Researchers at the University of New South Wales have developed a technique that identifies individuals using the unique pattern of veins on the back of their hands.
The researchers used 500 photos of the hands of 35 people to train a neural network to connect the pattern of veins to a particular subject. The model identified the test subjects with an accuracy rate of 99.8%, then identified four new subjects not included in the original dataset with a 96% accuracy rate.
Researcher Syed Shah at the university said vein detection is reliable for people of all ethnicities and is less vulnerable to attacks than existing biometric tests using fingerprints or face recognition. The technique potentially could be adapted for use with smartphones and CCTV cameras, Shah said.
From New Scientist
View Full Article – May Require Paid Subscription
Abstracts Copyright © 2021 SmithBucklin, Washington, DC, USA
No entries found