基于局部模式的图像认证加权有限自动机

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015) Pub Date : 2015-03-02 DOI:10.1109/ICOSC.2015.7050797

U. Raju, Shibin George, Irlanki Sandeep, Kothuri Sai Kiran

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引用次数: 2

摘要

提出了一种高效的图像认证系统。从图像的WFA编码中提取认证签名。对于更具有纹理性而非基于颜色的噪声，我们使用Local-Binary-Pattern滤波器对图像进行变换，然后将其转换为自动机。与以前的工作不同，我们提出了一种结合WFA权重的技术。

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Weighted finite automata based on local patterns for image authentication

This paper presents an efficient image authentication system. The authentication signature is extracted from WFA encoding of the image. For noises that are more textural rather than color-based, we transform the image using a Local-Binary-Pattern filter, which is then converted to automata. We present a technique that incorporates the weights of the WFA, unlike previous works.

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来源期刊

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)

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