可见光和近红外光下信号域多重面部生物特征的模板保护

Simon Kirchgasser, L. Debiasi, R. Schraml, H. Hofbauer, A. Uhl, Jonathan N. Boyle, J. Ferryman
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引用次数: 2

摘要

为了克服生物识别应用中的隐私问题,引入了可取消生物识别等模板保护技术。我们对块重新映射和翘曲进行ISO/IEC标准24745合规评估,重点关注识别性能问题以及安全性和不可链接性方面。将这两种模板保护方案应用于信号(图像)域的多生物特征数据集。该数据集包括二维人脸、虹膜和眼周图像,这些图像不仅使用可见光(VIS),还使用近红外光(NIR)获取。对于所使用的数据,本研究首次在VIS/NIR二维人脸、虹膜和眼周生物识别的信号域中应用和评估可取消模板保护方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Template Protection on Multiple Facial Biometrics in the Signal Domain under Visible and Near-Infrared Light
Template protection techniques like cancellable biometrics have been introduced in order to overcome privacy issues in biometric applications. We conduct an ISO/IEC Standard 24745 compliant assessment of block re-mapping and warping focusing on recognition performance issues as well as security and unlinkability aspects. Both of these template protection schemes are applied on a multi-biometrics dataset in the signal (image) domain. The dataset includes 2D face, iris and periocular images which have been acquired not only using visual light (VIS) but also near-infrared light (NIR). With respect to the used data, this is the first study that applies and evaluates cancellable template protection methods in the signal domain on VIS/NIR 2D face, iris and periocular biometrics.
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