MCQ assessment using image classification (CNN/BoVW)

版本 1.0.0.2 (7.1 MB) 作者: Mahmoud Afifi
Flexible MCQ assessment system that handles crossed out answers
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更新时间 2019/3/14

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Matlab GUI implementation of the paper "The Achievement of Higher Flexibility in Multiple Choice-based Tests Using Image Classification Techniques".
The source code is provided here for reasonable academic fair use.
More information is provided in the readme file.
If you use this source code, please cite the following paper:
Mahmoud Afifi and Khaled F. Hussain, “The Achievement of Higher Flexibility in Multiple Choice-based Tests Using Image Classification Techniques", International Journal on Document Analysis and Recognition (IJDAR), 2019.

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1.0.0.2

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