JCSE, vol. 8, no. 3, pp.149-156, September, 2014
Stroke Width Based Skeletonization for Text Images
Minh Hieu Nguyen, Soo-Hyung Kim, Hyung Jeong Yang, and Guee Sang Lee
Dept. of Electronics and Computer Eng., Chonnam National University, Gwangju, South Korea
Abstract: Skeletonization is a morphological operation that transforms an original object into a subset, which is called a ‘skeleton’.
Skeletonization has been intensively studied for decades and is a challenging issue especially for special target objects.
This paper proposes a novel approach to the skeletonization of text images based on stroke width detection. First, the preliminary
skeleton is detected by using a Canny edge detector with a Tensor Voting framework. Second, the preliminary
skeleton is smoothed, and junction points are connected by interpolation compensation. E
Skeletonization; Stroke width; Tensor voting; Text image
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