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ICPR
2002
IEEE

Robust Text Detection from Binarized Document Images

11 years 17 days ago
Robust Text Detection from Binarized Document Images
Many document images are rich in color and have complex background. To detect text from them, a standard approach utilizes both color and binary information. This often leads to time-consuming processing and requires a lot of parameters to be tuned. In contrast, we propose a new method for text detection using a binary image alone. The main virtues of our method include detection of both normal and inverted text and robustness to various font types, styles and sizes and small skew angles, combined with a moderate number of free parameters.
Oleg Okun, Yu Yan, Matti Pietikäinen
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2002
Where ICPR
Authors Oleg Okun, Yu Yan, Matti Pietikäinen
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