Paper Key : IRJ************297
Author: Dr. Vishalkumar Ashokbhai Naik,Heli S. Mehta
Date Published: 12 Oct 2023
Abstract
In this paper, we present a review for online handwritten character recognition by comparing various pre-processor, feature extraction methods and algorithms for Indian languages, language wise performance of the system is also compared. A review for online handwritten word recognition is also presented with various algorithms and post-processing methods for Indian languages. Performance of various systems and languages are described like Gujarati with 91.5%, Bangla with 97.89%, Gurmukhi with 99.3%, Assamese with 95.07% and Hindi with 90.78% accuracy .
DOI LINK : 10.56726/IRJMETS45209 https://www.doi.org/10.56726/IRJMETS45209