The next stage of fingerprinting doesn’t involve touching anything at all.
100 years, recording people’s fingerprints has involved them pressing their fingertips against a surface. Originally this involved ink but has since moved to sensors embedded in scanners at airports and phone screens.
So-called contactless fingerprinting technology uses your phone’s camera and image processing algorithms to capture people’s fingerprints. Hold your hand in front of the camera lens and the software can identify and record all the lines and swirls on your fingertips. The technology, which has been in development for years, is ready to be more widely used in the real world. This includes use by police—a move that worries civil liberty and privacy groups.
Contactless fingerprinting works using several processes, says Chace Hatcher, vice president of technology at Telos, a fingerprinting technology company. “The underlying component of this is an image processing algorithm that works with computer vision principles to transform the photograph of fingers into a machine-matchable fingerprint,” Hatcher says.
To accurately collect someone’s fingerprints, a person’s hand should be around five centimeters away from a phone’s camera, Hatcher says. From here, the company’s machine learning algorithms identify your fingertips and process the image. The system, Hatcher says, is able to detect the ridges that define your fingerprint by identifying shadows and lighter areas. “We need a camera that has autofocus on it,” Hatcher says.
Last week, Telos was announced as a joint winner of a US National Institute of Standards and Technology competition, which
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