A preprocessing technique for recognition of online handwritten Gurmukhi numerals

Abstract

In this paper, a preprocessing technique involving removal of duplicate points, normalization, interpolation of missing points, sharp point detection, removing hook and smoothing is applied for recognition of online handwritten Gurmukhi numerals. Above stages are performed on the data collected from different persons. It is observed that our preprocessing technique improves feature extraction rate by increasing the accuracy in recognition of some features like hole and junction. © 2011 Springer-Verlag.