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ICAPR
2005
Springer

A Novel Approach for Text Detection in Images Using Structural Features

10 years 4 months ago
A Novel Approach for Text Detection in Images Using Structural Features
We propose a novel approach for finding text in images by using ridges at several scales. A text string is modelled by a ridge at a coarse scale representing its center line and numerous short ridges at a smaller scale representing the skeletons of characters. Skeleton ridges have to satisfy geometrical and spatial constraints such as the perpendicularity or non-parallelism to the central ridge. In this way, we obtain a hierarchical description of text strings, which can provide direct input to an OCR or a text analysis system. The proposed method does not depend on a particular alphabet, it works with a wide variety in size of characters and does not depend on orientation of text string. The experimental results show a good detection.
H. Tran, Augustin Lux, H. L. Nguyen T, A. Boucher
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where ICAPR
Authors H. Tran, Augustin Lux, H. L. Nguyen T, A. Boucher
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