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首页> 外文会议>Advances in Multimedia Information Processing - PCM 2008 >Skeleton-Based Recognition of Chinese Calligraphic Character Image
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Skeleton-Based Recognition of Chinese Calligraphic Character Image

机译：基于骨架的汉字图像识别

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摘要

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.
机译：现存的大量数字化中国书法作品是中国文化遗产的宝贵组成部分。但是它们很难被光学字符识别（OCR）识别，该字符在干净的背景下对机器打印的字符表现良好，因为形状复杂性字符的样式非常不同。因此，自动汉字识别的方法变得越来越重要。提出了一种新颖的骨架化算法MFITS（形态融合索引表骨架化），并提出了一种基于骨架的汉字识别方法。实验表明，MFITS能够提取出变形很小的骨架，并且基于骨架的汉字图像识别方法具有良好的性能。

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