MCQ assessment using image classification (CNN/BoVW)
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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- Image Processing and Computer Vision > Computer Vision Toolbox > Feature Detection and Extraction >
- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Image Quality >
- Image Processing and Computer Vision > Image Processing Toolbox > Image Filtering and Enhancement > Watermarking >
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Version | Publié le | Notes de version | |
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1.0.0.2 | reference is updated |
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1.0.0.1 | . |
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1.0.0.0 | update the reference |