New Advancements in Zoning-Based Recognition of Handwritten Characters

Abstract

In handwritten character recognition, zoning is one of the most effective approaches for features extraction. When a zoning method is considered, the pattern image is subdivided into zones each one providing regional information related to a specific part of the pattern. The design of a zoning method concerns the definition of zoning topology and membership function. Both aspects have been recently investigated and new solutions have been proposed, able to increase adaptability of the zoning method to different application requirements. In this paper some of the most recent results in the field of zoning method design are presented and some valuable directions of research are highlighted.