A Neural Network Approach for Visual Cryptography

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Venue:
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5 - Volume 5
Year:
2000

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Abstract

Visual cryptography finds many applications in cryptographic field such as key management, message concealment, authorization, authentication, identification, and entertainment. In the paper, we propose a novel approach for visual cryptography using neural networks (NNs). To perform encrypting, the input to the NN is a set of gray-level images, and the output is a set of binary images (shares) that fulfills the desirable access scheme. This approach is considerably different from the traditional one, and can be applied to cope with very complex access schemes.