The above project checks the quality of the image sent and classifies it into whether the image is very good, good, bad or very bad before it is sent into the OCR technology for text extraction thus rejecting the image if the quality doesnt meet the standard of the same
The accuracy of the above project is 80 percent and the execution time is below 1 second.
Numpy, Pandas, Sklearn, CV2, Pickle
The dataset has been included in the repository.