Probabilistic model for segmentation based word recognition with lexicon

Sergey Tulyakov; Venu Govindaraju

doi:10.1109/ICDAR.2001.953776

Probabilistic model for segmentation based word recognition with lexicon

Sergey Tulyakov
, Venu Govindaraju

Research and Economic Development

SUNY Buffalo

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

25 Scopus citations

Abstract

In this paper we describe the construction of a model for off-line word recognizers based on over-segmentation of input image and recognition of segment combinations as characters in a given lexicon word. One such recognizer, Word Model Recognizer (WMR), is used extensively. Based on the proposed model it was possible to improve the performance of WMR.

Original language	English
Title of host publication	Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001
Publisher	IEEE Computer Society
Pages	164-167
Number of pages	4
ISBN (Electronic)	0769512631, 0769512631, 0769512631
DOIs	https://doi.org/10.1109/ICDAR.2001.953776
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.2001.953776

Cite this

Tulyakov, S., & Govindaraju, V. (2001). Probabilistic model for segmentation based word recognition with lexicon. In Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001 (pp. 164-167). Article 953776 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2001-January). IEEE Computer Society. https://doi.org/10.1109/ICDAR.2001.953776

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title = "Probabilistic model for segmentation based word recognition with lexicon",

abstract = "In this paper we describe the construction of a model for off-line word recognizers based on over-segmentation of input image and recognition of segment combinations as characters in a given lexicon word. One such recognizer, Word Model Recognizer (WMR), is used extensively. Based on the proposed model it was possible to improve the performance of WMR.",

author = "Sergey Tulyakov 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.2001.953776",

language = "English",

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

publisher = "IEEE Computer Society",

pages = "164--167",

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

address = "United States",

}

Tulyakov, S & Govindaraju, V 2001, Probabilistic model for segmentation based word recognition with lexicon. in Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001., 953776, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, vol. 2001-January, IEEE Computer Society, pp. 164-167, 6th International Conference on Document Analysis and Recognition, ICDAR 2001, Seattle, United States, 09/10/01. https://doi.org/10.1109/ICDAR.2001.953776

Probabilistic model for segmentation based word recognition with lexicon. / Tulyakov, Sergey; Govindaraju, Venu.
Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001. IEEE Computer Society, 2001. p. 164-167 953776 (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 - Govindaraju, Venu

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AB - In this paper we describe the construction of a model for off-line word recognizers based on over-segmentation of input image and recognition of segment combinations as characters in a given lexicon word. One such recognizer, Word Model Recognizer (WMR), is used extensively. Based on the proposed model it was possible to improve the performance of WMR.

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M3 - Conference contribution

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

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

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Probabilistic model for segmentation based word recognition with lexicon

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