Cooperative text and line-art extraction from a topographic map

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

doi:10.1109/ICDAR.1999.791826

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 proceeding › Conference contribution

16 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 language	English (US)
Title of host publication	Proceedings of the 5th International Conference on Document Analysis and Recognition, ICDAR 1999
Publisher	IEEE Computer Society
Pages	471-474
Number of pages	4
ISBN (Electronic)	0769503187
DOIs	https://doi.org/10.1109/ICDAR.1999.791826
State	Published - 1999
Event	5th International Conference on Document Analysis and Recognition, ICDAR 1999 - Bangalore, India Duration: Sep 20 1999 → Sep 22 1999

Publication series

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

Other

Other	5th International Conference on Document Analysis and Recognition, ICDAR 1999
Country/Territory	India
City	Bangalore
Period	9/20/99 → 9/22/99

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

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10.1109/ICDAR.1999.791826

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). Article 791826 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR). IEEE Computer Society. https://doi.org/10.1109/ICDAR.1999.791826

Cooperative text and line-art extraction from a topographic map. / Li, Luyang; Nagy, George; Samal, Ashok et al.
Proceedings of the 5th International Conference on Document Analysis and Recognition, ICDAR 1999. IEEE Computer Society, 1999. p. 471-474 791826 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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., 791826, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, IEEE Computer Society, pp. 471-474, 5th International Conference on Document Analysis and Recognition, ICDAR 1999, Bangalore, India, 9/20/99. https://doi.org/10.1109/ICDAR.1999.791826

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

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author = "Luyang Li and George Nagy and Ashok Samal and Sharad Seth and Yihong Xu",

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AB - 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.

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Cooperative text and line-art extraction from a topographic map

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