Automatic assembling of cadastral maps based on generalized hough transformation

Fei Liu, Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimura

Research output: Chapter in Book/Report/Conference proceedingConference contribution


There are numerous cadastral maps generated by past land surveying. The raster digitization of these paper maps is in progress. For effective and efficient use of these maps, we have to assemble the set of maps to make them superimposable on other geographic information in a Geographic Information System. The problem can be seen as a complex jigsaw puzzle where the pieces are the cadastre sections extracted from the map. We present an automatic solution to this geographic jigsaw puzzle, based on the generalized Hough transformation that detects the longest common boundary between every piece and its neighbors. The experiments have been conducted using the map of Mie Prefecture, Japan and the French cadastral map. The results of the experiment with the French cadastral maps show that the proposed method, which consists of extracting an external area and extracting and regularizing the north arrow, is suitable for assembling the cadastral map. The final goal of the process is to integrate every piece of the puzzle into a national geographic reference frame and database.

Original languageEnglish
Title of host publicationDocument Analysis Systems VII - 7th International Workshop, DAS 2006, Proceedings
PublisherSpringer Verlag
Number of pages11
ISBN (Print)3540321403, 9783540321408
Publication statusPublished - 2006
Externally publishedYes
Event7th International Workshop on Document Analysis Systems, DAS 2006 - Nelson, New Zealand
Duration: Feb 13 2006Feb 15 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3872 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other7th International Workshop on Document Analysis Systems, DAS 2006
Country/TerritoryNew Zealand

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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