Redrock Biometrics develops palm recognition technology for large group identification
Palm biometric provider Redrock Biometrics has launched its PalmID-X identification solution at the Finovate Spring 2019 event to expand the applicability of biometric identification to large groups of people for seamless services and transactions, according to a company announcement.
PalmID-X captures palm prints, subdermal veins, or both, and proprietary PalmID algorithms match them across a wide range of palm positions, orientations, and illumination conditions, the company says. The SaaS matching component is capable a palm signature against a database of tens of thousands of signatures in a fraction of a second, and biometric data stored in the cloud is encrypted and anonymized, without requiring decryption for matching.
“Identification is much more challenging task than authentication. Most biometric modalities do not have sufficient accuracy for identifying a person in a group larger than a thousand,” says Redrock Biometrics Co-founder Lenny Kontsevich. “Palm biometrics is different. It allows to raise the limit more than tenfold: from a thousand to tens of thousands.”
PalmID-X matching algorithms can also combine facial biometrics, location, and text metadata to narrow search results.
“A dramatic expansion of the group size, provided by PalmID-X service, opens new exciting applications for identification. Every day I carry two RFID fobs: one for a large public garage and another for an office building. PalmID-X is capable to make these fobs obsolete once and forever by checking me using my palm,” says Redrock Biometrics CEO and Co-founder Hua Yang. “Or, for example, frequent shoppers of a supermarket will be able to pay at checkout by mere showing palm to a payment terminal. There is no more need to carry credit cards or cash. Once you register your palm in the system, you hold your identity literally in the palm of your hand.”
Redrock Biometrics palm print authentication was implemented in Epson’s smart glasses platform a year ago, in what the companies said at the time was the first biometric authentication solution for a consumer AR headset.