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inria-00112657, version 1

Damaged Character Pattern Recognition on Wooden Tablets Excavated from The Heijyo Palace Site

Masaki Nakagawa () 1, Kei Saito () 1, Akihito Kitadai () 1, Junko Tokuno () 1, Hajime Baba () 2, Akihiro Watanabe () 2

Tenth International Workshop on Frontiers in Handwriting Recognition (2006)

Abstract: This paper describes damaged character pattern recognition on wooden tablets excavated from the Heijyo palace site (the ancient palace in the Nara period from AD. 710 to 794). Since most of excavated tablets have been stained, damaged, and sometimes broken into pieces, it is extremely difficult even for archaeologists to read characters from badly blurred or missing ink on tablets. The aim of the character recognition is to output candidates even for degraded or partially lost character patterns in order to give hints to human expert readers rather than to read handwritten characters at the maximum speed. We propose a method that applies nonlinear normalization and feature extraction for ternary character pattern images with gray missing area supplemented by readers. The proposed method realizes 60.2% as the 10th cumulative rate for 2,108 character patterns extracted from wooden tablets with partial damages applied artificially. This result is better than the result of the previous method.

  • 1:  Tokyo University of Agriculture and Technology
  • Tokyo University of Agriculture and Technology
  • 2:  National Research Institute for Cultural Properties
  • National Research Institute for Cultural Properties
  • Domain : Computer Science/Document and Text Processing
    Computer Science/Computer Vision and Pattern Recognition
  • Keywords : Historical document processing – character recognition – image processing – non-linear normalization – feature extraction
  • Comment : http://www.suvisoft.com
 
  • inria-00112657, version 1
  • oai:hal.inria.fr:inria-00112657
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  • Submitted on: Thursday, 9 November 2006 14:42:50
  • Updated on: Thursday, 9 November 2006 16:48:43