The COVID-19 global pandemic has accelerated the need to verify and onboard users online across several industries, such as financial services, insurance, and healthcare. When it comes to user experience it is crucial to provide a frictionless transaction while maintaining a high standard for identity verification.  The question is, how do you verify real people in the digital world?
Amazon Rekognition provides pre-trained facial recognition and analysis capabilities for identity verification to your online applications, such as banking, benefits, ecommerce, and much more.
In this post, we present the “ID + Selfie” identity verification design pattern and sample code you can use to create your own identity verification REST endpoint. This is a common design pattern that you can incorporate into existing or new solutions that require face-based identity verification. The user presents a form of identification like a driver’s license or passport. The user than captures a real-time selfie

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