Introduction - If you have any usage issues, please Google them yourself
(1) the image gray scale with two values
(2) denoising, then cut into a character
(3) extract features for each character, generating a feature vector or feature matrix
(4) classification and learning. The feature vector or feature matrix and sample database to compare, select the type of the similar sample, this kind of sample values as output results.