How toothy smiles in photos may prevent identity fraud
Previous research has shown that it is difficult for people to match a pair of unfamiliar faces in photographs, presenting significant issues for authorities to spot identity fraud.PTI | Updated: 20-06-2018 15:23 IST | Created: 20-06-2018 15:23 IST
Previous research has shown that it is difficult for people to match a pair of unfamiliar faces in photographs, presenting significant issues for authorities to spot identity fraud. Research has also shown that new face morphing technology can not only deceive human eyes, but smartphone software as well.
To improve accuracy rates, researchers led by Mila Mileva from the University of York in the UK looked into the possibility that a smiling image of a person could be more easily matched to a different image of that same individual, as well as more easily distinguished from an image of a similar- looking identity.
"Photo ID is a significant part of our lives and yet we know that the human brain has a hard time matching photos of people to other photos and matching photos with the real-life person," said Mileva.
"Identity fraud is a real problem on many levels, so it is important that we do more research in this area to see how we can improve methods of identification," she said.
The team conducted three studies; one where 40 study participants were asked to match 60 unfamiliar images of neutral face expressions, much like a passport photo, with an open-mouth smiling face, and another where they compared neutral expressions with images of a closed smiling face.
They also asked 34 participants to match images where only the lower part of the face was visible.
In all three studies, researchers found that participants' success in matching two images of the same person was higher when an open mouth smile was displayed, as opposed to either a neutral image or a closed mouth smile.
Analysis of the results from study one found a nine per cent improvement in performance for smiling images when comparing two images of the same person and a seven per cent improvement when comparing images of two different, but similarly looking, people.
"As soon as there's a mismatch in emotional expression - comparing a smiling and a neutral image for example - the matching accuracy drops substantially," she said.
An image of a smiling person at passport check points, for example, could see an improved identification success rate compared to the neutral image, but a more practical solution could be to embed a smiling picture in the chip, so that passport officials have access to both a neutral image and a smiling image to assist them in their decision-making, researchers said.
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