Cooperative Text and Line Art Extraction from a Topographic Map

Authors

Luyang Li, Panasocic Information and Networking LaboratoriesFollow
George Nagy, Rensselaer Polytechnic InstituteFollow
Ashok Samal, University of Nebraska-LincolnFollow
Sharad C. Seth, University of Nebraska-LincolnFollow
Yihong Xu, Hewlett-PackardFollow

Date of this Version

1999

Comments

Published in the Proceedings of the Fifth International Conference on Document Analysis and Recognition (1999): 467-470. Copyright 1999, IEEE. Used by permission.

Abstract

The black layer is digitized from a USGS topographic map digitized at 1000 dpi. The connected components of this layer are analyzed and separated into line art, text, and icons in two passes. The paired street casings are converted to polylines by vectorization and associated with street labels from the character recognition phase. The accuracy of character recognition is shown to improve by taking account of the frequently occurring overlap of line art with street labels. The experiments show that complete vectorization of the black line-layer bitmap is the major remaining problem.