Scene text extraction in complex images

Hye Ran Byun; Myung Cheol Roh; Kil Cheon Kim; Yeong Woo Choi; Seong Whan Lee

doi:10.1007/3-540-45869-7_38

Scene text extraction in complex images

Hye Ran Byun, Myung Cheol Roh, Kil Cheon Kim, Yeong Woo Choi, Seong Whan Lee

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

7 Citations (Scopus)

Abstract

Text extraction and recognition from still and moving images have many important applications. But, when a source image is an ordinary natural scene, text extraction becomes very complicated and difficult. In this paper, we suggest text extraction methods based on color and gray information. The method using the color image is processed by color reduction, color clustering, and text region extraction and verifications. The method using the gray-level image is processed by edge detection, long line removal, repetitive run-length smearing (RLS), and text region extraction and verifications. Combining two approaches improves the extraction accuracies both in simple and in complex images. Also, estimating skew and perspective of the extracted text regions are considered.

Original language	English
Title of host publication	Document Analysis Systems V - 5th International Workshop, DAS 2002, Proceedings
Editors	Daniel Lopresti, Jianying Hu, Ramanujan Kashi
Publisher	Springer Verlag
Pages	329-340
Number of pages	12
ISBN (Print)	3540440682, 9783540440680
DOIs	https://doi.org/10.1007/3-540-45869-7_38
Publication status	Published - 2002
Event	5th International Workshop on Document Analysis Systems, DAS 2002 - Princeton, United States Duration: 2002 Aug 19 → 2002 Aug 21

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2423
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	5th International Workshop on Document Analysis Systems, DAS 2002
Country/Territory	United States
City	Princeton
Period	02/8/19 → 02/8/21

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/3-540-45869-7_38

Cite this

Byun, H. R., Roh, M. C., Kim, K. C., Choi, Y. W., & Lee, S. W. (2002). Scene text extraction in complex images. In D. Lopresti, J. Hu, & R. Kashi (Eds.), Document Analysis Systems V - 5th International Workshop, DAS 2002, Proceedings (pp. 329-340). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2423). Springer Verlag. https://doi.org/10.1007/3-540-45869-7_38

Scene text extraction in complex images. / Byun, Hye Ran; Roh, Myung Cheol; Kim, Kil Cheon et al.
Document Analysis Systems V - 5th International Workshop, DAS 2002, Proceedings. ed. / Daniel Lopresti; Jianying Hu; Ramanujan Kashi. Springer Verlag, 2002. p. 329-340 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2423).

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

Byun, HR, Roh, MC, Kim, KC, Choi, YW & Lee, SW 2002, Scene text extraction in complex images. in D Lopresti, J Hu & R Kashi (eds), Document Analysis Systems V - 5th International Workshop, DAS 2002, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2423, Springer Verlag, pp. 329-340, 5th International Workshop on Document Analysis Systems, DAS 2002, Princeton, United States, 02/8/19. https://doi.org/10.1007/3-540-45869-7_38

Byun HR, Roh MC, Kim KC, Choi YW, Lee SW. Scene text extraction in complex images. In Lopresti D, Hu J, Kashi R, editors, Document Analysis Systems V - 5th International Workshop, DAS 2002, Proceedings. Springer Verlag. 2002. p. 329-340. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-45869-7_38

Byun, Hye Ran ; Roh, Myung Cheol ; Kim, Kil Cheon et al. / Scene text extraction in complex images. Document Analysis Systems V - 5th International Workshop, DAS 2002, Proceedings. editor / Daniel Lopresti ; Jianying Hu ; Ramanujan Kashi. Springer Verlag, 2002. pp. 329-340 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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AB - Text extraction and recognition from still and moving images have many important applications. But, when a source image is an ordinary natural scene, text extraction becomes very complicated and difficult. In this paper, we suggest text extraction methods based on color and gray information. The method using the color image is processed by color reduction, color clustering, and text region extraction and verifications. The method using the gray-level image is processed by edge detection, long line removal, repetitive run-length smearing (RLS), and text region extraction and verifications. Combining two approaches improves the extraction accuracies both in simple and in complex images. Also, estimating skew and perspective of the extracted text regions are considered.

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Scene text extraction in complex images

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