Digit-Recognition-System

Digit recognition system is the working of a machine to train itself or recognizing the digits from different sources like emails, bank cheque, papers, images, etc. and in different real-world scenarios for online handwriting recognition on computer tablets or system, recognize number plates of vehicles, processing bank cheque amounts, numeric entries in forms filled up by hand .

Dataset

MNIST ("Modified National Institute of Standards and Technology") handwritten Images of Digits

Accuracy of this model : 99.7%

Algorithm used : Deep Learning : Convolutional Neural Networks

Technology used :

Python,Pandas,Sklearn,Keras