Secret sharing based on part-based factorization for Chinese characters

Tsung Yi Huang, Chih Yang Lin, Min Kuan Chang, Chia Chen Kuo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages209-210
Number of pages2
ISBN (Electronic)9781509040179
DOIs
StatePublished - 25 Jul 2017
Event4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017 - Taipei, United States
Duration: 12 Jun 201714 Jun 2017

Publication series

Name2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017

Conference

Conference4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
Country/TerritoryUnited States
CityTaipei
Period12/06/1714/06/17

Fingerprint

Dive into the research topics of 'Secret sharing based on part-based factorization for Chinese characters'. Together they form a unique fingerprint.

Cite this