Handwriting Verification Using Point and Side Information for Chinese Words

Guan-Hua Wang ； Jian-Jiun Ding ； Ming-Chen Hsu

《NCS 2019 全國計算機會議》 2019 (2019/11) Pp. 521-525

https://doi.org/10.6927/NCS.201911.0101

摘要

In this manuscript, we proposed a verification algorithm for the Chinese word. We use a variety of different features including global features and local features. Considering that Chinese words often have a more complicated structure, we adopt global features, matched side feature, and matched point feature, which are features extracted from different magnitude levels. The three feature sets are able to describe a Chinese word in a more complete way. Support vector machine is used as a classifier. Experimental results show that the proposed algorithm reaches 95.85% accuracy in handwriting verification and outperforms other methods.

關鍵字

handwriting verification ； point matching ； side matching ； forged scripts