作者
Dilbag Singh, CV Aravinda, Manjit Kaur, Meng Lin, Jyothi Shetty, Vikram Raju Reddicherla, Heung-No Lee
发表日期
2022/7/15
期刊
IEEE Access
卷号
10
页码范围
75872-75883
出版商
IEEE
简介
Kuzushiji, a cursive writing style, had been extensively utilized in Japan for over a thousand years starting from the century. In 1900, Kuzushiji was not included in regular school curricula due to the change in the Japanese writing system. Nowadays Japanese natives are unable to read historical books that were written using Kuzushiji language. Therefore, libraries and museums have decided to build digital copies of the documents and books that were written in Kuzushiji language. Due to a limited number of trained experts, researchers have utilized machine and deep learning models to convert historical documents and books into a modern script that can be easily read by human beings. However, the existing deep learning techniques suffer from over-fitting and gradient vanishing problems. To overcome these problems, an efficient deep Kuzushiji characters recognition network (DKNet) is proposed …
引用总数
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D Singh, CV Aravinda, M Kaur, M Lin, J Shetty… - IEEE Access, 2022