Analysis of Segmentation Methods on Isolated Balinese Characters from Palm Leaf Manuscripts

  • Deepak Kumar
  • K. Vatsala
  • Sushmitha Pattanashetty
  • S. Sandhya
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 801)

Abstract

Segmentation of an image is a complex process when image has to be divided into constituent and meaningful parts. In case of a clean image, the segmentation process is an easy task due to distinct foreground and background within the image. Whereas, the images captured or scanned from palm leaf manuscripts, the segmentation process is more complex and complicated. In this paper, we have used the individual characters from the palm leaf manuscript for segmentation. We have chosen multiple segmentation algorithms to perform segmentation of isolated Balinese characters. We evaluate the performance of all the algorithms on AMADI_Lontarset dataset. From our analysis, we observe that a global thresholding approach provides good segmentation on the set of analyzed images over the local thresholding approach.

Keywords

Palm leaf manuscript Isolated character segmentation Segmentation Balinese script Performance evaluation 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Dayananda Sagar Academy of Technology and Management (DSATM)BengaluruIndia

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