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Multimodal biometric template authentication of finger vein and signature using visual cryptography

机译:使用视觉加密技术对手指静脉和签名进行多峰生物特征模板认证

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In this paper personal verification method using finger-vein and signature is presented. Among many authentication systems finger-vein is promising as the foolproof method of automatic personal identification. Finger-vein and signature image is pre-processed and features are extracted using cross number concept and principle compound analysis. Fusion technique is used to fuse the finger vein and signature images. Then the visual cryptographic scheme is applied for the biometric template to generate the shares. The shares are stored in a separate database, and then the biometric image is revealed only when both the shares are simultaneously available. At the same time, the individual image does not reveal the identity of the biometric image. The proposed work is evaluated with evaluation metrics FAR, FRR and accuracy.
机译:本文提出了一种使用手指静脉和签名的个人验证方法。在许多身份验证系统中,手指静脉有望成为自动个人识别的万无一失的方法。使用交叉数概念和原理复合分析对手指静脉和签名图像进行预处理,并提取特征。融合技术用于融合手指静脉和签名图像。然后,将视觉密码方案应用于生物特征模板以生成份额。共享存储在单独的数据库中,然后仅当两个共享同时可用时才显示生物特征图像。同时,单个图像不会显示生物特征图像的身份。拟议工作以评估指标FAR,FRR和准确性进行评估。

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