispravaka odgovora na ispitnim obrascima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:022218

Jakšić, D. (2021). 'Sustav za automatsko očitavanje rukom pisanih ispravaka odgovora na ispitnim obrascima', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 15 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:022218

Jakšić D. Sustav za automatsko očitavanje rukom pisanih ispravaka odgovora na ispitnim obrascima [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 May 15] Available at: https://urn.nsk.hr/urn:nbn:hr:168:022218

D. Jakšić, "Sustav za automatsko očitavanje rukom pisanih ispravaka odgovora na ispitnim obrascima", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:022218

Metadata
TitleSustav za automatsko očitavanje rukom pisanih ispravaka odgovora na ispitnim obrascima
Title (english)System for Automated Recognition of Handwritten Corrections for Multiple Choice Answer Sheets
AuthorDomagoj Jakšić
MentorZoran Kalafatić (mentor)
Committee memberZoran Kalafatić (predsjednik povjerenstva)
Committee memberTomislav Hrkać (član povjerenstva)
Committee memberAnte Đerek (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U procesu ispunjavanja ispitnih obrazaca s pitanjima s više ponuđenih odgovora studenti ponekad pogriješe. Pogrešni unosi odgovora se mogu ispraviti upisivanjem slovne oznake željenog odgovora u za to predviđenu tablicu ispravaka. Rukom upisani ispravci odgovora otežavaju proces automatiziranog ocjenjivanja ispita jer ih operater treba ručno očitati te unijeti ispravljeni odgovor u postojeći sustav. U sklopu ovog diplomskog rada razvijen je sustav za automatsko očitavanje rukom pisanih ispravaka odgovora na ispitnim obrascima. U radu je pružen uvid u korištene skupove podataka za učenje i testiranje sustava. Potom su detaljno objašnjeni postupci normalizacije zakrenutosti ispitnog obrasca, detekcije tablice ispravaka u ispitnom obrascu te detekcije polja tablice ispravaka. U radu su predstavljeni modeli koji raspoznaju koja slovna oznaka je upisana u detektirano polje tablice ispravaka odgovora. Uz arhitekturu modela, navedeni su rezultati koje modeli postižu na testnom skupu ispitnih obrazaca.
Abstract (english)
In the process of filling out the exam sheets with questions with multiple choice answers, students sometimes make mistakes. Incorrect entries of the answers can be corrected by entering the letter label of the desired answer in the correction table. Handwritten answer corrections complicate the process of automated exam evaluation because the operator needs to manually review them and enter the corrected answer into the existing system. As a part of this graduate thesis, a system for automated recognition of handwritten corrections for multiple-choice answer sheets has been developed. The thesis provides an insight into the used data sets for training and testing the system. Furthermore, the procedures for normalizing the rotation of the exam sheet, detecting the answer correction table in the exam sheet, and detecting the answer correction table fields are explained in detail. Models that recognize which letter label is written in the detected field of the answer correction table are also presented in the thesis. In addition to the model architecture, the results that the models achieved on the test set of the exam sheets are listed.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:022218
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 on2023-01-13 12:29:41