Face Recognition Authentication
Security using face recognition solutions is the wave of the future. Users can access accounts and sign transactions online by simply taking a "selfie". The facial recognition software utilizes facial data points and next-generation liveness detection to accurately authenticate the user.
How does face recognition authentication work?
A simple "selfie" taken with any modern Android or iOS smartphone camera:
Creates a highly accurate and secure biometric template of a user's face using sophisticated machine learning algorithms
Enables users to authenticate using a 'selfie' which is compared with the stored biometric template
Ensures a proper match once a secure authentication match, based on an accuracy score, is complete
The user takes a series of “selfies” and our software does the rest; extracting a highly accurate biometric template from the “selfie,” then encrypting and storing it. To authenticate, the user simply takes a “selfie” and this is compared, one- to-one, with the stored biometric template. A proper match, based on an accuracy score, completes the secure authentication process in the background. Strong security is a snap.
Face Recognition is available as an optional feature in DIGIPASS for Apps
DIGIPASS for Apps provides a comprehensive feature set that natively integrates application security, two-factor authentication, multi-modal biometrics and electronic signing into your mobile applications.
Download the DIGIPASS for Apps Face Recognition informational under the Related Products section.
DIGIPASS for Apps Facial Recognition
Frictionless authentication, optimal user experience and quick deployment with face recognition technology