Large amounts of color-printed documents are published now everyday. Some OCR approaches of color-printed document images are provided, but they cannot normally work if the input images skew. In the past years, many algorithms are provided to detect the skew of monochrome document images but none of them process color-printed document images. All of these methods assume that text is printed in black on a white background and cannot be applied to detect skew in color-printed document images. In this paper, we propose an algorithm to detect the skew angle of a color-printed document image and reconstruct it. Our approach first determines variation of color-transition count at each angle (from -45
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Yi-Kai CHEN, Jhing-Fa WANG, "Skew Detection and Reconstruction of Color-Printed Document Images" in IEICE TRANSACTIONS on Information,
vol. E84-D, no. 8, pp. 1018-1024, August 2001, doi: .
Abstract: Large amounts of color-printed documents are published now everyday. Some OCR approaches of color-printed document images are provided, but they cannot normally work if the input images skew. In the past years, many algorithms are provided to detect the skew of monochrome document images but none of them process color-printed document images. All of these methods assume that text is printed in black on a white background and cannot be applied to detect skew in color-printed document images. In this paper, we propose an algorithm to detect the skew angle of a color-printed document image and reconstruct it. Our approach first determines variation of color-transition count at each angle (from -45
URL: https://global.ieice.org/en_transactions/information/10.1587/e84-d_8_1018/_p
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@ARTICLE{e84-d_8_1018,
author={Yi-Kai CHEN, Jhing-Fa WANG, },
journal={IEICE TRANSACTIONS on Information},
title={Skew Detection and Reconstruction of Color-Printed Document Images},
year={2001},
volume={E84-D},
number={8},
pages={1018-1024},
abstract={Large amounts of color-printed documents are published now everyday. Some OCR approaches of color-printed document images are provided, but they cannot normally work if the input images skew. In the past years, many algorithms are provided to detect the skew of monochrome document images but none of them process color-printed document images. All of these methods assume that text is printed in black on a white background and cannot be applied to detect skew in color-printed document images. In this paper, we propose an algorithm to detect the skew angle of a color-printed document image and reconstruct it. Our approach first determines variation of color-transition count at each angle (from -45
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - Skew Detection and Reconstruction of Color-Printed Document Images
T2 - IEICE TRANSACTIONS on Information
SP - 1018
EP - 1024
AU - Yi-Kai CHEN
AU - Jhing-Fa WANG
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E84-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2001
AB - Large amounts of color-printed documents are published now everyday. Some OCR approaches of color-printed document images are provided, but they cannot normally work if the input images skew. In the past years, many algorithms are provided to detect the skew of monochrome document images but none of them process color-printed document images. All of these methods assume that text is printed in black on a white background and cannot be applied to detect skew in color-printed document images. In this paper, we propose an algorithm to detect the skew angle of a color-printed document image and reconstruct it. Our approach first determines variation of color-transition count at each angle (from -45
ER -