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Create Your Own Chinese Calligraphy Artwork
| Content Provider | Semantic Scholar |
|---|---|
| Author | Guo, Haoli Zheng, Yujie |
| Copyright Year | 2016 |
| Abstract | In this work, we aim to transform handwritten Chinese characters into calligraphy style characters on a stroke-by-stroke basis. We extracted strokes from a set of handwritten characters by identifying the primary orientation of each stroke. We then adopted autoencoder and self-organizing maps to cluster the extracted strokes into 100 different groups. Using the neural networks obtained, we clustered strokes from calligraphy artworks as well. By identifying the strokes of a handwritten character and replacing it with the corresponding calligraphy stroke, we successfully created calligraphy-style characters from handwritten characters while preserving the unique structures of the original characters. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://cs229.stanford.edu/proj2016/report/GuoTaoZheng-Createyourowncalligraphyartwork-report.pdf |
| Alternate Webpage(s) | http://cs229.stanford.edu/proj2016/poster/GuoJiaZheng-CreateYourOwnChineseCalligraphyArtwork-poster.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
