Simplifying Handwritten Characters Recognition Using a Particle Swarm Optimization Approach
Majida Ali Abed, Hamid Alasadi · SSRN Electronic Journal · 2013
This manuscript considers a new approach to Simplifying Handwritten Characters Recognition based on simulation of the behavior of schools of fish and flocks of birds, called the Particle Swarm Optimization Approach (PSOA). We present an overview of the proposed approaches to be optimized and tested on a number of handwritten characters in the experiments. Our experimental results demonstrate the higher degree of performance of the proposed approaches. It is noted that the PSOA in general generates an optimized comparison between the input samples and database samples which improves the final recognition rate. Experimental results show that the PSOA is convergent and more accurate in solutions that minimize the error recognition rate.