EyeVerify VP discusses eye pattern recognition integration for mobile devices
EyeVerify has had a notable 2015, particularly in the last quarter of the year when Chinese smartphone manufacturers nubia and ZTE announced they have both integrated EyeVerify’s eye pattern recognition technology in their latest Android smartphone models.
Eyeprint ID is a patented, software-only biometric solution that transforms a selfie into a security key, which is 99.99% accurate and extremely scalable.
Users are able to authenticate and unlock their phones in less than one second, providing employees and customers with password-free mobility.
Additionally, payment grade accuracy is built into the current version of Eyeprint ID, which will enable future use cases for mobile payments and financial services on those smartphones integrated with Eyeprint ID technology.
In an interview with BiometricUpdate.com, EyeVerify’s EVP of global sales and marketing Chris Barnett discussed the eye pattern recognition technology for the mobile device market, Eyeprint ID’s integrations in various smartphones, and defining standards around payment grade biometrics.
Can you discuss the role Chinese mobile device manufacturers have had in driving the biometrics market?
Chris Barnett: The main driver of biometrics in the smartphone market is, of course, a non-Chinese manufacturer – Apple. However, where Apple decided early on to focus on fingerprint, several of the Chinese device manufacturers are taking the approach of offering their users different biometric modalities. Users like choice, and can opt to use a different biometric in different situations.
EyeVerify recently integrated its eye pattern recognition technology in the nubia Z9 smartphone. Does the company have any plans to integrate the technology in other smartphone models?
We like to let our partners announce their new devices first, but I look forward to discussing additional smartphones as that information becomes publicly available in 2016. I can mention, however, that the ZTE launched the Blade S7, the Axon and the Axon Mini with Eyeprint ID around the same time as nubia’s Z9 3rd Anniversary Edition announcement. In addition, we’re looking forward to being able to share news regarding several financial services partners next year.
How accurate is EyeVerify’s eye pattern recognition technology?
There have been several studies conducted around the accuracy of Eyeprint ID that show that Eyeprint ID has a 1/50,000 FAR rate with an FRR rate of less than 2%. This is the same as the FAR published by Apple for Touch ID, and the FAR required by Google in its recent fingerprint specifications.
EyeVerify CEO and founder Toby Rush recently proposed that the biometrics industry needs to define standards around payment grade biometrics. Can you discuss how the creation of these standards would help people determine the strength of a biometric solution?
One of the questions we get all the time is, “is it secure enough?” The answer depends on the goal. A 1/10,000 False Accept Rate is still better than a PIN code and may be just fine for unlocking a cell phone. However, logging in to a bank account or processing a transaction should require a higher level of accuracy. The idea of payment grade is to set parameters that the finance and payments authentication ecosystem agrees biometric solutions should meet to be “good enough.” Biometrics solutions that meet those parameters based on independent analysis would be certified, and banks, payments providers, merchants and users would know at a glance that the biometric solution in question meets standard requirements.
What are some other key drivers for eye pattern recognition and the biometrics market as a whole, as we head into 2016?
I can’t address the sectors of the biometrics industry in which we do not play – surveillance, for example. However, for mobile biometric authentication, we’ll see the continuation of trends from this year. The continued evolution of smartphones into increasingly powerful devices with powerful sensors will further the use of biometrics as people continue to expand the ways they use their smartphones. In the near term, this means more mobile banking, mobile payments, shopping apps, etc. Longer term, it could mean accessing healthcare or education records, which will require secure authentication solutions as well. The convenience, privacy and security provided in biometrics will drive adoption, by companies providing the services and their users.
The second large driver is the shift to multi-modal and multi-layered security solutions. While fingerprint recognition is off to a great start and will continue to be a strong contributor as the market moves forward, the application of biometrics solutions for authentication will not stop at a single biometric modality. Multimodal and/or multi-step solutions offer additional layers of security that can’t be achieved with a single biometric, which will expand the adoption of different biometric modalities.