As the most commonly photographed objects are faces, there is potential in mining detailed facial images for hidden information, researchers said.
Until now, photographers might reasonably have assumed that their own face was absent from the image. But research, led by Dr Rob Jenkins from University of York overturns this assumption.
By zooming in on high-resolution passport-style photographs, Jenkins and co-researcher, Christie Kerr from the University of Glasgow were able to recover the faces of bystanders from reflections in the eyes of photographic subjects.
To establish whether these bystanders could be identified from the reflection images, the researchers presented them as stimuli in a face-matching task.
Observers who were unfamiliar with the bystanders' faces performed at 71 per cent accuracy while participants who were familiar with the faces performed at 84 per cent accuracy.
In a test of spontaneous recognition, observers could reliably name a familiar face from an eye reflection image.
"The pupil of the eye is like a black mirror. To enhance the image, you have to zoom in and adjust the contrast.
The researchers say that in crimes in which the victims are photographed, such as hostage taking or child sex abuse, reflections in the eyes of the photographic subject could help to identify perpetrators.
Images of people retrieved from cameras seized as evidence during criminal investigations may be used to piece together networks of associates or to link individuals to particular locations.
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