Researchers from Holst Centre have demonstrated a new class of flexible, large-area sensor technology for detecting fingerprints and palmprints.
At less than 0.2 mm thick and with no bulky prisms or moving parts, the new sensors can be embedded into objects such as mobile phones and door handles to create “invisible” yet secure access control systems that can tell if the print is from a living person rather than a phantom or counterfeit.
The technology, which paves the way to low-cost sensors for large-area fingerprint and palmprint scanners.
Two demonstrators will showcase the technologies potential for high resolution and large active areas.
Demonstrator 1: Measuring 6 cm x 8 cm, a 200-ppi demonstrator is large enough for 4-finger scanners that are currently used by border control authorities and delivers sufficient image quality for basic identification applications.
Demonstrator 2: A slightly smaller 500-ppi demonstrator offer even higher image quality, compatible with FBI standards and enough for law enforcement agencies to visualise minutia and pores for more robust identification.
As with Holst Centre’s earlier flexible X-ray detectors, the fingerprint sensors combine an organic photodiode frontplane, an oxide thin-film transistor (TFT) backplane (originally developed for flexible displays), and a thin-film barrier for protection against the environment.
All three technological elements have been or are being transferred to industry for scale-up and commercialisation.
The sensors read the finger-print or palm print by detecting visible light (400 nm to 700 nm) reflected from the surface of the skin.
However, they can also detect light that penetrates someway into the skin before being reflected. This allows them to sense a heartbeat from changes in the capillaries within the hand, and thus verify that the print comes from a live person.
By using different photodiode materials, the sensors’ capabilities can be extended to other wavelengths such as near infrared (NIR).
This could enable new identification verification modes based on for example the pattern of veins in a hand, which is believed to be even more specific to an individual than a fingerprint.
NIR sensors could also be used in other applications, such as blood oxygenation monitoring, or for night vision and 3D facial recognition.
“The flexible fingerprint sensor demonstrator shows the versatility and maturity of the flexible electronics technologies that Holst Centre is developing. With the underlying technology already in use in the flat-panel industry, there is a fast route to manufacturing and we are looking for industrial partners to take that step.”
Hylke Akkerman, Program Manager at Holst Centre