【作者】 张毅楠；

【导师】 孔俊；

【作者基本信息】 东北师范大学 ， 计算机应用与技术， 2010， 硕士

【摘要】 随着因特网的进一步发展与流行,数字信号处理技术和多媒体信息安全显得日益重要。信息隐藏技术作为信息安全的一个重要分支吸引了众多国内外学者及相关部门的目光。本文首先简要阐述了信息隐藏技术的研究史、基本原理、理论模型和经典算法等问题。介绍了信息隐藏技术在现实生活中与生物认证技术相结合的应用。目前基于图像内容特性的图像间的相关性分析密写方法成为信息隐藏领域的主导趋势,但此类研究尚处于不成熟阶段,没有代表性的算法和理论模型。本文提出了一种充分利用图像之间相关性的方法,分析载体图像和秘密图像之间的相关性,并且将嵌入信息由原来的秘密图像改为能量小的残差图像。为了实现嵌入量与隐蔽性的双达标,又将原有的空域算法进行改进。通过对所提出的算法进行了大量仿真实验。结果表明进行相关性分析的方法无论是不可见性还是鲁棒性能都优于忽略图像之间相关性的原始方法。之后在与远程生物认证的结合中依然具有明显的优势。更多还原

【Abstract】 Recently, with the development and popularity of the Internet, digital signal processing technology and multimedia information security become increasingly important. Information hiding technology as an important branch of information security has attracted many scholars and relevant departments’eyes.This paper briefly describes the history of information hiding technology research, basic principles, theoretical models and classical algorithms and so on. Introduction of information hiding technology in real life with the combination of biometric technology applications.This paper proposes a novel multimodal biometric images hiding approach based on correlation analysis, Compared with existing methods, we representing the biometric images using the corresponding content of cover image results to the generation of the residual images with much less energy. Hiding the residual images instead of the original secret images into the cover image. Embedded in definite,The original Spatial domain algorithm has been improved. Extensive experimental results demonstrate that the proposed approach not only provides good imperceptibility, but also resists some common attacks and assures the effectiveness of network-based multimodal biometrics identification.更多还原