Handwritten Character Recognition using Machine Learning

Handwritten character recognition(HCR) is a technique of making handwritten writing understandable by a computer. This research paper offers a thorough review of English-language handwritten character recognition. The banking and healtheare industries, among many other places that deal with handwritten employed in recent research in this field, features, and classifiers to make handwritten text recognition easier. The primary goal of doing this research paper is to build expert system for, “HCR using Machine Learning” that can effectivelly recognize a particular character of type format using the K materials, have used the handwritten character recognition technology in many different uses. Even if it’s the same author the identical character, there are changes in the character’s size, form, and placement since every writer has a different handwriting style. Numerous techniques have been Nearest Neighbours (KNN) algorithm and neural networks. When compared to, the planned recognition system performs fairly well and attains better levels of recognition accuracy. those using the traditional feature extraction techniques of horizontal and vertical.