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 proceedingConference contribution

6 Citations (Scopus)


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 languageEnglish
Title of host publicationDocument Analysis Systems V - 5th International Workshop, DAS 2002, Proceedings
EditorsDaniel Lopresti, Jianying Hu, Ramanujan Kashi
PublisherSpringer Verlag
Number of pages12
ISBN (Print)3540440682, 9783540440680
Publication statusPublished - 2002
Event5th International Workshop on Document Analysis Systems, DAS 2002 - Princeton, United States
Duration: 2002 Aug 192002 Aug 21

Publication series

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


Other5th International Workshop on Document Analysis Systems, DAS 2002
Country/TerritoryUnited States

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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