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使用面部变形的欺诈性身份识别:对人类识别和自动识别的实验。

Fraudulent ID using face morphs: Experiments on human and automatic recognition.

作者信息

Robertson David J, Kramer Robin S S, Burton A Mike

机构信息

Department of Psychology, University of York, York, United Kingdom.

出版信息

PLoS One. 2017 Mar 22;12(3):e0173319. doi: 10.1371/journal.pone.0173319. eCollection 2017.

DOI:10.1371/journal.pone.0173319
PMID:28328928
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5362102/
Abstract

Matching unfamiliar faces is known to be difficult, and this can give an opportunity to those engaged in identity fraud. Here we examine a relatively new form of fraud, the use of photo-ID containing a graphical morph between two faces. Such a document may look sufficiently like two people to serve as ID for both. We present two experiments with human viewers, and a third with a smartphone face recognition system. In Experiment 1, viewers were asked to match pairs of faces, without being warned that one of the pair could be a morph. They very commonly accepted a morphed face as a match. However, in Experiment 2, following very short training on morph detection, their acceptance rate fell considerably. Nevertheless, there remained large individual differences in people's ability to detect a morph. In Experiment 3 we show that a smartphone makes errors at a similar rate to 'trained' human viewers-i.e. accepting a small number of morphs as genuine ID. We discuss these results in reference to the use of face photos for security.

摘要

众所周知,识别陌生面孔很困难,这可能会给身份欺诈者提供可乘之机。在此,我们研究一种相对较新的欺诈形式,即使用包含两张面孔之间图形变形的照片身份证。这样的证件可能看起来足够像两个人,从而可以作为两人的身份证件。我们进行了两项针对人类观察者的实验,以及第三项针对智能手机面部识别系统的实验。在实验1中,要求观察者匹配面孔对,但未事先告知他们其中一对可能是变形面孔。他们非常普遍地将变形面孔视为匹配对象。然而,在实验2中,经过非常简短的变形检测训练后,他们的接受率大幅下降。尽管如此,人们检测变形面孔的能力仍存在很大的个体差异。在实验3中,我们表明智能手机出错的概率与“经过训练”的人类观察者相似——即把一小部分变形面孔当作真实身份证接受。我们结合面部照片在安全方面的应用来讨论这些结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/444a/5362102/324e2c7b5aa8/pone.0173319.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/444a/5362102/3526f8472177/pone.0173319.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/444a/5362102/3ba24ac805d4/pone.0173319.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/444a/5362102/4bcd370a87e9/pone.0173319.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/444a/5362102/6a9efa0df1d1/pone.0173319.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/444a/5362102/abb97d6a9ec6/pone.0173319.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/444a/5362102/659d4dcebdc0/pone.0173319.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/444a/5362102/324e2c7b5aa8/pone.0173319.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/444a/5362102/3526f8472177/pone.0173319.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/444a/5362102/3ba24ac805d4/pone.0173319.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/444a/5362102/4bcd370a87e9/pone.0173319.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/444a/5362102/6a9efa0df1d1/pone.0173319.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/444a/5362102/abb97d6a9ec6/pone.0173319.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/444a/5362102/659d4dcebdc0/pone.0173319.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/444a/5362102/324e2c7b5aa8/pone.0173319.g007.jpg

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Face averages enhance user recognition for smartphone security.面部平均值提高了智能手机安全的用户识别能力。
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Passport officers' errors in face matching.护照官员在面部匹配方面的错误。
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Perceptual and computational detection of face morphing.面孔变形的知觉和计算检测。
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Hyper-realistic Face Masks in a Live Passport-Checking Task.实时护照检查任务中的超逼真面罩。
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