Hierarchical Character Grouping and Recognition of Character Using Character Intensity Code

  • V. C. Bharathi
  • M. Kalaiselvi Geetha
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 325)


This paper presents an approach for grouping and recognition of handwritten characters. The approach uses an efficient feature called character intensity code (CIC). A hierarchical recognition methodology based on the structural details of the characters is adopted. At the first level, similar structured characters are grouped together, and the second level is used for individual character recognition. Support vector machine is used for classification which achieves an overall accuracy of 93.61 %.


Handwritten character recognition Segmentation Character intensity code (CIC) Hierarchical character clustering Support vector machine 


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Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringAnnamalai UniversityChidambaramIndia

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