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This article is cited in 8 scientific papers (total in 8 papers)
IMAGE PROCESSING, PATTERN RECOGNITION
A review of algorithms for text detection in images and videos
Yu. A. Bolotova, V. G. Spitsyn, P. M. Osina Tomsk Polytechnic University, Tomsk, Russia
Abstract:
This article reviews the history and state-of-the-art optical character recognition systems, such as ABBYY FineReader, Tesseract, CuneiForm, with particular attention given to their inner algorithms, including page layout analysis; page segmentation and document skew angle estimation. The overview includes the description and comparison of different methods proposed for the last 30 years in terms of speed and versatility. Critical analysis and discussions about the status of the field and open problems are reported.
Keywords:
OCR, page layout analysis, text segmentation, skew detection.
Received: 21.02.2017 Accepted: 19.04.2017
Citation:
Yu. A. Bolotova, V. G. Spitsyn, P. M. Osina, “A review of algorithms for text detection in images and videos”, Computer Optics, 41:3 (2017), 441–452
Linking options:
https://www.mathnet.ru/eng/co404 https://www.mathnet.ru/eng/co/v41/i3/p441
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Abstract page: | 366 | Full-text PDF : | 403 | References: | 44 |
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