Machine Learning: A Review on Supervised Classification Algorithms and their Applications to Optical Character Recognition in Indic Scripts

Abstract

Machine learning is a common application of artificial intelligence, which gives machines the ability to learn from data automatically and improve with experience without being explicitly programmed. Supervised learning is one of two broad areas of machine learning that deal with the task of learning a function for a current model based on past data training on input-output pairs of examples. This function enables the model to predict future outcomes for new inputs. Regression and classification are two supervised machine learning problems. Classification is the most common task that intelligent systems perform most often. This review describes the classification algorithm’s working and its applications to optical character recognition in Indic script. Devanagari and Gurumukhi scripts are chosen for this attempt. The detailed study presented in this article will be helpful to researchers working in the field of optical character recognition to understand where to use which machine learning algorithm for best results.