@inproceedings{0f33864d7fcd4e3f82460e19ea04876c,
title = "Generating named road vector data from raster maps",
abstract = "Raster maps contain rich road information, such as the topology and names of roads, but this information is {"}locked{"} in images and inaccessible in a geographic information system (GIS). Previous approaches for road extraction from raster maps typically handle this problem as raster-to-vector conversion and hence the extracted road vector data are line segments without the knowledge of road names and where a road starts and ends. This paper presents a technique that builds on the results from our previous road vectorization and text recognition work to generate named road vector data from raster maps. This technique first segments road vectorization results using road intersections to determine the lines that represent individual roads in the map. Then the technique exploits spatial relationships between roads and recognized text labels to generate road names for individual road segments. We implemented this approach in our map processing system, called Strabo, and demonstrate that the system generates accurate named road vector data on example maps with 92.83% accuracy.",
keywords = "Raster map, map labeling, named road vector data, road vectorization, text recognition",
author = "Chiang, {Yao Yi} and Knoblock, {Craig A.}",
year = "2012",
doi = "10.1007/978-3-642-33024-7_5",
language = "English (US)",
isbn = "9783642330230",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "57--71",
booktitle = "Geographic Information Science - 7th International Conference, GIScience 2012, Proceedings",
note = "7th International Conference on Geographic Information Science, GIScience 2012 ; Conference date: 18-09-2012 Through 21-09-2012",
}