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Text information extraction in images and video: a survey

Jung, Keechul, In Kim, Kwang, K. Jain, Anil·2004·Pattern Recognition

Abstract

Text data present in images and video contain useful information for automatic annotation, indexing, and structuring of images. Extraction of this information involves detection, localization, tracking, extraction, enhancement, and recognition of the text from a given image. However, variations of text due to differences in size, style, orientation, and alignment, as well as low image contrast and complex background make the problem of automatic text extraction extremely challenging. While comprehensive surveys of related problems such as face detection, document analysis, and image & video indexing can be found, the problem of text information extraction is not well surveyed. A large number of techniques have been proposed to address this problem, and the purpose of this paper is to classify and review these algorithms, discuss benchmark data and performance evaluation, and to point out promising directions for future research.

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Metadata

Authors
Jung, K., In Kim, K., & K. Jain, A.
Venue
Pattern Recognition
Publisher
Elsevier BV
Published
2004-05
Volume
37
Issue
5
Pages
977-997
ISSN
0031-3203 (ISSN-L)
OpenAlex
W2027883219
Cited by
846
References
0
FWCI
15.96
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Text information extraction in images and video: a survey. https://app.cochat.ai/papers/10.1016/j.patcog.2003.10.012
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Jung, K., In Kim, K., & K. Jain, A. (2004). Text information extraction in images and video: a survey. Pattern Recognition. https://doi.org/10.1016/j.patcog.2003.10.012

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