Chinese Character Image Clustering and Classification  Based on Object Embedding Model (Student Abstract)

Mengting Wang; Xun Liang; Yang Xue

doi:10.1609/aaai.v35i18.17953

Chinese Character Image Clustering and Classification Based on Object Embedding Model (Student Abstract)

Authors

Mengting Wang Renmin University of China
Xun Liang Renmin University of China
Yang Xue Renmin University of China

DOI:

https://doi.org/10.1609/aaai.v35i18.17953

Keywords:

Unsupervised Learning, Font Recognition, Object Embedding, Writer Identification

Abstract

We proposed Image2Vec, an unsupervised algorithm that learns feature representations for variable-size pieces of Chinese character images.

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Published

2021-05-18

How to Cite

Wang, M., Liang, X., & Xue, Y. (2021). Chinese Character Image Clustering and Classification Based on Object Embedding Model (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 35(18), 15913–15914. https://doi.org/10.1609/aaai.v35i18.17953