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Unfamiliar Face Matching With Driving Licence and Passport Photographs

机译:与驾驶执照照片相匹配的不熟悉的面部匹配

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摘要

Matching two different images of an unfamiliar face is difficult, although we rely on this process every day when proving our identity. Although previous work with laboratory photosets has shown that performance is error-prone, few studies have focussed on how accurately people carry out this matching task using photographs taken from official forms of identification. In Experiment 1, participants matched high-resolution, colour face photos with current UK driving licence photos of the same group of people in a sorting task. Averaging 19 mistaken pairings out of 30, our results showed that this task was both difficult and error-prone. In Experiment 2, high-resolution photographs were paired with either driving licence or passport photographs in a typical pairwise matching paradigm. We found no difference in performance levels for the two types of ID image, with both producing unacceptable levels of accuracy (around 75%-79% correct). The current work benefits from increased ecological validity and provides a clear demonstration that these forms of official identification are ineffective and alternatives should be considered.
机译:匹配两种不同的陌生面孔的图像很困难,尽管我们每天都在证明我们的身份时依赖这个过程。虽然以前与实验室照片一起工作表明,易于出现的性能易于出错,但很少有研究侧重于如何使用从官方形式识别的照片进行这项匹配任务。在实验1中,与会者匹配高分辨率,彩色面部照片与当前英国驾驶许可证照片在排序任务中的同一组人。我们的结果均均出现在30分中的19个错误的搭配,表明这项任务既困难则易于出错。在实验2中,在典型的成对匹配范例中,高分辨率照片与驾驶执照或护照照片配对。我们发现两种ID图像的性能水平没有差异,两者都产生了不可接受的准确度(约75%-79%正确)。目前的工作受益于增加生态有效性,并提供清晰的示范,即这些形式的官方识别是无效的,应考虑替代方案。

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