A Neural Network Approach for Visual Cryptography

In this paper, we propose a neural-network approach for visual authorization. It is an application on visual cryptography. The scheme contains a key-share and a set of user-shares. The administrator owns the key-share, and each user owns a user-share issued by the administrator from the usershare set. The shares in the user-share set are visually indistinguishable, i.e., they have the same pictorial meaning. However, the stacking of the key-share with different user-shares will reveal significantly different images. Therefore, the administrator (in fact, only the administrator) can visually recognize the authority assigned to a particular user by viewing the information appearing in the superposed image of key-share and user-share.

• Type: Conference
• Year: 2000
• Where: IJCNN
• Authors: Tai-Wen Yue, Suchen Chiang
• Keywords: IJCNN 2000, Neural Networks, Neural-network Approach, Visual Authorization, Visual Cryptography