Biometric face matching software

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

Detect and block AI-driven fraud attempts

Verify users faster and reduce onboarding drop-off

Trusted by highly regulated industries

Biometric verification software

Detect fake identity documents and verify genuine users with AI-trained biometric feature detection

ID-Pal brings multiple verification layers together so you can apply the right checks to the right customer, at the right time.

Confirm identities securely and reliably​

Compare a live facial capture against an identity document to confirm the person is legitimate.

Detect deepfakes and prevent fraud

Detect impersonation attempts and prevent fraudsters and bad actors from gaining access to your business.

Speed up onboarding with less manual work

Enable secure identity verification without in-person checks, supporting reliable high-volume onboarding.

Onboard faster and reduce drop-off

Give customers a simple  verification experience with zero friction and multiple deployment options.

Verify identities up to 300x faster

Based on estimated savings and industry averages

Stop fraud before it reaches your business with identity verification built for accuracy, scale, and speed. ID-Pal helps you verify customers globally, reduce manual reviews, and make confident decisions backed by trusted data.

99%
Verification accuracy
400+
Data sources
16000+
Identity documents
250+
Jurisdictions covered

What are facial matching biometric checks?

Facial matching biometrics are a form of identity verification that compares a person’s facial features captured during verification against a trusted reference, such as a government-issued ID document or an existing biometric record.

Our process uses AI trained technology to identify mathematical correlations and patterns across thousands of implicit micro-features. Rather than relying on fixed nodal point analysis, ID-Pal’s deep learning and facial embeddings match unique facial characteristics, providing a probabilistic confidence score that the individual presenting is the legitimate owner of the identity. 

Match the face to the ID

Check that the person presenting an identity document matches the photograph it contains.

  • Compare a selfie with the document photo
  • Analyse unique facial features
  • Automate facial comparison
  • Flag mismatches for further review

Passive liveness detection

Check that a real person is present during verification, without asking customers to perform complex movements.

  • Liveness checks during selfie capture
  • Detection of deepfakes and fraud
  • No additional gestures required
  • Simple customer verification experience

Protection against impersonation

Help prevent fraudsters from using someone else’s identity by combining facial matching with liveness checks.

  • Detect attempts to use stolen identity documents
  • Flag discrepancies between the face and ID
  • Reduce reliance on visual checks
  • Strengthen remote identity verification

How biometric facial matching technology works

Real-time identity verification using facial matching technology and iBeta certified liveness testing.

Traditional verification and facial matching

Traditional identity verification uses the “1+1” or “2+2” method where an identity is validated using one to two identity documents, against one to two databases.

How ID-Pal verifies users faster and more effectively

Our AI-powered ID verification software verifies the individual submitting the documents with 99% accuracy using biometric checks like facial matching.

State-of-the-art thousand-dimension biometrics

Using deep neural networks and feature detection models for facial analysis, our technology maps in real-time the biometric features across facial images presented to confirm if they are of the same person.

Fully certified and industry accredited

Why businesses choose ID-Pal for biometric facial matching software

ID-Pal is designed with a privacy-first architecture intended to minimise unnecessary exposure to customer data during the verification process.

Passive liveness detection

Verify that a real person is present without requiring users to move, blink or turn their head.

High-accuracy facial matching

Compare a live image with the portrait on an identity document to confirm that the user is genuine.

Multi-layered fraud detection

Combine biometric facial matching with database checks, document and address verification.

Reduced onboarding friction

Give genuine customers a fast, mobile-friendly verification journey that limits unnecessary steps.

Automated verification at scale

Process high volumes of biometric checks, with exceptions referred for review where required.

Configurable risk-based workflows

Set verification rules and outcomes around your risk appetite and regulatory requirements.

Enterprise-grade data security

Protect biometric and identity data through encrypted transmission and secure cloud infrastructure.

Flexible integration options

Deploy via API, SDK or ready-to-use verification journeys and connect it with existing your systems.

What our clients say

Digital multi-layered identity verification

Where facial matching checks fit in the identity verification toolkit

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 that takes seconds, not minutes or hours.

Identity verification software

Transform your business with ID-Pal’s complete identity verification and risk intelligence platform that combines document, biometric, database and address checks in a single, configurable workflow.

Liveness checks confirm a real, live person is completing your identity verification process. ID-Pal liveness testing instantly assesses micro-variations in fraudulent techniques. Our liveness testing technology is independently certified to prevent the latest presentation attacks.

Screen individuals in real-time against global PEPs and sanctions lists. Perform adverse media checks across live sources and easily enroll individuals for periodic risk screening and ongoing monitoring.

Document checks

With coverage across 16,000+ identity documents, ID-Pal performs up to 70 technical checks per document, to ensure authenticity and confidently reject suspicious submissions. 

Reduce onboarding times with address verification. ID-Pal verifies an individual’s name and address against multiple databases during onboarding, ensuring one clear address match and removing the need for a separate proof of address document.

Our Know Your Business (KYB) verification software is the smarter way to verify businesses, identify beneficial owners and make confident onboarding decisions.

Facial matching biometrics

Our cutting-edge facial matching technology instantly confirms that the face in a submitted ID matches the person present. ID-Pal’s algorithms encode faces into high-dimensional vectors that can total thousands of dimensions, capturing skin texture, spatial geometrics and micro-features as part of our verification processes.

Simplify complex Anti-Money Laundering (AML) and due diligence processes into a single, efficient workflow that allows you to meet AML requirements in any jurisdiction.

ID-Detect eliminates common document fraud attacks by verifying that a genuine, physical ID is present. Protect your business from AI-driven fraud, compliance fines and onboarding friction.

Secure by design

Trust backed by security, performance and results

Enterprise-grade security

Protect your customer data with privacy-first architecture and globally recognised certifications. ID-Pal helps your organisation reduce risk, meet regulatory obligations, and build customer confidence from every verification.

G2 trust logo
Rated 4.7 / 5
4.8
App Store rating
4.7
Google Play rating

Finset saved

£3m

in fraud losses

Estimated impact since partnering with ID-Pal for KYC and onboarding

finset logo

See how our platform works

Discover how ID-Pal helps you verify customers, detect fraud and manage compliance. Get in touch for a no-obligation personalised walkthrough focused on your business needs.

99% verification accuracy

Real-time results

Zero access to customer data

Frequently asked questions

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.

Using deep neural networks and feature detection models for facial analysis, ID-Pal uses this technology to confirm that the face in a submitted ID matches the person present as part of our identity verification process.

Facial matching technology converts converts facial images into representations, often called biometric templates, based on key facial landmarks and patterns.

These templates are compared to calculate a similarity score. Decision thresholds are applied to determine whether the match is accepted, rejected, or flagged for review.

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 financial services, 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

No. Facial matching compares two facial images to assess similarity. Liveness testing determines whether the facial image was captured from a real, live person at the time of verification. In identity verification workflows, they serve different purposes but are both essential elements within a secure and reliable KYC flow.

Bias in facial matching can occur if the training data used by facial matching tools lacks demographic diversity, or if thresholds are poorly configured. Reputable providers test performance across age, gender, and ethnicity groups and publish results from independent evaluations to demonstrate fairness and consistency.

ID-Pal is proud to have set a new standard for bias-free biometrics, with up to 5x less bias than the next best global solution. This means our customers can be confident that identity verification works equally well for everyone – regardless of ethnicity, gender, and age groups. 

Find out how we can help your business grow