Introducing IDLive® Doc

The World’s First Standalone Document Liveness Detection Solution

What is Document Liveness Detection?

Bad actors present digital images of identification documents instead of “live” IDs in their possession to spoof identity verification processes and commit fraud. Document liveness detection uses AI and computer vision to distinguish between a present document and a digital image shown on a mobile device or computer display to prevent this type of presentation attack.

IDLive Doc from ID R&D detects digitally-displayed document spoofs.  The product builds on ID R&D’s deep expertise in single-image passive facial liveness, which detects the use of photos, screen replays, and masks during facial matching. Production deployments of IDLive Doc have revealed that document spoofing with digitally-displayed images is on the rise and more common than realized.

ID R&D’s IDLive Doc saved RealAML years of in-house development, helped acquire new customers, and immediately demonstrated its ability to stop fraud attacks. IDLive Doc integrated seamlessly into our existing KYC process without disrupting other core components.

Jordan McCown
CEO & Co-founder
RealAML

Ensure that identity documents are present and in the possession of their rightful owner.

Banks and other institutions increasingly allow customers to set up accounts remotely using a mobile onboarding app in a process called digital onboarding. Also known as electronic Know Your Customer or eKYC, the process requires digital identity verification and typically includes the presentation of a identity document, such as a passport, national ID, or driver’s license, as well as capture of a “selfie”. It’s a great convenience to customers and generates more revenue for businesses, but creates an opportunity for fraud. Fraudsters can easily source digital images of identity documents from illicit sources, and then manipulate them digitally. This is why it’s so critical to determine…is the document physically present? Or, is a fraudster presenting an digital image of a document displayed on their mobile phone or computer monitor? 

Identity document fraud using a digitally-displayed image is called a document screen replay attack. Screen replay attacks are accelerating, yet many onboarding systems cannot reliably detect them. Often the spoofed document is not discovered until much later in the customer lifecycle when other red flags trigger an audit. IDLive Doc detects a screen replay at the time of the attack, creates more risks and costs for bad actors, and prevents fraud before it causes damage. Importantly, it does so without adding friction in the user experience for legitimate customers, and without tipping off fraudsters that the countermeasure is in place and how it might be defeated.  

IDLive Doc: add document liveness detection to your solution in less than a day

IDLive Doc is easily added to any existing remote onboarding system to stop screen replay attacks of identity documents. Once the IDLive Doc Docker image is installed, all that is needed is one API call with a payload of the same image already captured for identity document verification. IDLive Doc provides the probability of document liveness and you choose how to respond if a screen replay attack is detected. You can be up and running in hours.  IDLive Doc works universally across all types of identity documents from around the globe, including driver’s licenses, passports, and national IDs. 

Watch a short video demo

Where Does Document Liveness Fit in the Customer Journey?

Document Liveness for Identity Proofing

Minimize the number of attack vectors in the digital onboarding process with a layered approach that involves document authentication, document liveness, facial recognition, and ID R&D’s IDLive® Face passive facial liveness detection.

The document liveness check is performed in the background in milliseconds, with no incremental friction for the customer or warning for fraudsters. 

null
Is the uploaded ID document “live” or a screen capture of the document?
null
If live, is the document authentic?
null
Does the user’s selfie match the photo on the ID document?
null
Is the selfie of a real person or is it a screen capture?

Why IDLive Doc?

  • Analyze any kind of identity document to detect possible digital spoofs; ID Live Doc works across all identity document types and geographies
  • Avoid adding friction to the user experience, with the same passive, single-image approach employed by IDLive Face
  • Detect fraud transparently without revealing to bad actors that the countermeasure is in place or how it works
  • Proactively identify screen replays in real time without manual review by humans
  • Catch fraud that may otherwise go unnoticed because the ID used for the screen replay attack is real or only slightly manipulated
  • Reduce costs by helping to automate an otherwise manual process performed by analysts;  only live photos proceed to the next step in the identity proofing process
  • Improve accuracy over human visual review — especially when high resolution displays are used for the attack, which are undetectable by the human eye.
  • Based on the same proven neural processing approach used by IDLive Face

IDLive Doc Document Liveness Specifications

  • Image orientation: portrait or landscape
  • Minimum image size: 1080 pixel height
  • Class of supported documents: passports, national IDs, driver’s licenses, and other documents used for identification
  • Allowed compression: 70-100 JPEG
  • Supported operating systems:  Linux and Windows
  • Deployment modes: Docker or SDK
IDLive Doc is available today. The Docker or SDK can be implemented on both server and mobile platforms and easily integrated with other components in your onboarding technology stack.
Fill out the form below to learn more or request a free product evaluation.