An Improved Segmentation Algorithm for Individual Offline Handwritten Character Segmentation

Handwritten character recognition has been an intensive research in artificial intelligence for last decades. A handwritten character recognition fuzzy system with an automatically generated rule base possesses the features of flexibility, efficiency and online adaptability. A major requirement of such a fuzzy system for either online or offline handwritten character recognition is, the segmentation of individual characters into meaningful segments. Then these segments can be used for the calculation of fuzzy features and then these features can be used for the recognition of characters. This paper presents an improved segmentation algorithm for individual offline handwritten character segmentation. This proposed algorithm guarantees the segmentation of individual handwritten character skeletons into meaningful segments, avoiding the problems of over-segmentation and under-segmentation