Stroke Width Based Skeletonization for Text Images
Minh Hieu Nguyen, Myung‐Sun Kim, Hyung-Jeong Yang, Guee-Sang Lee · Journal of Computing Science and Engineering · 2014
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. Experimental results show the validity of the proposed approach.