Integrated segmentation and handwritten characters with recognition of connected recurrent neu.ra1 network

Seong Whan Lee; Eung Jae Lee

doi:10.1109/ICDAR.1995.599025

Integrated segmentation and handwritten characters with recognition of connected recurrent neu.ra1 network

Seong Whan Lee, Eung Jae Lee

Department of Brain and Cognitive Engineering

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

Abstract

In this paper, we propose an integrated segmentation and recognition method for recognizing connected handwritten characters with recurrent neural network. It has been developed to both integrate segmentation and recognition within a single recurrent neural network and recognize connected handwratten characters using the spatial dependencies in the images of connected handwritten characters. In order to verify the performance of the proposed method, experiments with the NIST database have been carried out and the performance of the proposed method has been compared with those of the previous integrated segmentation and recognition methods.

Original language	English
Title of host publication	Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995
Publisher	IEEE Computer Society
Pages	413-416
Number of pages	4
ISBN (Electronic)	0818671289
DOIs	https://doi.org/10.1109/ICDAR.1995.599025
Publication status	Published - 1995
Event	3rd International Conference on Document Analysis and Recognition, ICDAR 1995 - Montreal, Canada Duration: 1995 Aug 14 → 1995 Aug 16

Publication series

Name	Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume	1
ISSN (Print)	1520-5363

Conference

Conference	3rd International Conference on Document Analysis and Recognition, ICDAR 1995
Country/Territory	Canada
City	Montreal
Period	95/8/14 → 95/8/16

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/ICDAR.1995.599025

Cite this

Lee, S. W., & Lee, E. J. (1995). Integrated segmentation and handwritten characters with recognition of connected recurrent neu.ra1 network. In Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995 (pp. 413-416). [599025] (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 1). IEEE Computer Society. https://doi.org/10.1109/ICDAR.1995.599025

Integrated segmentation and handwritten characters with recognition of connected recurrent neu.ra1 network. / Lee, Seong Whan; Lee, Eung Jae.
Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995. IEEE Computer Society, 1995. p. 413-416 599025 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 1).

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

Lee, SW & Lee, EJ 1995, Integrated segmentation and handwritten characters with recognition of connected recurrent neu.ra1 network. in Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995., 599025, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, vol. 1, IEEE Computer Society, pp. 413-416, 3rd International Conference on Document Analysis and Recognition, ICDAR 1995, Montreal, Canada, 95/8/14. https://doi.org/10.1109/ICDAR.1995.599025

Lee SW, Lee EJ. Integrated segmentation and handwritten characters with recognition of connected recurrent neu.ra1 network. In Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995. IEEE Computer Society. 1995. p. 413-416. 599025. (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR). doi: 10.1109/ICDAR.1995.599025

Lee, Seong Whan ; Lee, Eung Jae. / Integrated segmentation and handwritten characters with recognition of connected recurrent neu.ra1 network. Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995. IEEE Computer Society, 1995. pp. 413-416 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR).

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abstract = "In this paper, we propose an integrated segmentation and recognition method for recognizing connected handwritten characters with recurrent neural network. It has been developed to both integrate segmentation and recognition within a single recurrent neural network and recognize connected handwratten characters using the spatial dependencies in the images of connected handwritten characters. In order to verify the performance of the proposed method, experiments with the NIST database have been carried out and the performance of the proposed method has been compared with those of the previous integrated segmentation and recognition methods.",

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note = "Funding Information: This research was supported by the Directed Basic Research Fund of Korea Science and Engineering Foundation. Publisher Copyright: {\textcopyright} 1995 IEEE.; 3rd International Conference on Document Analysis and Recognition, ICDAR 1995 ; Conference date: 14-08-1995 Through 16-08-1995",

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AB - In this paper, we propose an integrated segmentation and recognition method for recognizing connected handwritten characters with recurrent neural network. It has been developed to both integrate segmentation and recognition within a single recurrent neural network and recognize connected handwratten characters using the spatial dependencies in the images of connected handwritten characters. In order to verify the performance of the proposed method, experiments with the NIST database have been carried out and the performance of the proposed method has been compared with those of the previous integrated segmentation and recognition methods.

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Integrated segmentation and handwritten characters with recognition of connected recurrent neu.ra1 network

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