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Text information extraction in images and video: a survey
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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Cited by
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A robust arbitrary text detection system for natural scene images
Risnumawan, A., Shivakumara, P., Chan, C. S., & Tan, C. L. (2014) · Expert Systems with Applications · doi:10.1016/j.eswa.2014.07.008 · Cited by 531
Scene Text Detection and Recognition: The Deep Learning Era
Long, S., He, X., & Yao, C. (2021) · International Journal of Computer Vision · doi:10.1007/s11263-020-01369-0 · Cited by 527
VizLens: A Robust and Interactive Screen Reader for Interfaces in the Real World
Guo, A., Chen, X. '., Qi, H., White, S., Ghosh, S., Asakawa, C., & Bigham, J. P. (2016) · Proceedings of the 29th Annual Symposium on User Interface Software and Technology · doi:10.1145/2984511.2984518 · Cited by 99
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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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