As-if you can ever actually hash a biometric and expect it to match in the future. The whole idea of a hash is that a tiny perturbation makes the output completely different.
It almost by definition cannot work for biometrics.
> Touch ID doesn't store any images of your fingerprint, and instead relies only on a mathematical representation. It isn't possible for someone to reverse engineer your actual fingerprint image from this stored data.
Sure, I think there are a million attack vectors for getting these "orbs" to send the same person money multiple times. Crafting a face that doesn't generate a hash collision (which would be the goal here) is probably an even easier problem!
I'm just pointing out that perceptual hashes do exist.
> The whole idea of a hash is that a tiny perturbation makes the output completely different.
That would be a cryptographic hash you are describing. Not all hash functions share that property. As long as arbitrary input is mapped to a fixed size output it is a hash function. For example see NeuralHash [1] which is a hash function designed to be "insensitive to small changes in the input image."
