How AI Assists Remote Biometric Verification Processes

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Artificial intelligence draws from artificial intelligence and machine learning to add value to the biometric verification process. Moreover, the processing of large sets of information is streamlined by the use of artificial intelligence. The verification world is benefitting greatly from remote ID authentication. Identity has become an important piece of information and the verification of its legitimacy is even more crucial. Thus, organizations around the world acquire the services of remote ID verification providers to complete the process of customer ID authentication efficiently.

Following are the four most crucial ways in which AI adds to the biometric authentication process. 

How Information is Extracted from ID Documents

The digital verification of the ID documents requires the use of Optical Character Recognition (OCR) technology. OCR recognizes and extracts the textual information remotely. However, the pictorial data like the image on the official ID document is recognized by artificial intelligence technology. When the facial information is recognized from the identity document by the system than through the user’s device camera, the selfie verification step completes the biometric verification. 

Validating the Authenticity of Documents

In the ID verification process, the utility of artificial intelligence determines whether the identity documents are authentic or not. The artificial intelligence models are first trained to reap the benefits. But, as soon as an AI model is scaled on a particular document type, it processes and checks a similar type of identity documents swiftly and with increased accuracy. There are quite a few authentication checks performed by the verification system to verify a particular ID document. Furthermore, there are different sections on an identity document that make it unique, and in order to identify them, the AI-assisted verification system performs the following checks.

  • MRZ code verification
  • Screening for any manipulation and forgery attempts
  • Recognition of holograms or 3D facial masks
  • Document’s format identification
  • Guilloche identification
  • Optically Variable Ink (OVI) identification
  • Micro prints authentication

Biometric Authentication

Biometric technology has become an essential component of remote ID verification. As the user onboarding processes are moving to the online space in the COVID-19 pandemic, the identity information of end-users cannot be properly authenticated through the conventional document verification processes. Therefore, biometric technology coupled with AI-powered document authentication provides an accuracy rate of above 98%. Although biometrics’ umbrella covers a wide range of technologies like face, iris, voice verification. But the most used and most feasible one is the face verification technology. It is because almost everyone is in possession of a camera-enabled smartphone. In the face recognition process, the following checks are performed.

Picture Quality Analysis

The pictorial data and coordinates are processed and analyzed for any sort of manipulation attempts. In addition, the AI-based distortion analysis safeguards the verification process against facial spoof attacks.

3D Identification and Assessment

Artificial intelligence allows the assessment of the three-dimensional coordinates of the person’s face. Mustaches, facial lines, spots, or facial hair cannot get in the way of biometric security systems.

Skin Texture Recognition

The recognition and analysis of skin texture analysis are conducted with the help of artificial intelligence. It is able to differentiate between real-time images from the printed ones. In addition, the skin patterns like facial lines, marks spots, etc. are recognized and saved in machine-readable form.

Three-Dimensional Depth Detection

Here, the three-dimensional depth of pictorial information is assessed and matched with digitized samples using AI algorithms.

Detecting Damaged Documents

While assessing identity documents, AI can screen documents that are not acceptable i.e, worn and damaged. Moreover, it can read through a considerable amount of wear and tear. Furthermore, detecting vague sections on ID documents is not a problem for the verification system. 

Wrapping it up

It is an understatement that biometric authentication technologies have revolutionized the digital customer onboarding process. Also, biometric identification technologies have a lot to thank for the advancements in AI. Moreover, for the ID authentication services, it would have been an impossible task to screen customers without the state-of-the-art utility of artificial technology. Furthermore, with the passage of time, artificial intelligence will only experience an upward evolutionary trend and keep on assisting the verification industry.