Selfie ID verification technology maps an individual's facial features, thus matching facial features to stored facial biometric data, authenticating the individual. Each face has thousands of unique points, which is why identity verification leveraging selfie photos is an increasingly popular authentication method.
An example of Selfie ID verification is Apple's Face ID technology, which can scan and verify iPhone users. First, the technology projects and analyzes over 30,000 invisible dots, creating a depth map and infrared image of each face. Next, it uses specialized hardware to transform the depth map and infrared image into a mathematical representation of facial characteristics, easy to store and process.
In this article:
Face verification is a commonly used security method applied to various scenarios. Banks and government agencies, for example, use facial recognition to let authorized personnel access a physical facility. However, traditional facial recognition security requires individuals to approach a physical location.
Selfie ID verification is the online version of face recognition security. It is considered a highly secure ID verification method used by government agencies and organizations to protect digital assets and environments.
Here is a quick overview of several types of online verification methods and how each compares to selfie ID verification:
As cybercrime grows and spreads, both in the number of attacks and in the sophistication of the techniques used by threat actors, verification becomes increasingly essential. In addition, organizations and individuals need to protect against identity and financial theft. Selfie ID verification can help achieve this goal.
Related content: Read our guide to identity verification services
Here are some common ways artificial intelligence (AI) can prevent identity fraud and biometric manipulation.
This type of detection technology enables biometric systems to determine whether the provided image of a face is authentic or not. In addition, face verification solutions powered by artificial intelligence (AI) can leverage liveness detection to verify an online user's facial movements and physical presence. As a result, this technology can significantly reduce the likelihood of a successful facial spoof attack and false acceptance rate.
Face verification solutions use AI algorithms to detect subtle micro-expressions in the faces of end-users. This technology enables companies to detect replay video attacks, deep fakes, and other spoof attempts.
This type of analysis enables face verification tools to effortlessly detect spoof attacks like fraudulent or photoshopped images and silicone face masks. The technology uses a detailed analysis of the 3-D geometry of a user's face to accomplish this.
Face verification solutions can analyze each individual's facial characteristics and then filter impostors accordingly. For example, they verify the shape of the person's lips, the distance between the eyes, and the width or length of the forehead.
These techniques can detect 3-D masks, eye-cut photo attacks, and other types of facial spoofs. AI mapping techniques accomplish this by using machine learning (ML) and AI models that map the faces of end-users and faces displayed on ID document photos and then provide highly accurate verification.
Related content: Read our guide to photo ID verification
There are advantages and drawbacks to selfie ID verification, as with any technology.
Some notable advantages include:
Here are three key aspects to consider when implementing verification by selfie:
BlueCheck's industry-leading identity verification infrastructure, supporting selfie ID verification, enables merchants to grow their business faster. As we serve a wide variety of industries, our solutions are custom-tailored to the unique needs of our customers, including PACT Act and eCommerce compliant offerings.
{{cta('007d8804-adf3-4d63-890c-9f783f8025e1','justifycenter')}}
Schedule a call today with a BlueCheck specialist to learn more about our Age & ID Verification solutions.