Image Segmentation of Historical Handwriting from Palm Leaf Manuscripts

  • Olarik Surinta
  • Rapeeporn Chamchong
Part of the IFIP – The International Federation for Information Processing book series (IFIPAICT, volume 288)

Abstract

Palm leaf manuscripts were one of the earliest forms of written media and were used in Southeast Asia to store early written knowledge about subjects such as medicine, Buddhist doctrine and astrology. Therefore, historical handwritten palm leaf manuscripts are important for people who like to learn about historical documents, because we can learn more experience from them. This paper presents an image segmentation of historical handwriting from palm leaf manuscripts. The process is composed of three steps: 1) background elimination to separate text and background by Otsu’s algorithm 2) line segmentation and 3) character segmentation by histogram of image. The end result is the character’s image. The results from this research may be applied to optical character recognition (OCR) in the future.

Keywords

Palm Leaf Manuscript Image Processing Image Segmentation Background Elimination Otsu’s Algorithm 

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Copyright information

© IFIP International Federation for Information Processing 2008

Authors and Affiliations

  • Olarik Surinta
    • 1
  • Rapeeporn Chamchong
    • 1
  1. 1.Department of Management Information Systems and Computer Science Faculty of InformaticsMahasarakham UniversityMahasarakhamThailand

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