Extended StirTrace benchmarking of biometric and forensic qualities of morphed face images
Extended StirTrace benchmarking of biometric and forensic qualities of morphed face images
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DOI：
10.1049/iet-bmt.2017.0147
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发表时间：
2018-07-01
期刊：
影响因子：
2
通讯作者：
Dittmann, Jana
中科院分区：
文献类型：
--
作者：
Neubert, Tom;Makrushin, Andrey;Dittmann, Jana
自 2014 年推出以来，面部变形伪造 (FMF) 攻击受到了生物识别和媒体取证研究界的高度关注。该攻击旨在创建人为削弱的模板，该模板可以成功匹配多人。如果成功，该攻击将对许多生物识别身份验证场景产生巨大影响，包括在自动边境管制口应用电子机读旅行证件 (eMRTD)。我们通过添加五个问题来扩展用于基准 FMF 攻击的 StirTrace 框架：变形图像质量的新颖三重定义、新颖的 FMF 实现（组合变形）、模拟 eMRTD 中使用的数字图像格式的后处理操作（护照缩放 15 kB）、自动人脸识别系统（VGG 人脸描述符）作为生物特征质量评估的附加手段以及用于 FMF 检测的两个特征空间（关键点特征以及关键点和 Benford 特征的融合）作为附加法医质量评估的手段。我们表明，除了两个噪声算子和 15 kB 的护照缩放之外，StirTrace 后处理操作对变形人脸图像的生物特征质量的影响可以忽略不计，对取证质量的影响取决于后处理的类型，并且新的 FMF 实现优于之前考虑的实现。
Since its introduction in 2014, the face morphing forgery (FMF) attack has received significant attention from the biometric and media forensic research communities. The attack aims at creating artificially weakened templates which can be successfully matched against multiple persons. If successful, the attack has an immense impact on many biometric authentication scenarios including the application of electronic machine-readable travel document (eMRTD) at automated border control gates. We extend the StirTrace framework for benchmarking FMF attacks by adding five issues: a novel three-fold definition for the quality of morphed images, a novel FMF realisation (combined morphing), a post-processing operation to simulate the digital image format used in eMRTD (passport scaling 15 kB), an automated face recognition system (VGG face descriptor) as additional means for biometric quality assessment and two feature spaces for FMF detection (keypoint features and fusion of keypoint and Benford features) as additional means for forensic quality assessment. We show that the impact of StirTrace post-processing operations on the biometric quality of morphed face images is negligible except for two noise operators and passport scaling 15 kB, the impact on the forensic quality depends on the type of post-processing, and the new FMF realisation outperforms the previously considered ones.