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. It's been a great opportunity to deepen my understanding of computer vision and the practical applications of image processing in educational technology.
Check out the demo in the attached Video!
Looking forward to exploring more in the field of computer vision and AI
| اسم المستقل | Ahmed S. |
| عدد الإعجابات | 1 |
| عدد المشاهدات | 25 |
| تاريخ الإضافة |