Face Comparison
Rekognition allows you to compare faces in two images. This is mainly for the purpose of identifying which faces are the same in both images. As an example use case, this can also be used for comparing images with people against their
personnel photo.
This section demonstrates industry standards so that you can utilize Amazon Rekognition to analyze faces inside an arrangement of pictures with different faces in them. When you indicate a Reference face (source) and a Comparison face (target) picture, Rekognition thinks about the biggest face in the source picture (that is, the reference) with up to 100 countenances recognized in the objective picture (that is, the examination images) and, after that, discovers how intently the face in the source picture matches with the appearances in the target picture. The closeness score for every examination is shown in the Results sheet.
Some restrictions on the usage of this feature are as follows:
- If the source image...
