Abstract
The large amount of digitized Chinese calligraphic works in existence is a valuable part of the Chinese cultural heritage. But they can hardly be recognized by optical character recognition (OCR) which performs well on machine printed characters against clean background, because there are so different styles of shape complexity characters. So the approaches of automatic Chinese calligraphic character recognition become more and more important. A novel skeletonization algorithm called MFITS (morphology-fused index table skeletonization) is proposed and a skeleton-based Chinese calligraphic character recognition method is proposed too. The experiments show that MFITS can extract skeletons with only a few deformations and the skeleton-based Chinese calligraphic character image recognition method has a good performance.
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© 2008 Springer-Verlag Berlin Heidelberg
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Yu, K., Wu, J., Zhuang, Y. (2008). Skeleton-Based Recognition of Chinese Calligraphic Character Image. In: Huang, YM.R., et al. Advances in Multimedia Information Processing - PCM 2008. PCM 2008. Lecture Notes in Computer Science, vol 5353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89796-5_24
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DOI: https://doi.org/10.1007/978-3-540-89796-5_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89795-8
Online ISBN: 978-3-540-89796-5
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