HandWritten Digit Prediction Using Machine Learning

Abstract Handwriting recognition has been an active and challenging area. Handwriting recognition system plays a very important role in today’s world. At present time it is very difficult to find the correct meaning of handwritten documents as different people have different ways of writing digits or texts. There are many areas where we need to recognize the words, alphabets and digits like postal addresses, bank cheques etc. The main aim of this project is to make a GUI based application that allows users to predict the digits drawn on the interface using machine learning and shows the results in percentage how likely the prediction is correct. The project will be built using python and the application will be trained with the help of dataset from MNIST using linear regression algorithm