Automatic data capture for geographic information systems

Liang Hua Chen, Hong Yuan Liao, Jiing Yuh Wang, Kuo Chin Fan

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


This paper presents a map interpretation system for automatic extraction of high level information from the scanned images of Chinese land register maps. Our map interpretation system consists of three main components: text/graphics separation, parcel extraction, and rotated character recognition. Our approach to text/graphics separation is based on a simple yet effective rule: the feature points of characters are more compact than those of graphics. In the parcel extraction process, the proposed algorithm traces the branches between feature points to extract polygon structure from line drawings. Our character recognition method is based on the matching of extracted strokes using a neural network. The techniques of text/graphics separation and character recognition are robust to the rotation and writing style of character. Another advantage of our separation algorithm is that it can successfully extract a character connected to graphical line. Experimental results have shown that the proposed system is effective for the data capture of geographic information systems.

Original languageEnglish
Pages (from-to)205-215
Number of pages11
JournalIEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews
Issue number2
StatePublished - 1999


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