Estimation of Skew Angle from Trilingual Handwritten Documents at Word Level: An Approach Based on Region Props

  • M. RavikumarEmail author
  • B. J. Shivaprasad
  • G. Shivakumar
  • P. G. Rachana
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 898)


In this work, an efficient technique for segmenting the words from multilingual unconstrained handwritten documents at word level is proposed. In the proposed model, morphological operations and connected component analysis are used for word identification. Based on that, the bounding box for each word is drawn and then words are segmented. The proposed algorithm also works on documents with any orientation. We conducted experimentation on our own 300 unconstrained multilingual handwritten documents. The result shows the performance of the proposed algorithm.


Connected component analysis Region props Skew angle 



The authors will acknowledge Dr. D. S. Guru and HPC Laboratory, Dept. of Computer Science, University of Mysore, Mysore, for their encouragement.


Images and the datasets used in this work are our own and not from any other’s work.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • M. Ravikumar
    • 1
    Email author
  • B. J. Shivaprasad
    • 1
  • G. Shivakumar
    • 1
  • P. G. Rachana
    • 1
  1. 1.Department of Computer ScienceKuvempu UniversityShimogaIndia

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