MCQ assessment using image classification (CNN/BoVW)

Version 1.0.0.2 (7.13 MB) by Mahmoud Afifi
Flexible MCQ assessment system that handles crossed out answers
5.0
(1)
256 Downloads
Updated 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.

MATLAB Release Compatibility
Created with R2016b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.0.0.2

reference is updated
1.0.0.1

.
1.0.0.0

update the reference