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.

• Type: Conference
• Year: 2005
• Where: ICAPR
• Authors: H. Tran, Augustin Lux, H. L. Nguyen T, A. Boucher
• Keywords: ICAPR 2005, Numerous Short Ridges, Skeleton Ridges, Text String