OPTICAL CHARACTER RECOGNITION METHODS TO RECOGNISE HANDWRITTEN DIGITS

Abstract

Handwritten Digit Recognition (HDR) is one of the most difficult issues in the world of Optical Character Recognition (OCR). There are some challenges with HDR regardless of language, most of which result from differences in writing styles between people, writing media, and environments, inability to retain the same strokes while repeatedly writing any digit, etc. OCR (Optical Character Recognition), which recognises characters and digitises printed texts, is a common component of real-time applications. In the past, it was difficult to convert handwritten numbers to digital characters. Without transforming the physical papers to digital versions, which takes a large amount of time and effort, the physical documents cannot be processed effectively. A number of methods and techniques have been proposed throughout the years to solve the challenge of handwriting classification. The goal of this study is to accurately estimate the identity of a digit by giving the computer a handwritten representation of the digit.