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New Segmentation Algorithm for Individual Offline Handwritten Character Segmentation

  • K. B. M. R. Batuwita
  • G. E. M. D. C. Bandara
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3614)

Abstract

Handwritten character recognition has been an intensive research for last decade. 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 the recognition process. This paper describes a new segmentation algorithm for offline handwritten character segmentation, which segments the individual handwritten character skeletons into meaningful segments. Therefore, this algorithm is a good candidate for an offline handwritten character recognition fuzzy system.

Keywords

Segmentation Algorithm Character Recognition Character Segmentation Handwritten Character Adjacent Neighbor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • K. B. M. R. Batuwita
    • 1
  • G. E. M. D. C. Bandara
    • 2
  1. 1.Department of Statistics and Computer Science, Faculty of ScienceUniversity of PeradeniyaPeradeniyaSriLanka
  2. 2.Department of Production Engineering, Faculty of EngineeringUniversity of PeradeniyaPeradeniyaSriLanka

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