Building skeletal graphs for structural feature extraction on handwriting images

Hanhong Xue; Venu Govindaraju

doi:10.1109/ICDAR.2001.953762

Building skeletal graphs for structural feature extraction on handwriting images

Hanhong Xue
, Venu Govindaraju

Research and Economic Development

SUNY Buffalo

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

12 Scopus citations

Abstract

This paper presents a new method of building skeletal graphs for handwriting images, aiming at extraction of high-level structural features such as loops, turns, ends, and junctions. Block adjacency graphs are used as the base representation and transformed at locations where deformation occurs to obtain satisfactory skeletal graphs. Then the identification and ordering of structural features are considered based on skeletal graphs.

Original language	English
Title of host publication	Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001
Publisher	IEEE Computer Society
Pages	96-100
Number of pages	5
ISBN (Electronic)	0769512631, 0769512631, 0769512631
DOIs	https://doi.org/10.1109/ICDAR.2001.953762
State	Published - 2001
Event	6th International Conference on Document Analysis and Recognition, ICDAR 2001 - Seattle, United States Duration: Sep 10 2001 → Sep 13 2001

Publication series

Name	Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume	2001-January
ISSN (Print)	1520-5363

Conference

Conference	6th International Conference on Document Analysis and Recognition, ICDAR 2001
Country/Territory	United States
City	Seattle
Period	09/10/01 → 09/13/01

Access to Document

10.1109/ICDAR.2001.953762

Cite this

Xue, H., & Govindaraju, V. (2001). Building skeletal graphs for structural feature extraction on handwriting images. In Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001 (pp. 96-100). Article 953762 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2001-January). IEEE Computer Society. https://doi.org/10.1109/ICDAR.2001.953762

@inproceedings{479dd57b83b1489882af79138386e110,

title = "Building skeletal graphs for structural feature extraction on handwriting images",

abstract = "This paper presents a new method of building skeletal graphs for handwriting images, aiming at extraction of high-level structural features such as loops, turns, ends, and junctions. Block adjacency graphs are used as the base representation and transformed at locations where deformation occurs to obtain satisfactory skeletal graphs. Then the identification and ordering of structural features are considered based on skeletal graphs.",

author = "Hanhong Xue and Venu Govindaraju",

note = "Publisher Copyright: {\textcopyright} 2001 IEEE.; 6th International Conference on Document Analysis and Recognition, ICDAR 2001 ; Conference date: 10-09-2001 Through 13-09-2001",

year = "2001",

doi = "10.1109/ICDAR.2001.953762",

language = "English",

series = "Proceedings of the International Conference on Document Analysis and Recognition, ICDAR",

publisher = "IEEE Computer Society",

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booktitle = "Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001",

address = "United States",

}

Xue, H & Govindaraju, V 2001, Building skeletal graphs for structural feature extraction on handwriting images. in Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001., 953762, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, vol. 2001-January, IEEE Computer Society, pp. 96-100, 6th International Conference on Document Analysis and Recognition, ICDAR 2001, Seattle, United States, 09/10/01. https://doi.org/10.1109/ICDAR.2001.953762

Building skeletal graphs for structural feature extraction on handwriting images. / Xue, Hanhong; Govindaraju, Venu.
Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001. IEEE Computer Society, 2001. p. 96-100 953762 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2001-January).

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

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AU - Xue, Hanhong

AU - Govindaraju, Venu

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Y1 - 2001

N2 - This paper presents a new method of building skeletal graphs for handwriting images, aiming at extraction of high-level structural features such as loops, turns, ends, and junctions. Block adjacency graphs are used as the base representation and transformed at locations where deformation occurs to obtain satisfactory skeletal graphs. Then the identification and ordering of structural features are considered based on skeletal graphs.

AB - This paper presents a new method of building skeletal graphs for handwriting images, aiming at extraction of high-level structural features such as loops, turns, ends, and junctions. Block adjacency graphs are used as the base representation and transformed at locations where deformation occurs to obtain satisfactory skeletal graphs. Then the identification and ordering of structural features are considered based on skeletal graphs.

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U2 - 10.1109/ICDAR.2001.953762

DO - 10.1109/ICDAR.2001.953762

M3 - Conference contribution

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T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

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T2 - 6th International Conference on Document Analysis and Recognition, ICDAR 2001

Y2 - 10 September 2001 through 13 September 2001

ER -

Building skeletal graphs for structural feature extraction on handwriting images

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