Abstract
We propose a novel scheme for computing skeleton of characters using wavelet transform. The development of the method depends on a new wavelet function which is designed specifically for computing the medial axis and corner points of character strokes. Based on some certain desirable properties yielded by this particular wavelet function, wavelet skeleton is defined and computed. By using multiscale corner detection with new wavelet function, a set of modifying techniques are developed to remove the artifacts of primary skeletons. Experimental results show that the proposed algorithm overcomes some undesirable effects and limitations of previous methods.
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You, X., Tang, Y.Y., Zhang, W., Sun, L. (2003). Skeletonization of Character Based on Wavelet Transform. In: Petkov, N., Westenberg, M.A. (eds) Computer Analysis of Images and Patterns. CAIP 2003. Lecture Notes in Computer Science, vol 2756. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45179-2_18
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DOI: https://doi.org/10.1007/978-3-540-45179-2_18
Publisher Name: Springer, Berlin, Heidelberg
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