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一种用于指纹匹配系统的强大且不可逆的指纹模板。

A robust and non-invertible fingerprint template for fingerprint matching system.

作者信息

Trivedi Amit Kumar, Thounaojam Dalton Meitei, Pal Shyamosree

机构信息

Department of Computer Science and Engineering, National Institute of Technology, Silchar, India.

出版信息

Forensic Sci Int. 2018 Jul;288:256-265. doi: 10.1016/j.forsciint.2018.04.045. Epub 2018 May 20.

DOI:10.1016/j.forsciint.2018.04.045
PMID:29791890
Abstract

Fingerprint Recognition System is widely deployed in variety of application domain, ranging from forensic to mobile phones. Its widespread deployment in various applications were person authentication are required, has caused concern that a leaked fingerprint template may be used to reconstruct the original fingerprint and the reconstructed fingerprint can be used to circumvent all the applications the person is enrolled. In this paper, a non-invertible fingerprint template that stores only the relative geometric information about the minutiae points is proposed. The spatial location of the minutiae points in original fingerprint and its orientations are not available in the proposed template which makes it impossible to estimate the orientation of fingerprint from the template. The proposed template is invariant to rotation, translation and distortion and immune to reconstruction algorithm. The proposed system is experimented using standard FVC2000 database and yields better results in terms of EER and FMR as compared with latest techniques.

摘要

指纹识别系统广泛应用于从司法鉴定到手机等各种应用领域。它在需要进行人员身份验证的各种应用中的广泛部署引发了人们的担忧,即泄露的指纹模板可能被用于重建原始指纹,而重建的指纹可用于规避该人员注册的所有应用。本文提出了一种仅存储关于细节点的相对几何信息的不可逆指纹模板。在所提出的模板中,原始指纹中细节点的空间位置及其方向不可用,这使得无法从模板估计指纹的方向。所提出的模板对旋转、平移和变形具有不变性,并且对重建算法具有免疫性。使用标准的FVC2000数据库对所提出的系统进行了实验,与最新技术相比,在错误接受率(FAR)和错误拒绝率(FRR)方面产生了更好的结果。

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