We are going to see how to perform handwritten digit recognition using the kNN classifier. We will start with a basic script that achieves an acceptable accuracy, and we will modify it to increase its performance.
In these scripts, the training data is composed of handwritten digits. Instead of having many images, OpenCV provides a big image with handwritten digits inside. This image has a size of 2,000 x 1,000 pixels. Each digit is 20 x 20 pixels. Therefore, we have a total of 5,000 digits (100 x 50):
In the knn_handwritten_digits_recognition_introduction.py script, we are going to ...
