Machine Learning Based Handwritten Text Recognition System for Postal Address Identification

Abstract

Currently, dealing with the enormous variety of handwriting styles is a major issue in society, and we face more challenges. Blind people are facing a lot of problems reading the material, and a few people wrote the details in cheque books, which are not understandable. Handwritten text recognition is an important task in the field of image processing. It is very important to recognise handwritten characters that are available on a piece of paper, such as pin codes, place names, forensics, filled forms, and cheque books and old papers. In this view, this work has been framed to process the handwritten English characters in the form of images and, with the help of machine learning algorithms, handwritten text was predicted. This work will be very useful even for village people who are struggling to read the text in the document. Using the real time data set that was collected, simulation was done using machine learning algorithms, and the results were discussed.