A Survey on Approaches for Recognition of Dravidian Tulu Script

Abstract

Handwritten script recognition is a interesting task that has been widely researched in the arena of computer vision and image processing. Tulu language is a Dravidian language spoken in coastal regions of Southern part of India. Recognition of Tulu handwritten scripts is important for preserving cultural heritage, historical documents, and facilitating communication among native speakers. This survey paper provides an overview of the existing tactics for recognition of Tulu scripts. We present a comprehensive review of the literature on various methods such as feature extraction, segmentation, classification, and deep learning techniques used for Tulu script recognition. The paper also discusses the challenges associated with Tulu script recognition and highlights the future research directions in this area. Key Words: Tulu, Handwritten script recognition, Feature extraction, Segmentation, Classification, Deep learning