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Quiz corrector: Handwritten digits recognition
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
2013 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

In this project, I want to produce a software method, which can correct quiz papers.Quizzes are multiple-choice questions and the participant should write her/his personal number on the quiz form. Since the Swedish personal numbers are unique, it is sufficient to recognize them to establish the identity of the quiz-participant.  Recognition of this number is important also for correcting the quiz, since the questions and/or answers can be adapted to each participant.  The issue is thus to recognize hand written numerals on quiz-forms.   I used image processing to find suitable features for automatic classification relying on; Logistic regression, or Neural network.

Place, publisher, year, edition, pages
2013. , 56 p.
URN: urn:nbn:se:hh:diva-21615Local ID: IDE1278OAI: diva2:610246
Subject / course
Computer science and engineering
E5, Halmstad university, Halmstad (English)
Available from: 2013-03-18 Created: 2013-03-09 Last updated: 2013-03-18Bibliographically approved

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Masrour, Mohsen
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