Meaningful Segmentation of Offline Individual Handwritten Numeric Characters

Fuzzy logic plays a vital role in handwriting recognition, since a fuzzy character recognition system with an automatically generated rule base possesses the features of flexibility, efficiency and online adaptability. One of the major requirements of such a fuzzy system is the segmentation of individual characters into meaningful segments. Then these segments can be used for the extraction of fuzzy features of the handwritten characters. This paper describes two algorithms for the meaningful segmentation of individual offline handwritten numeric skeletons.