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Protecting digital fingerprint in Automated Fingerprint Identification System using Local Binary Pattern operator

机译:使用本地二值模式运算符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:测量像素邻域内的局部对比度的局部二进制模式(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,我们介绍了LBP运算符在AFIS系统(自动指纹识别系统)中保护数字指纹的新应用,同时插入了鲁棒的水印(ID图像和人脸图像),不仅提高了安全性,而且还促进了识别人的。为了提高嵌入的安全性,使用Arnold技术对水​​印进行加扰,然后将其隐藏在相应人员的指纹图像中。实验结果表明,所提出的水印方法在不改变指纹特征并保持原始指纹图像良好可见性的前提下,对加性噪声,亮度变化,对比度增强和JPEG压缩等常用图像处理操作具有较强的鲁棒性。

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