Scene text extraction in complex images

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

Scene text extraction in complex images

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

Department of Brain and Cognitive Engineering

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

5 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	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer Verlag
Pages	329-340
Number of pages	12
Volume	2423
ISBN (Print)	3540440682, 9783540440680
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)	03029743
ISSN (Electronic)	16113349

Other

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

ASJC Scopus subject areas

Computer Science(all)
Theoretical Computer Science

Access to Document

Fingerprint Dive into the research topics of 'Scene text extraction in complex images'. Together they form a unique fingerprint.

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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2423, pp. 329-340). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2423). Springer Verlag.

Scene text extraction in complex images. / Byun, Hye Ran; Roh, Myung Cheol; Kim, Kil Cheon; Choi, Yeong Woo; Lee, Seong Whan.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2423 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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 2423, 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.

Byun HR, Roh MC, Kim KC, Choi YW, Lee SW. Scene text extraction in complex images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2423. Springer Verlag. 2002. p. 329-340. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Byun, Hye Ran ; Roh, Myung Cheol ; Kim, Kil Cheon ; Choi, Yeong Woo ; Lee, Seong Whan. / Scene text extraction in complex images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2423 Springer Verlag, 2002. pp. 329-340 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{b3dd41573c1448409b3802e43f440d4e,

title = "Scene text extraction in complex images",

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.",

author = "Byun, {Hye Ran} and Roh, {Myung Cheol} and Kim, {Kil Cheon} and Choi, {Yeong Woo} and Lee, {Seong Whan}",

year = "2002",

language = "English",

isbn = "3540440682",

volume = "2423",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "329--340",

booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

note = "5th International Workshop on Document Analysis Systems, DAS 2002 ; Conference date: 19-08-2002 Through 21-08-2002",

}

TY - GEN

T1 - Scene text extraction in complex images

AU - Byun, Hye Ran

AU - Roh, Myung Cheol

AU - Kim, Kil Cheon

AU - Choi, Yeong Woo

AU - Lee, Seong Whan

PY - 2002

Y1 - 2002

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=84947803663&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84947803663&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84947803663

SN - 3540440682

SN - 9783540440680

VL - 2423

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 329

EP - 340

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

PB - Springer Verlag

T2 - 5th International Workshop on Document Analysis Systems, DAS 2002

Y2 - 19 August 2002 through 21 August 2002

ER -