Abstract

Map labels provide valuable geographic information by annotating geographic phenomenona with text descriptions. However, many interesting and useful maps are only available as images and hence this information is not readily accessible in a Geographic Information System (GIS). Previous work on text recognition in maps considers maps as a special type of image to be processed using Optical Character Recognition (OCR) techniques and does not pay attention to the typical workflows in a GIS. As a result, to convert map labels into machine-readable text, a user has to switch between OCR and GIS software, transform the detected text locations from the image coordinates (in OCR) to the map coordinates (in GIS), and apply data import/export procedures. This tedious process limits the opportunity to access text information in maps. This paper presents ArcStrabo, an integration of our previous text recognition …

Date

November 4, 2014

Authors

Yao-Yi Chiang, Sima Moghaddam, Sanjauli Gupta, Renuka Fernandes, Craig A Knoblock

Book

Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

Pages

581-584