Enhanced Identity Check

Use advanced biometric technology and video-based challenges to verify customer presence.

About Service

This check leverages ComplyCube’s ISO-certified (PAD Level 2) Biometric AI to verify both liveness and facial similarity.

It works by analyzing a video selfie that includes a series of motion and recital challenges, then comparing it with the photo on an official ID document to confirm both belong to the same individual.

The Enhanced Identity Check can detect advanced spoofing vectors, using Presentation Attack Detection (PAD) technology, including but not limited to:

  • Printed mask attacks: Where masks with cut-outs are used to mimic real faces.

  • Printed photo attacks: Where fraudsters use printed photos.

  • Video replay attacks: Where pre-recorded or virtual videos attempt to simulate liveness.

  • 3D mask attacks: Where silicone or plastic masks are used to impersonate individuals.

By combining biometric matching with liveness detection, the service ensures that only genuine customers are verified. This makes it particularly effective for high-risk customer onboarding, account opening, and more.

In addition, several jurisdictions mandate video-based identity verification as part of their regulatory frameworks, and this service helps organizations meet those requirements seamlessly.

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On a successful Enhanced Identity Check, your customer’s facial biometrics will be automatically enrolled (if enabled on your plan). This helps prevent fraud related to multiple registrations under different identities and enables face-based authentication for future interactions.

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This check can only be performed through our Hosted Solution, Web SDK, or native Mobile SDKs.

Analysis performed

The Enhanced Identity Check performs multiple layers of analysis to validate liveness, authenticity and prevent fraud.

The diagram below outlines the key analysis categories.


Enhanced Identity Check Overview

Detailed verification checks

Analysis
Verifications Performed

Face Analysis

  • Facial similarity: Compares the submitted video with the ID photo to confirm both belong to the same person. Returns a confidence score between 0–100%, where 100% indicates a perfect match and 0% indicates no match at all.

  • Previously enrolled face: Detects if the same face has already been registered using different customer details.

Authenticity Analysis

  • Spoofed image analysis: Indicates whether the images are manipulated, copied from the internet, or are known blacklisted images.

  • Liveness check: Confirms the customer is physically present and not a spoof attempt. This involves advanced biometric and anti-spoofing techniques, such as:

    • 3D facial mapping

    • Skin texture and micro-expression analysis

    • Pixel-level tampering detection

    • Virtual camera detection

    • Mask and disguise recognition

    • Proprietary anti-spoofing techniques

    Returns a confidence score between 0–100%, where 100% indicates a highly reliable live presence and 0% indicates a likely spoof attempt.

  • Voice challenge analysis: Indicates if the customer has successfully completed the voice challenge.

  • Action challenge analysis: Indicates if the customer has successfully completed the action challenge.

Integrity Analysis

  • Face detection: Ensures the expected number of faces are present in the video and that the image quality is sufficient for reliable analysis.

Check duration

An Enhanced Identity Check takes an average of 20 seconds to complete.