Handwritten Telugu Character Recognition Using Machine Learning – A Detailed Survey

Abstract

Telugu language is largest member of the Dravidian language family. Primarily spoken in south-eastern India. The handwritten character recognition of Telugu has wide range of applications in healthcare, administrations, education, Palaeography. However, the Telugu script is very different from English. This makes the use of CNN to recognize the Telugu characters.Converted into several data formats for use in a variety of documents, agreements, and private files. Electronic data uses less financial and physical resources compared to keeping actual files. It saves money and gets rid of the need to find, categorize, and arrange information in paper papers. The paper focuses on research carried out by various researchers in the field of handwritten character recognition of the Telugu using different techniques and algorithms of machine learning. This helps researchers to know the various methods for character recognition in one go. It also gives an idea on the better method to perform the same.