HANDWRITTEN DIGIT RECOGNITION USING MACHINE LEARNING ALGORITHM









Abstract

The handwritten number recognition is the capability of computer operations to fete the mortal jotting styles or handwritten integers. It's a hard task for the machine because handwritten integers aren't perfect and can be made with numerous different shapes and sizes. The handwritten number recognition system is a way to break this problem which uses the image of a number and recognizes the number present in the image. The handwritten character and number recognition have been one of the most clamant and absorbing field of pattern recognition and image processing. The main end of this paper is to demonstrate and represent the work which is related to hand written number recognition. The hand written number recognition is veritably clamant task. In this recognition task, the figures aren't directly written or scripted as they differ in shape or size; due to which the point birth and segmentation of hand written numerical script is laborious. We aren't using any pre-collected images of number. But we will prognosticate images live drawn in makeup, so for this we've to collecting images from makeup by our own.


Modules


Algorithms


Software And Hardware