Billions of Smartphone Owners Will Soon Be Authorizing Payments Using Facial Recognition
An anonymous reader quotes a report from ZDNet: The next few years will see billions of users regularly using facial recognition technology to secure payments made through their smartphone, tablets or smartwatches, according to new analysis carried out by Juniper Research. Smartphone owners are already used to staring at their screens to safely unlock their devices without having to dial in a secret code; now, facial recognition will increasingly be deployed to verify the identity of a user making a payment with their handset, whether that's via an app or directly in-store, in wallet mode. In addition to facial features, Juniper Research's analysts predict that a host of biometrics will be used to authenticate mobile payments, including fingerprint, iris and voice recognition. Biometric capabilities will reach 95% of smartphones globally by 2025, according to the researchers; by that time, users' biological characteristics will be authenticating over $3 trillion-worth of payment transactions -- up from $404 billion in 2020. [...] "All you need for software-based facial recognition is a front-facing camera on the device and accompanying software," Nick Maynard, lead analyst at Juniper Research, tells ZDNet. "In a hardware-based system, there will be additional hardware layers that add additional security levels. It's increasingly important to differentiate because hardware-based systems are the more secure of the two." Maynard's research shows that between now and 2025, the number of handsets using hardware-based systems will grow by a dramatic 376% to reach 17% of smartphones. Juniper expects the number of smartphone owners using [software-based facial recognition systems] to secure payments to grow by 120% to 2025, to reach 1.4 billion devices -- that is, roughly 27% of smartphones globally. "Hardware-based systems obviously have additional costs per device," adds Maynard, "but the reason it is growing well is really that Apple has been driving it forward. They've made the technology a part of their high-end devices, and shown that hardware-based facial recognition technology can be done and can be very secure." "Software-based facial recognition is strong because it's very easy to deploy," Maynard continues, "but we are expecting a shift towards hardware-based systems as software becomes invalidated by fraudster approaches. Fraudster methods are always evolving, and the hardware needs to evolve with it."
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