Handwrite Recognition using Convolutional Neural NetworK

Abstract

Handwriting is a technique of speaking and keeping statistics in normal existence even after the advent of new technologies. A handwritten person is generated with the aid of processing a series of strokes.[3] A shape or a shape-primarily based characterization of the stroke is used wherein a stroke is taken into consideration to be a string of functions of the shape. An input stroke is compared with   strokes gift in the database using a flexible string matching technique.[3] A entire person is identified by way of analyzing all of the stroke additives. The handwritten textual content reputation machine can be  utilized in diverse applications[3]..