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Identity Verification Solutions

Enhanced Face Anti-Spoofing Technology

Faceplugin pioneers passive facial liveness detection technology, uniquely capable of detecting spoofing attempts using the same selfie utilized for facial matching.

Our Face Liveness Detection SDK operates solely on single images, eliminating the need for users to engage in additional steps during the verification process, thus enhancing convenience and user-friendliness.

Instant Face Recognition

Faceplugin provides instant and unbiased face recognition technology which works well even in challenging conditions(wearing mask, poor lightning, a long distance from a camera, etc).

Robust Identity Document Verification

The FacePlugin identity document verification engine enables swift and precise processing of diverse types of identity documents. To process your identity document, our technology will execute the following steps

Automated ID Document Capture and Optical Character Recognition (OCR)

Our system automatically captures the highest quality image of an ID to guarantee the utmost accuracy of Optical Character Recognition (OCR). Utilizing the captured image, our technology extracts all relevant fields from the ID, including the photo and signature, and identifies key document details such as type, edition, and issuing country.

Extraction of MRZ Data and NFC Reading

In enhancing identity document verification, we extract data from the machine-readable (MRZ) zones of the ID, facilitating cross-checks including check digit validation. Additionally, our system supports reading data from NFC-readable RFID chips to verify the document’s authenticity.

Assessment of Document Authenticity

We verify dependencies between the MRZ data and extracted document fields to enhance document authenticity detection. Additionally, our algorithms can identify common signs of visual tampering, such as alterations to the color profile of the ID.

Document Liveness Detection

Document liveness detection is software designed to identify presentation attacks during digital onboarding using identity documents. These attacks are similar to facial presentation attacks, where printed images, masks, or selfies displayed on digital screens attempt to deceive biometric authentication systems.

Document presentation attacks occur when an identity document used in digital onboarding is partially or entirely a reproduction or forgery, whether physical or digital. Common examples include screen replays, printed copies, and portrait substitutions. A screen replay involves displaying a document on a digital screen to replicate it. A printed copy is a reproduction created from a digital image captured by a camera, copier, or scanner. A portrait substitution occurs when a fake facial photo is placed over the genuine photo on a document.

For document liveness detection to be effective, it must also be easy to integrate into existing systems and user-friendly. Consumers should not face difficulties due to complex instructions, failed image captures, or false positives.

Detect over 98% of document presentation attacks

screen replay

Presentation of documents displayed on a digital screen

printed copy

Presentation of documents copied, printed on paper, and cut to size

portrait substitution

Presentation of documents with an altered facial portrait image, such as an overlay

Document Liveness for Identity Proofing

Reduce attack vectors in the digital onboarding process by using a layered approach to document verification, which includes document authentication, document liveness, facial recognition, and face liveness detection.

The document liveness check runs in the background within milliseconds, adding no friction for the customer and giving no alert to fraudsters.

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