Visible to the public Visual Secret Sharing Scheme for Color QR Code

TitleVisual Secret Sharing Scheme for Color QR Code
Publication TypeConference Paper
Year of Publication2018
AuthorsTan, L., Liu, K., Yan, X., Wan, S., Chen, J., Chang, C.
Conference Name2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC)
ISBN Number978-1-5386-4991-6
Keywordscolor QR code, color QR code share, cryptography, cyber physical systems, Decoding, encoding, error correction, error correction ability, error correction codes, Fuses, human visual system, Image coding, Image color analysis, image colour analysis, Image reconstruction, novel visual secret sharing scheme, pubcrawl, QR codes, Resiliency, secret image bits, secret image encoding, secret image reconstruction, secret image splitting, Stacking, visual effects, visual secret sharing, visual secret sharing scheme, VSS scheme
Abstract

In this paper, we propose a novel visual secret sharing (VSS) scheme for color QR code (VSSCQR) with (n, n) threshold based on high capacity, admirable visual effects and popularity of color QR code. By splitting and encoding a secret image into QR codes and then fusing QR codes to generate color QR code shares, the scheme can share the secret among a certain number of participants. However, less than n participants cannot reveal any information about the secret. The embedding amount and position of the secret image bits generated by VSS are in the range of the error correction ability of the QR code. Each color share is readable, which can be decoded and thus may not come into notice. On one hand, the secret image can be reconstructed by first decomposing three QR codes from each color QR code share and then stacking the corresponding QR codes based on only human visual system without computational devices. On the other hand, by decomposing three QR codes from each color QR code share and then XORing the three QR codes respectively, we can reconstruct the secret image losslessly. The experiment results display the effect of our scheme.

URLhttps://ieeexplore.ieee.org/document/8492724
DOI10.1109/ICIVC.2018.8492724
Citation Keytan_visual_2018