Enhancements added to Regula facial biometric verification

Face recognition conceptual image - Regula enhances biometric technology

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Regula has revealed that its Face SDK liveness detection technology has been redesigned and offers a balance between a simple UX and high reliability by using the zero-trust concept.

According to the company, every session has its own unique parameters that cannot be reused by fraudsters for tampering, so the enrollment process is more accurate and fraud-resistant. Exhaustive sets of checks are executed on a backend to protect against different attack vectors: printed photo, mask, screen replay and so on. At the same time, the updated liveness check is intuitively clear and convenient for the user and is completed within a second.

Reliable enrollment

Regula says that thanks to the addition of a new feature called Face Image Quality Assessment, the solution now instantly validates a digital photo against predefined standards that can be either unique to a company to comply with its internal standards or compiled into the desired combination of over 45 parameters of the ICAO Standard or the ISO/IEC 19794-5:2011 Standard. Also, there is an option to choose an out-of-the-box preset for photo validation according to ICAO, Schengen visa or US visa standards.

The Face Image Quality Assessment feature is designed for checking photo validity for official documents, like visas, permits, etc., both in governmental and commercial organizations, Regula says. However, it also has a more general application, as it removes the time-consuming manual assessment of photos which is used for on-boarding clients, issuing permits, granting admissions and so on.

Real age verification

The company has additionally enhanced the automatic age verification capabilities in its Face SDK. The updated techniques employ neural network functionality, so instead of simply outputting “adult” or “child” after the analysis, the solution automatically predicts the age range of a user from their photo.

Extensive facial attribute evaluation

Regula’s Face SDK also automatically identifies whether the person in the photo is wearing a medical mask, glasses, head covering, etc. All that is required is to upload an image and receive a list of facial attributes. This can help define whether the eyes are occluded, closed or open; whether the facial expression is neutral or emotional; and whether or not there is a smile, glasses, sunglasses, head covering, medical mask, headphones, etc.

Enhanced face identification

According to the company, the updated Face SDK offers significantly improved face search among a variety of photos in a client’s database. Using only photos of faces, companies can double-check the identities of their clients to make sure they’re dealing with legitimate users. Also, the solution facilitates biometric access control, as it empowers organizations with the tools to compare a person with the photo they provided and automatically grant or restrict access when the check is complete.

“We never stop improving our identity verification solutions to empower businesses with new opportunities as major processes rapidly become digital. With these new features, Regula‘s Face SDK offers a comprehensive approach to biometric verification for a broader variety of tasks, be it fully remote client onboarding, KYC checks, access or border control and much more,” said Ihar Kliashchou, Chief Technology Officer at Regula.

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