Amazon Rekognition allows you to mitigate fraudulent attacks and minimize onboarding friction for legitimate customers through a streamlined identity verification process. This can result in an increase in customer trust and safety. Key capabilities of this solution include:

Register a new user using a selfie
Register a new user after face match against an ID card and ID card data extraction
Authenticate returning user

Amazon Rekognition offers pre-trained facial recognition capabilities that you can quickly add to your user onboarding and authentication workflows to verify opted-in users’ identities online. No machine learning (ML) expertise is required to use this service.
In a previous post, we described a typical identity verification workflow and showed you how to build an identity verification solution using various Amazon Rekognition APIs. In this post, we have added a facial identity-based authentication user interface to show a complete end-to-end identity verification

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