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首页> 外文期刊>International Journal of Applied Engineering Research >Hiding Fingerprint Minutiae in Multiple Facial Images Using BPCS
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Hiding Fingerprint Minutiae in Multiple Facial Images Using BPCS

机译:使用bpcs隐藏在多个面部图像中的指纹细节

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摘要

Recently, biometric systems have been subjected to various attacks, making their security and integrity imperative. In this research, a robust and immune method was proposed against potential attacks on biometric data. The suggested method is to hide the minutiae of a person's fingerprint in the bit plane of a several randomly selected individual facial images by a particular key using BPCS steganography. The key used to select the host images is encrypted using the RSA algorithm. To compute the performance of the proposed scheme, different experiments were achieved with different biometric databases. The average PSNR of stego images shows low degradation. The PCA as a face recognition approach was adopted. The well known metrics; FAR, FRR, and Accuracy of the system are computed to facial images before and after fingerprint hiding. The results of the implementation of the proposed method proved its efficiency by hiding the fingerprint minutiae in host images in a safe manner. Also, the proposed method proved its ability in increasing the security of both the fingerprint minutiae and facial images.
机译:最近,生物识别系统已经受到各种攻击,使其安全性和完整性势在必行。在该研究中,提出了一种稳健和免疫方法,抵抗对生物识别数据的潜在攻击。建议的方法是通过使用BPCS隐写术通过特定密钥在几个随机选择的单个面部图像的位平面中隐藏一个人指纹的细节。使用RSA算法加密用于选择主机图像的密钥。为了计算所提出的方案的性能,通过不同的生物识别数据库实现了不同的实验。 STEGO图像的平均PSNR显示出低劣的降级。采用PCA作为面部识别方法。众所周知的指标;在指纹隐藏之前和之后,系统的FRR和精度计算到面部图像。通过以安全的方式隐藏在主机图像中的指纹细节,拟议方法的实施结果证明了其效率。此外,所提出的方法证明了其增加指纹细节和面部图像的安全性的能力。

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