Platform

Facial Matching

Biometric Facial Matching on Mobile by ID-Pal

Facial Matching Biometrics

Biometric Facial Matching on Mobile by ID-Pal

Ensure the individual completing identity verification checks is the rightful owner of the identity document, using facial matching biometrics.

ID-Pal > Platform > Facial Matching Biometrics

Facial Matching Technology

How it works

Real-time identity verification using facial matching technology.

What our clients say...

Multi-Layered

Online Identity Verification

ID-Pal facial matching compares the face from an identity document to the face of the person completing the process, using information taken during Liveness Testing.

Our ID verification solution blends all our checks into one seamless, easy process.

Multi Layer Fraud Prevention by ID-Pal

Certified and Industry Accredited

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Facial Matching FAQs

What is Facial Matching Technology?

Facial matching technology is a sophisticated biometric tool used to verify and identify individuals by comparing digital images of faces. It’s widely used in security systems, mobile authentication, and by organisations to enhance identity verification processes, ensuring high levels of accuracy and security in real-time.

ID-Pal uses this technology to confirm that the face in a submitted ID matches the person present. A 50-point biometric facial comparison maps features as part of our identity verification process.

Facial matching technology significantly enhances security by providing a reliable, non-intrusive method of verifying identities. It’s highly effective in preventing unauthorised access and fraud, especially in sectors like banking, retail, and public security. By integrating facial matching into security protocols, organisations can ensure that only authenticated individuals access sensitive information or physical locations.

This technology also supports regulatory compliance efforts, helping institutions meet stringent standards set for identity verification and privacy.

Facial matching alone is insufficient for robust fraud prevention as it fails to confirm the authenticity of the identity document or that the image of the person image of the person submitting the information is a real live person

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