Mountain America Credit Union offers duel biometric login for mobile banking app

May 15, 2015 - 

Mountain America Credit Union has launched the beta release of a duel biometric mobile banking login feature, enabling mobile app users to login by swiping their finger or by taking a photo of their eye using their phone’s camera.

The duel biometric feature marks the first time a financial institution has combined fingerprint and eye-imaging technology to make biometrics available to mobile app users.

“Mountain America is excited to bring this innovation to our members, as biometric features are the future of enhanced online security,” said Shelby Peterson, manager of product strategy for Mountain America. “Biometrics not only ensure our mobile products are more secure, but also easier for members to use.”

The new biometric feature provides Mountain America members with an optional method of logging in to mobile banking without having to remember or enter a password while providing additional layers of authentication.

Biometric login is now available to Mountain America members on Apple devices and newer Android devices.

Mountain America developed the technology with Access Softek for the mobile banking platform side, and EyeVerify for the Eyeprint ID technology.

For fingerprint authentication, the sensor on the device scans the fingerprint, analyzes the ridges and converts it into a mathematical code that is stored in the mobile device and used to compare against future scans.

Users can store up to five fingers on their device, which is able to read fingerprints from any angle.

EyeVerify’s eye recognition uses an individual’s unique eyeprint, which serves as a map of blood vessels in the whites of the eyes, which is unique to each person. Each person has two eyeprints in each eye.

The initial enrollment process, which takes under a minute, requires the individual to take a photo of the eyeprint using a smartphone or tablet camera.

After that, individuals can log in using Eyeprint ID by simply taking a selfie, which matches the image against the stored image.

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About Justin Lee

Justin Lee has been a contributor with Biometric Update since 2014. Previously, he was a staff writer for web hosting magazine and website, theWHIR. For more than a decade, Justin has written for various publications on issues relating to technology, arts and culture, and entertainment. Follow him on Twitter @BiometricJustin.