- Más nuevo
- Más votos
- Más comentarios
On its own it does not have the capability to verify if documents have been tampered with or manipulated . However Rekognition offers some features that can help mitigate the risk of fake photos on identity documents:
1/ Face Liveness: This feature helps detect spoofs like printed photos, digital images, or masks presented to the camera. It can improve the chances of catching a fake document being used in place of a real person.
2/ Face Comparison: You can compare the selfie image of the user with the face in the identity document. This helps ensure they match and reduces the possibility of a different person's ID being used. Or maybe , use the Face Collection feature to take facial images from documents and match them against a collection of known user profiles. Face search APIs can be used for this matching.
3/Implement human review workflows using Sagemaker Ground Truth or Augmented AI to validate any low confidence matches from the above steps. Humans can cross-check for any anomalies or tampering not detected technically.
For more robust onboarding process, it's wise to use Rekognition alongside other security measures.
Contenido relevante
- OFICIAL DE AWSActualizada hace 2 años
- OFICIAL DE AWSActualizada hace 2 años
- OFICIAL DE AWSActualizada hace un año
Amazon Rekognition does not have 100% capabilities to detect fake or manipulated photos. However you can utilize features like "Face Liveness" (https://aws.amazon.com/rekognition/face-liveness/) "Face Comparison" (https://aws.amazon.com/rekognition/identity-verification/) "Object Detection" and "Text Detection". These features are helpful detect fraud in general.