Optical Mark Recognition (OMR) application using only image processing techniques with OpenCV and NumPy.
The goal was to accurately detect and evaluate multiple-choice answers on standard OMR sheets. By leveraging image processing.
The project challenged me to optimize the detection algorithms for different lighting conditions and sheet alignments.
| اسم المستقل | Ahmed S. |
| عدد الإعجابات | 2 |
| عدد المشاهدات | 53 |
| تاريخ الإضافة |
