走向无人值守和隐私保护的边境管制

C. Busch, A. Nouak, Xuebing Zhou, F. Deravi, M. van der Veen, Jean-Marc Suchier
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引用次数: 4

摘要

自从欧盟成员国开始实施欧盟理事会第2252/2004号关于护照安全特征和生物特征标准的条例以来,所有新的欧洲护照都整合了生物特征数据。三维面部模型的额外集成保证了边境控制应用程序的显著性能增强。通过结合面部的几何和纹理通道信息,3D面部识别系统提供了更好的鲁棒性,同时能够在图像采集过程中处理姿势变化和有问题的照明条件。为了评估三维人脸识别的潜力,3D人脸集成项目作为欧洲合作研究框架计划的一部分于2006年4月启动。本文概述了本课题的研究目标和方法:不仅要提高识别性能,而且要开发一种新的抗伪采集系统。此外,生物识别参考资料中储存的模板数据的保护方法正在开发中,以增强整个系统的隐私性和安全性。多重生物识别技术的使用也是3D人脸项目的一个关键特征,解决了系统的性能、鲁棒性和灵活性目标。
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Towards Unattended and Privacy Protected Border Control
Biometric data have been integrated in all new European passports, since the member states of the European Union started to implement the EU Council Regulation No 2252/2004 on standards for security features and biometrics in passports. The additional integration of three-dimensional facial models promises significant performance enhancements for border control applications. By combining the geometry-and texture-channel information of the face, 3D face recognition systems provide improved robustness while being able to handle variations in poses and problematic lighting conditions during image acquisition. To assess the potential of three-dimensional face recognition, the 3D Face Integrated Project was initiated as part of the European Framework Program for collaborative research in April 2006. This paper outlines the research objectives and the approach of this project: Not only shall the recognition performance be increased but also a new, fake-resistant acquisition system is to be developed. In addition, methods for protection of the stored template data in the biometric reference are under development to enhance the privacy and security of the overall system. The use of multi-biometrics is also a key feature of the 3D Face project addressing the performance, robustness and flexibility targets of the system.
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