When selecting a mobile biometric identity verification solution, you will have to make a decision about whether you want to move forward with a localized or cloud-based model.
What’s the better option?
In a localized biometrics setup, the biometric engine is stored in the hardware of the actual device itself. Some companies use localized biometrics if they are skeptical about trusting biometric data in the cloud. It’s also slightly faster, but only in nanoseconds.
There are, however, several disadvantages to using a purely localized biometrics solution. For instance, it’s not possible to create a single cross-channel identity using a localized solution. Plus, there is no easy way to back up biometric data in a localized setup. And there is limited capacity to integrate machine learning.
In a purely cloud-based model, biometric data is stored on a private server instead of on a device. The cloud also makes it possible to set up a universal interface. And it’s easy to integrate machine learning into the biometric system, too. So with the cloud, biometrics can be much more flexible and user-friendly. What’s more, it’s much easier to perform updates on cloud-based models.
VoiceVault can actually give you the best of both worlds, with its hybrid model voice biometric identity verification solution. Using the hybrid model, a user can unlock his or her device without having any connectivity — like if they are in a tunnel. The voiceprint sample will be matched on device, then as soon as connectivity is established, it can be used for cloud-based authentication.
To learn more about VoiceVault’s unique approach to biometrics, click here or contact us. For an additional perspective on the differences, you may also consider reading the recent white paper from Acuity Market Intelligence.