基于小波奇异值分解的零比特水印保护生物特征图像

Ankita Dwivedi, Abhilasha Singh, M. Dutta
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引用次数: 1

摘要

生物识别技术结合了图片,例如虹膜滤镜、指纹、掌纹,这些都能突出每个人的独特性。由于这些图片在许多应用程序中都具有功能,例如,获取控制、军事、CBI检查、ID等,因此其安全性是一个重要的问题。一种验证生物特征图像的方法是数字水印。习惯的水印会破坏图像,导致数据丢失。事实上,一点点扭曲就会让人的生物特征无法辨认。因此,迫切需要一种不以任何方式扭曲原始图像的水印方案。本文提出了一种零比特水印策略,该策略利用奇异值分解(SVD)后的离散小波变换(DWT),从生物特征图像中生成一种区分证明码。探索结果表明,即使在各种图像准备攻击中,分离的特殊亮点也非常稳定,因此声明其对分类生物识别图像的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wavelet-SVD based Zero-Bit Watermarking for Securing Biometric Images
The Biometric incorporates pictures, for example, iris filters, fingerprints, palm prints which have fine highlights of uniqueness for every person. Since, these pictures are functional in numerous applications, for example, get to control, military, CBI examination, ID, and so forth, its security is a significant concern. A methodology of verifying biometric pictures can be Digital Watermarking. Customary watermarking can mutilate the picture that causes data loss. Indeed, a little contortion can leave biometric of an individual unrecognizable. So here is an urgent requirement for a watermarking plan that doesn't misshape the original picture by any means. This paper presents a watermarking of zero bit strategy in which one of a kind distinguishing proof codes are produced from biometric pictures by applying Discrete Wavelet Transform (DWT) trailed by Singular Value Decomposition (SVD). Exploratory outcomes delineate that exceptional highlights separated are profoundly steady even by various picture preparing attacks and henceforth declare its value for classified biometric pictures.
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