Liveness ID verification check

The Liveness ID Verification check involves asking the individual to complete a video identity verification. During the process, they are typically required to present both their ID document and their face to the camera.

The system captures video footage and images of the ID and the face, which are then analyzed through several layers of verification:

• Comparison with declarative data (e.g. name, birthdate)
• Visual inspection of the ID against official templates from various countries
• Consistency check between the ID document and the live image of the individual

Configuration

In the settings, under Checks, ID Verification, you can configure the following:

Provider Selection

Choose your preferred provider between Veriff, Checkout, and Onfido

Validation Pattern

You can define how the system should handle approval and rejection based on the provider’s result:

• Vendor's approval: the check will be automatically approved if the provider approves it.
  Switch to Manual approval if you prefer to require manual confirmation for every approval.
• Vendor's rejection: the check will be automatically rejected if the provider rejects it.
  Switch to Manual rejection if you want a manual review before rejecting or restarting the check.

Coverage

Our document coverage by country may vary depending on the provider, but the following document types are supported worldwide across all countries:

• Passport
• National ID Card
• Driving License
• Residence Permit

Check results

The ID liveness verification solution evaluates multiple control points to ensure document authenticity, image integrity, and identity verification. The verification checks are grouped into the following categories:

• Data Consistency: Ensures the extracted document data aligns with expected formats and database records. This includes checks on name, date of birth, expiry date, document numbers, document type, gender, issuing country, and MRZ validation, as well as data validation and minimum accepted age compliance.
• Compromised Document: Detects signs of fraud or misuse by verifying the document against known compromised records and assessing repeat attempts, document database consistency, and document integrity reports.
• Image Integrity: Evaluates the quality and reliability of captured images, ensuring they meet verification standards. Checks include face detection, image quality, color picture presence, conclusive document quality, and source integrity.
• Visual Authenticity: Assesses whether the document is genuine and unaltered by examining security features, digital tampering, fonts, template authenticity, original document presence, and picture face integrity.
• Facial Similarity: Confirms that the individual in the selfie video matches the ID photo by performing face match analysis, liveness detection, and spoofing detection to prevent fraudulent submissions.