Elastic structural matching for online handwritten alphanumeric character recognition

Abstract

We propose a simple yet robust structural approach for recognizing online handwriting. Our approach is designed to achieve reasonable speed, fairly high accuracy and sufficient tolerance to variations. Experimental results show that the recognition rates are 98.60% for digits, 98.49% for uppercase letters, 97.44% for lowercase letters, and 97.40% for the combined set. When the rejected cases are excluded from the calculation, the rates can be increased to 99.93%, 99.53%, 98.55% and 98.07%, respectively. On the average, the recognition speed is about 7.5 characters per second running in Prolog on a Sun SPARC 10 Unix workstation and the memory requirement is reasonably low.