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A robust biometric watermark-based authentication scheme

机译:强大的基于生物特征的水印认证方案

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In this paper, we propose a novel technique in which biometric watermark, namely, fingerprint is used as authentication information. To effectively verify an image by fingerprint watermark, we utilize some techniques like Gabor algorithm, locally adaptive thresholding, Hilditch's thinning method together with heuristic rules, and Hamming measurement to optimally extract minutiae vector from fingerprint as well as improve accuracy of matching process. Furthermore, to make our scheme robust, the lowest frequency of DCT blocks is chosen to hold watermark. With proposed method, the authentication scheme can achieve high capacity and good quality. The experimental results show that our algorithm can be robustness against to JPEG compression, brightness and contract modification, Gaussian noise, adding blur, cropping, rotation, scale, translation, edge detection, emboss, outline, bulge, twist, sharp image.
机译:在本文中,我们提出了一种新的技术,其中将生物特征水印(即指纹)用作身份验证信息。为了通过指纹水印有效地验证图像,我们利用Gabor算法,局部自适应阈值,Hilditch的稀疏方法以及启发式规则以及Hamming测量等技术从指纹中最佳提取细节矢量,并提高匹配过程的准确性。此外,为了使我们的方案更健壮,选择了最低频率的DCT块来保持水印。利用所提出的方法,认证方案可以实现高容量和良好的质量。实验结果表明,我们的算法对JPEG压缩,亮度和收缩修改,高斯噪声,添加模糊,裁剪,旋转,缩放,平移,边缘检测,浮雕,轮廓,凸出,扭曲,清晰图像具有鲁棒性。

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