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IDLive® Doc for
Portrait Substitution Attacks

Gain protection from fraud and misinformation with detection of voice clones and audio deepfakes

IDLive® Doc for
Portrait Substitution Attacks

Gain protection from fraud and misinformation with detection of voice clones and audio deepfakes

A Proven Way to Stop Fraudsters Who Target the Portrait Zone of Identity Documents

A fraudster thinks he has the perfect document spoofing scheme. He’s gotten his hands on an authentic government-issued ID that he alters by overlaying a new photo over the existing one. He thinks he’s in business. But he doesn’t know what IDLive Doc for Portrait Substitution can do.

Organizations that rely on document identity verification are vulnerable to portrait substitution attacks like this one. It’s simply too easy for fraudsters to manipulate identifying photos on lost or stolen authentic IDs. By substituting a victim’s identity with their likeness, fraudsters can trick humans and document verification systems. 

We developed IDLive Doc for Portrait Substitution Attacks to tackle this specific type of document fraud, addressing a pressing market need with our templateless, AI-powered liveness detection capabilities.

Benefit from a laser focus on the portrait

Verify identity documents in real time as people present them

Rely on AI-driven document liveness detection

How It Works

We designed IDLive Doc for Portrait Substitution Attacks by thinking like fraudsters do. It addresses the portrait substitution techniques they most commonly use. This includes modifying a photo by physically attaching another photo. Knowledge of the specific document format is not necessary to detect these types of forgeries.

This is where our templateless document liveness detection technology comes in. Detection doesn’t come from verifying documents based on security features that are unique to each document type.

Instead, we advanced neural networks to identify common markers of portrait substitution fraud. IDLive Doc for Portrait Substitution Attacks has edge detection capability that can identify visible edges of a physically overlaid portrait. The solution can also identify texture inconsistencies characteristic of an independent portrait material.

What Fraudsters do

What Sets It Apart

Other document liveness vendors offer solutions based on predefined templates to detect portrait substitutions. Instead of comparing identifying photos against security features that are supposed to be there, we get to the heart of the image manipulation itself for a faster, future-proof approach.

Document verification is only as strong as its weakest component; fraudsters can and will exploit any vulnerability they find. And not just once, but over and over again. With IDLive Doc for Portrait Substitution Attacks, we protect documents where they’re weakest to stop fraud operations before they begin.

Fraudsters are always trying to perfect their portrait substitution techniques and outsmart document liveness detection systems. We stay steps ahead, continually improving our technology to beat bad actors at their own game.

Advanced. Targeted. Effective. Key Technical Specs

  • Image orientation: portrait or landscape
  • Minimum image size: 1920×1080 px, also known as FHD or 1080p
  • Class of supported documents: passports, national IDs, driver’s licenses, and other documents used for identification
  • Allowed compression: JPEG 70-100
  • Supported operating systems:  Linux and Windows
  • Deployment modes: Docker or SDK
  • After installation, it takes just one API call with a payload of the same image already captured to verify documents. 

Advanced. Targeted. Effective. Key Technical Specs

  • Image orientation: portrait or landscape
  • Minimum image size: 1920×1080 px, also known as FHD or 1080p
  • Class of supported documents: passports, national IDs, driver’s licenses, and other documents used for identification
  • Allowed compression: JPEG 70-100
  • Supported operating systems:  Linux and Windows
  • Deployment modes: Docker or SDK
  • After installation, it takes just one API call with a payload of the same image already captured to verify documents. 

IDLive Doc for Portrait Substitution Attacks is trained to identify portrait images that are physically attached to the identity document. Authentic documents with physically attached portrait images will trigger a false positive for fraud.

Total Document Liveness Detection

Get the Complete IDLive Doc Suite

IDLive Doc for Portrait Substitution Attacks is part of our proven and powerful IDLive Doc document liveness detection suite. Each product detects evidence of document fraud in different and complementary ways. You bundle the options to fit your organization’s needs. Choose the whole suite for total document liveness detection.

IDLive® Doc for Screen Replay Attacks

Targets fraudsters presenting documents that are displayed on a digital screen such as a high-resolution monitor, tablet, or mobile phone.

Learn More
IDLive® Doc for Printed Copy Attacks

Targets fraudsters presenting documents that are copied, printed on paper, and then cut to size. *Does not work with documents originally printed on paper.

Learn More
IDLive® Doc for Portrait Substitution Attacks

Targets fraudsters presenting documents with an altered facial portrait image, such as an overlay.

Learn More

Total Liveness Detection

At ID R&D, we are future proofing human verification in the era of AI. We are the only company to offer liveness detection capabilities for fraud across face, document, and voice. And as new vectors arise, we will be there. Always vigilant. Always innovating. Always steps ahead of fraudsters.

FACIAL LIVENESS
DOCUMENT LIVENESS
VOICE BIOMETRICS