In this project, using image processing techniques in Python, the marked options of the answer sheet are recognized.
This project is optimized to detect answer sheets with the following difficult conditions:
- 100% accuracy in detecting completely blackened or completely white options
- 100% accuracy in detecting suspicious options
- Ability to process input image with 90 or 180 degree angle
- Ability to process input images with noise
- Ability to process incoming images with low ink
- Ability to apply the algorithm to answer sheets with different number of questions
- Ability to detect and identify QR-Code
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