A Multiple-Choice Test Recognition System Based on Android and RBFNN Article Swipe
Dion Krisnadi
,
Aditya Mitra
,
Ririn Ikana Desanti
,
Wiratama Dharma Ciputra
,
Hery Hery
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.12783/dtcse/cmsam2017/16423
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.12783/dtcse/cmsam2017/16423
Optical Mark Recognition (OMR) is often used by teachers to help mark students’ test in the form of multiple-choice test. This article describes how to build an offline OMR system which run in Android based smartphone. The input is the digital image of student’s answer sheet which was taken from smartphone’s camera. The system implements image processing techniques to detect and determine not only student’s handwritten for his/her ID, name, and form’s ID, but also for the answer of each test number. Gradient feature is used as features for the handwritten parts, while pixel density and area are used for the marked parts. Radial Basis Function Neural Network (RBFNN) is implemented to recognize of the students’ handwriting. The experiment result shows that the system has successfully identified the answers with 99.69% success rates, but only has 82.28% and 72.25% success rates for digits and uppercase letters recognition respectively.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.12783/dtcse/cmsam2017/16423
- http://dpi-proceedings.com/index.php/dtcse/article/download/16423/15930
- OA Status
- bronze
- Cited By
- 4
- References
- 4
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2772943180
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2772943180Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.12783/dtcse/cmsam2017/16423Digital Object Identifier
- Title
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A Multiple-Choice Test Recognition System Based on Android and RBFNNWork title
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articleOpenAlex work type
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enPrimary language
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2017Year of publication
- Publication date
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2017-12-06Full publication date if available
- Authors
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Dion Krisnadi, Aditya Mitra, Ririn Ikana Desanti, Wiratama Dharma Ciputra, Hery HeryList of authors in order
- Landing page
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https://doi.org/10.12783/dtcse/cmsam2017/16423Publisher landing page
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https://dpi-proceedings.com/index.php/dtcse/article/download/16423/15930Direct link to full text PDF
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://dpi-proceedings.com/index.php/dtcse/article/download/16423/15930Direct OA link when available
- Concepts
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Handwriting, Computer science, Android (operating system), Artificial intelligence, Test (biology), Pixel, Speech recognition, Pattern recognition (psychology), Computer vision, Operating system, Paleontology, BiologyTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2024: 1, 2023: 1, 2022: 1, 2018: 1Per-year citation counts (last 5 years)
- References (count)
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4Number of works referenced by this work
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-
10Other works algorithmically related by OpenAlex
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