Cooperative text and line-art extraction from a topographic map

Luyang Li, George Nagy, Ashok Samal, Sharad Seth, Yihong Xu

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

14 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 5th International Conference on Document Analysis and Recognition, ICDAR 1999
PublisherIEEE Computer Society
Pages471-474
Number of pages4
ISBN (Electronic)0769503187
DOIs
StatePublished - 1999
Event5th International Conference on Document Analysis and Recognition, ICDAR 1999 - Bangalore, India
Duration: Sep 20 1999Sep 22 1999

Publication series

NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
ISSN (Print)1520-5363

Other

Other5th International Conference on Document Analysis and Recognition, ICDAR 1999
CountryIndia
CityBangalore
Period9/20/999/22/99

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Li, L., Nagy, G., Samal, A., Seth, S., & Xu, Y. (1999). Cooperative text and line-art extraction from a topographic map. In Proceedings of the 5th International Conference on Document Analysis and Recognition, ICDAR 1999 (pp. 471-474). [791826] (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR). IEEE Computer Society. https://doi.org/10.1109/ICDAR.1999.791826