Opportunities and Challenges of Handwritten Sanskrit Character Recognition System

Abstract

The rapid growth in the field of internet facilities and digitalization, changes the living way of human being. Due to internet facilities and services, anyone can access data from anywhere. A lot of online data are generating day by day, so that data needs to be processed before extracting the information. Therefore the demand of Natural language Processing (NLP) Techniques has been increased. The Pattern recognition is sub-field of NLP. The field of Pattern Recognition is a branch of machine learning that contributed up to great extent in the Computer Vision and Machine Vision applications. Pattern Recognition is concerned with the recognition of patterns and regularities in data. Handwriting recognition is one of the challenging subtask and current research field under Pattern Recognition, due to different ways of writing and handwriting styles. Handwritten Sanskrit Characters recognition is more complicated than other languages works in online and offline mode, because Sanskrit characters have more consonants and modifiers. In this paper discussed the opportunities and challenges of Handwritten Sanskrit Character Recognition System.