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Informatika i Ee Primeneniya [Informatics and its Applications], 2012, Volume 6, Issue 4, Pages 49–56
(Mi ia232)
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This article is cited in 1 scientific paper (total in 1 paper)
Preprocessing of text recognition under the poor quality image
M. P. Krivenko Institute for Problems of Informatics of RAS
Abstract:
The methods of preprocessing of text images including the skew correction and the line segmentation are discussed for the case where the recognizable image is of low quality being obtained with high resolution. Provided that the brightness of the pixel rows of characters differs, even slightly, from the brightness of the background pixels, the procedures for the skew correction and segmentation of the text lines are proposed and analyzed.
Keywords:
text recognition; image preprocessing; skew correction; text line segmentation.
Citation:
M. P. Krivenko, “Preprocessing of text recognition under the poor quality image”, Inform. Primen., 6:4 (2012), 49–56
Linking options:
https://www.mathnet.ru/eng/ia232 https://www.mathnet.ru/eng/ia/v6/i4/p49
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Abstract page: | 578 | Full-text PDF : | 306 | References: | 34 | First page: | 1 |
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