Secret Sharing Based On Part-Based Factorization For Chinese Characters

In this paper, we propose a new secret sharing method for Chinese characters based on non-negative matrix factorization (NMF). Chinese characters can be regarded as binary images, but traditional NMF is only suitable for gray-level images. Therefore, this paper proposes a modified version of NMF for dealing with Chinese characters in binary images. The modified NMF decomposes a Chinese character into several parts, making each part unreadable to ensure that secrecy can be preserved. Experimental results show the decomposed results and the feasibility of the proposed method.