Mastering OpenCV 4 with Python

Handwritten digit recognition using SVM

We just saw how to perform handwritten digit recognition using the kNN classifier. The best accuracy was obtained by preprocessing the digits (recall the deskew() function) and computing the HOG descriptor as the feature vector used to describe each digit. Therefore, for the sake of simplicity, the next scripts, which are going to make use of SVM to classify the digits, will use the aforementioned approximation (preprocessing and HOG features).

The svm_handwritten_digits_recognition_preprocessing_hog.py script performs the handwritten digit recognition using SVM classification. The key code is shown as follows:

# Load all the digits and the corresponding labels:digits, labels = load_digits_and_labels( ...