Camera based degraded text recognition using grayscale feature

Jun Sun; Yoshinobu Hotta; Yutaka Katsuyama; Satoshi Naoi

doi:10.1109/ICDAR.2005.61

Camera based degraded text recognition using grayscale feature

Jun Sun^*, Yoshinobu Hotta, Yutaka Katsuyama, Satoshi Naoi

^*Corresponding author for this work

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

12 Citations (Scopus)

Abstract

As the rapid progress of digital imaging technology, camera based character recognition receives more and more attentions. One challenge in camera based OCR is the recognition for degraded text. Conventional OCR engines usually recognize on binary image. However, the performance drops dramatically as the degradation level increases. In this paper, a new recognition method is proposed to recognize degraded character based on dual eigenspace decomposition and synthetic degraded data. Then, the degraded character string is segmented by the combination of binary and grayscale analysis. Experiments on single character and text string recognition prove the effectiveness of our method.

Original language	English
Title of host publication	Proceedings of the Eighth International Conference on Document Analysis and Recognition
Pages	182-186
Number of pages	5
DOIs	https://doi.org/10.1109/ICDAR.2005.61
Publication status	Published - 2005
Externally published	Yes
Event	8th International Conference on Document Analysis and Recognition - Seoul, Korea, Republic of Duration: 2005 Aug 31 → 2005 Sept 1

Publication series

Name	Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume	2005
ISSN (Print)	1520-5363

Conference

Conference	8th International Conference on Document Analysis and Recognition
Country/Territory	Korea, Republic of
City	Seoul
Period	05/8/31 → 05/9/1

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/ICDAR.2005.61

Cite this

Sun, J., Hotta, Y., Katsuyama, Y., & Naoi, S. (2005). Camera based degraded text recognition using grayscale feature. In Proceedings of the Eighth International Conference on Document Analysis and Recognition (pp. 182-186). Article 1575534 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2005). https://doi.org/10.1109/ICDAR.2005.61

Camera based degraded text recognition using grayscale feature. / Sun, Jun; Hotta, Yoshinobu; Katsuyama, Yutaka et al.
Proceedings of the Eighth International Conference on Document Analysis and Recognition. 2005. p. 182-186 1575534 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2005).

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

Sun, J, Hotta, Y, Katsuyama, Y & Naoi, S 2005, Camera based degraded text recognition using grayscale feature. in Proceedings of the Eighth International Conference on Document Analysis and Recognition., 1575534, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, vol. 2005, pp. 182-186, 8th International Conference on Document Analysis and Recognition, Seoul, Korea, Republic of, 05/8/31. https://doi.org/10.1109/ICDAR.2005.61

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AB - As the rapid progress of digital imaging technology, camera based character recognition receives more and more attentions. One challenge in camera based OCR is the recognition for degraded text. Conventional OCR engines usually recognize on binary image. However, the performance drops dramatically as the degradation level increases. In this paper, a new recognition method is proposed to recognize degraded character based on dual eigenspace decomposition and synthetic degraded data. Then, the degraded character string is segmented by the combination of binary and grayscale analysis. Experiments on single character and text string recognition prove the effectiveness of our method.

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Camera based degraded text recognition using grayscale feature

Abstract

Publication series

Conference

ASJC Scopus subject areas

Access to Document

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