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Protecting Digital Fingerprint in Automated Fingerprint Identification System using Local Binary Pattern Operator

机译:使用本地二进制模式操作员保护自动指纹识别系统中的数字指纹

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The Local binary pattern (LBP) operators, which measure the local contrast within a pixel's neighbourhood, have been successfully applied to texture analysis, face recognition, and image retrieval. In the paper, we present a new application of the LBP operators for securing digital fingerprint in AFIS System (Automated Fingerprint Identification System), while inserting a robust watermark (ID image and Face image) to increase not only security but also to facilitate the recognition of the person. To improve the security of the embedding, the watermarks are scrambled using Arnold technique and are then hidden in the fingerprint image of the corresponding person. Experimental results show that the proposed watermarking method is robust against commonly-used image processing operations, such as additive noise, luminance change, contrast enhancement, and JPEG compression while does not change the fingerprint features and maintains a good visibility of the original fingerprint images.
机译:衡量像素邻域内的本地对比的本地二进制模式(LBP)运算符已成功应用于纹理分析,面部识别和图像检索。 在本文中,我们在AFIS系统(自动指纹识别系统)中展示了用于保护数字指纹的LBP运营商的新应用,同时插入强大的水印(ID图像和面部图像),不仅增加安全性,还可以促进识别 这个人。 为了提高嵌入的安全性,使用Arnold技术扰乱水印,然后隐藏在相应人的指纹图像中。 实验结果表明,所提出的水印方法对共同使用的图像处理操作具有鲁棒,例如加性噪声,亮度变化,对比度增强和JPEG压缩,同时不改变指纹特征并保持原始指纹图像的良好可见度。

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