Handwritten digit recognition is a problem widely faced by researchers around the world in recent decades. This is a problem that is difficult to implement, due to the large variation that exists in the available writing styles. The problem has been codified by a handwritten digit recognition method that recognizes and classifies the handwritten digits from 0-9 without any human interaction. In this way, the ability of a computer to interpret handwritten input intelligently from a series of images is verified.
Handwritten digit recognition remains a vital sector because of its enormous practical applications and important financial implications. It involves a wide range of practical applications, including the recognition of online spelling on tablet computers, recognition of the zip code to help sort sent mail, and as the verification of signatures...