Abstract
Artificial immune system is computational system inspired by the principles and processes of the vertebrate immune system. It has been applied gradually in many fields upon powerful abilities of information processing and problem solution. In this paper, handwritten Russian uppercase character recognition strategy using artificial immune system was proposed and carefully experimented. With 36 feature coefficients extracted from 36*36 handwritten Russian uppercase character image using 6*6 sub-meshing and 14 contour coefficients as its feature vector, 33 antibody libraries for 33 character category were trained and built to recognize handwritten Russian uppercase characters with artificial immune algorithm. The contrast experiment was done using BP neural network. The experimental results indicated that the artificial immune system model has more advantages than BP neural network in handwritten Russian uppercase character recognition.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call