Detecting text in natural scenes with stroke width transform

We present a novel image operator that seeks to find the value of stroke width for each image pixel, and demonstrate its use on the task of text detection in natural images. The suggested operator is local and data dependent, which makes it fast and robust enough to eliminate the need for multi-scal...

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Veröffentlicht in:2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition S. 2963 - 2970
Hauptverfasser: Epshtein, B, Ofek, E, Wexler, Y
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.06.2010
Schlagworte:
Colored noise
Computer vision
Engines
Filter bank
Geometry
Image segmentation
Layout
Optical character recognition software
Pixel
Robustness
ISBN:1424469848, 9781424469840
ISSN:1063-6919, 1063-6919
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:We present a novel image operator that seeks to find the value of stroke width for each image pixel, and demonstrate its use on the task of text detection in natural images. The suggested operator is local and data dependent, which makes it fast and robust enough to eliminate the need for multi-scale computation or scanning windows. Extensive testing shows that the suggested scheme outperforms the latest published algorithms. Its simplicity allows the algorithm to detect texts in many fonts and languages.
ISBN:1424469848
9781424469840
ISSN:1063-6919
1063-6919
DOI:10.1109/CVPR.2010.5540041