Postal address block location by contour clustering

Venu Govindaraju; Sergey Tulyakov

doi:10.1109/ICDAR.2003.1227703

Postal address block location by contour clustering

Venu Govindaraju
, Sergey Tulyakov

Research and Economic Development

University at Buffalo

SUNY Buffalo

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

5 Scopus citations

Abstract

We have developed a well performing algorithm for locating address blocks in postal parcel images. Both machine printed and handwritten addresses are processed by the algorithm. The algorithm is invariant to the image orientation and scale, and it works with high noise images. It could also serve as an additional step after other address block location algorithms.

Original language	English
Title of host publication	Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003
Publisher	IEEE Computer Society
Pages	429-432
Number of pages	4
ISBN (Electronic)	0769519601
DOIs	https://doi.org/10.1109/ICDAR.2003.1227703
State	Published - 2003
Event	7th International Conference on Document Analysis and Recognition, ICDAR 2003 - Edinburgh, United Kingdom Duration: Aug 3 2003 → Aug 6 2003

Publication series

Name	Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume	2003-January

Conference

Conference	7th International Conference on Document Analysis and Recognition, ICDAR 2003
Country/Territory	United Kingdom
City	Edinburgh
Period	08/3/03 → 08/6/03

Access to Document

10.1109/ICDAR.2003.1227703

Cite this

Govindaraju, V., & Tulyakov, S. (2003). Postal address block location by contour clustering. In Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003 (pp. 429-432). Article 1227703 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2003-January). IEEE Computer Society. https://doi.org/10.1109/ICDAR.2003.1227703

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title = "Postal address block location by contour clustering",

abstract = "We have developed a well performing algorithm for locating address blocks in postal parcel images. Both machine printed and handwritten addresses are processed by the algorithm. The algorithm is invariant to the image orientation and scale, and it works with high noise images. It could also serve as an additional step after other address block location algorithms.",

author = "Venu Govindaraju and Sergey Tulyakov",

note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 7th International Conference on Document Analysis and Recognition, ICDAR 2003 ; Conference date: 03-08-2003 Through 06-08-2003",

year = "2003",

doi = "10.1109/ICDAR.2003.1227703",

language = "English",

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

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Govindaraju, V & Tulyakov, S 2003, Postal address block location by contour clustering. in Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003., 1227703, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, vol. 2003-January, IEEE Computer Society, pp. 429-432, 7th International Conference on Document Analysis and Recognition, ICDAR 2003, Edinburgh, United Kingdom, 08/3/03. https://doi.org/10.1109/ICDAR.2003.1227703

Postal address block location by contour clustering. / Govindaraju, Venu; Tulyakov, Sergey.
Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003. IEEE Computer Society, 2003. p. 429-432 1227703 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2003-January).

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

TY - GEN

T1 - Postal address block location by contour clustering

AU - Govindaraju, Venu

AU - Tulyakov, Sergey

PY - 2003

Y1 - 2003

N2 - We have developed a well performing algorithm for locating address blocks in postal parcel images. Both machine printed and handwritten addresses are processed by the algorithm. The algorithm is invariant to the image orientation and scale, and it works with high noise images. It could also serve as an additional step after other address block location algorithms.

AB - We have developed a well performing algorithm for locating address blocks in postal parcel images. Both machine printed and handwritten addresses are processed by the algorithm. The algorithm is invariant to the image orientation and scale, and it works with high noise images. It could also serve as an additional step after other address block location algorithms.

UR - https://www.scopus.com/pages/publications/33947389261

U2 - 10.1109/ICDAR.2003.1227703

DO - 10.1109/ICDAR.2003.1227703

M3 - Conference contribution

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

SP - 429

EP - 432

BT - Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003

PB - IEEE Computer Society

T2 - 7th International Conference on Document Analysis and Recognition, ICDAR 2003

Y2 - 3 August 2003 through 6 August 2003

ER -

Postal address block location by contour clustering

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