A Survey on Handwritten Character Recognition using Machine Learning Technique

Authors

Thatikonda Somashekar
Research Scholar, Department of Computer Science & Engineering, University College of Engineering(A), Osmania, University, Hyderabad, Telangana, India.

Abstract

Due to its broad range of applications, handwritten character recognition is widespread. Processing application forms, digitizing ancient articles, processing postal addresses, processing bank checks, and many other handwritten character processing fields are increasing in popularity. Since the last three decades, handwritten characters have drawn the attention of researchers. For successful recognition, several methods have been suggested. This paper presents a comprehensive overview of handwritten character recognition using a neural network as a machine learning tool.