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BIOMETRICS


Seamless selfie liveness verification is a security measure used to protect against identity spoofing or fraudulent attempts to use fake photos or videos for authentication purposes. This process involves comparing a real-time selfie, taken by the user during the authentication process, with the portrait on their official ID document. The verification process typically includes two main components: a 3-point composite check and liveness checks.


3-Point Composite Check: 

  • Facial Features Alignment: The system checks specific facial features, such as the eyes, nose, and mouth, to ensure they align correctly with the corresponding features on the ID portrait. This helps verify the consistency of the facial structure between the selfie and the official photo.
  • Facial Symmetry: The system analyzes the symmetry of facial features to ensure that the proportions match between the selfie and the ID portrait. This helps detect potential irregularities that may indicate the use of a manipulated photo.
  • Facial Expression Matching: The system may check for specific facial expressions to verify that the person in the selfie matches the emotional state or expression captured in the ID photo. This adds an additional layer of verification.

Liveness Checks: 

  • Blink Detection: To ensure the selfie is not a static image, the system may prompt the user to blink during the authentication process. Blink detection helps confirm the liveness of the individual.
  • Random Movement Requests: The system may request the user to perform random movements, such as turning their head or nodding, to ensure that the selfie is not a pre-recorded video or a manipulated photo.
  • Environmental Checks: Liveness checks may also involve analyzing the background of the selfie to ensure that it corresponds to a live, real-time environment. This helps prevent the use of static images or videos.



    By combining these elements, seamless selfie liveness verification enhances the security of identity authentication processes, making it more difficult for fraudsters to use stolen or fake credentials. This technology is commonly used in various industries, including financial services, online authentication, and identity verification platforms. It adds an extra layer of assurance that the person attempting to authenticate is physically present and actively participating in the verification process.

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