MCQ assessment using image classification (CNN/BoVW)

Flexible MCQ assessment system that handles crossed out answers
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Actualizado 14 mar 2019

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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.

Compatibilidad con la versión de MATLAB
Se creó con R2016b
Compatible con cualquier versión
Compatibilidad con las plataformas
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Versión Publicado Notas de la versión
1.0.0.2

reference is updated

1.0.0.1

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1.0.0.0

update the reference