Thai handwritten character recognition by Euclidean distance

Abstract

This research applied the Euclidean distance technique to generate a system of Thai handwritten character recognition. The system consists of four main components which include: 1) Image Acquisition, 2) Image Pre-processing, 3) Recognition, and 4) Display Result. All training and testing handwritten characters in this research used all Thai native people to write them for avoiding invalid shape of Thai character. The character images fed to the training part totaling 3,513 characters. Out of 878 Thai handwritten characters tested, it was found that the system could recognize (accept) 716 characters or 81.55%, while rejecting 61 characters or 6.95% and misrecognizing 101 characters or 11.50%. We tested the system with 50 Japanese handwritten characters and 25 invalid Thai handwritten character shape, it was found that the system could reject 47 characters or 62.67% while misrecognizing 28 characters or 37.33%. © 2010 Copyright SPIE - The International Society for Optical Engineering.