NDLI: A re-assembling scheme of fragmented Mokkan images

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A re-assembling scheme of fragmented Mokkan images

Content Provider	ACM Digital Library
Author	Van Phan, Truyen Watanabe, Akihiro Nakagawa, Masaki Baba, Hajime
Abstract	Historical documents are invaluable to study the society and culture in old ages everywhere in the world. In Japan, unearthed wooden tablets called Mokkan excavated from ancient palace sites and so on in the Nara period provide important clues to know the era. Since most of unearthed Mokkan have been badly damaged and broken into several pieces, however, it is extremely difficult even for experts to extract characters on fragmented Mokkan. In this paper, we propose a digital image reassembling scheme for fragmented Mokkan so that broken character images are reassembled and written content is analyzed. The proposed scheme consists of two steps: an image grouping using color features and an image reassembling using local tangent and curvature functions of the fragment contours. After the grouping process, fragment images with the same color features are clustered. Then, in the reassembling step, candidate matching pairs for adjacent fragment images in the same group are listed. We also provide a user interface for archeologists to verify the results. As a result, the system helps archaeologists reconstruct Mokkan images so that they can decode them.
Starting Page	22
Ending Page	28
Page Count	7
File Format	PDF
ISBN	9781450321150
DOI	10.1145/2501115.2501122
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-08-24
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Curve matching Reassembling Digital archiving Image clustering Historical document
Content Type	Text
Resource Type	Article

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