Review on Deep Learning Handwritten Digit Recognition using Convolutional Neural Network

In this digital world, everything including documents, notes is kept in form. The requirement of converting these documents into processed information demand. This process called as Handwritten digit recognition (HDR). scan document and classified to identify the hand written words text so that it can be used keep format means computerized font everybody read properly. paper, discussed classifiers like KNN, SVM, CNN are for HDR. These trained with some predefined dataset then any computer format. scanned passed through four different stages where image preprocessed, segmented recognized by classifier. MNIST training purpose. Complete classifier paper. It found very accurate HDR but still there a scope improve performance terms accuracy, complexity timing.