alt Hacker NewsI'm not an expert but i imagine bio data being much less exact than a password. Hashes work on passwords because you can be sure that only the exact date would allow entry, but something like a face scan or fingerprint is never _exactly_ the same. One major tenant that makes hashes secure is that changing any singlw bit of input changes the entirety of the output. So hashes will by definition never allow the fuzzy authentication that's required with biodata. Maybe there's a different way to keep that secure? I'm not sure but you'd never be able to open your phone again if it requires a 100% match against your original data.
I'd assume they'd use something akin to a perceptual hash.
Btw, hashes aren't unique. I really do mean that an input doesn't have a unique output. If f(x)=y then there is some z such that f(z)=y.
Remember, a hash is a "one way function". It isn't invertible (that would defeat the purpose!). It is a surjective function. Meaning that reversing the function results in a non-unique output. In the hash style you're thinking of you try to make the output range so large that the likelihood of a collision is low (a salt making it even harder), but in a perceptual hash you want collisions, but only from certain subsets of the input.
In a typical hash your collision input should be in a random location (knowing x doesn't inform us about z). Knowledge of the input shouldn't give you knowledge of a valid collision. But in a perceptual hash you want collisions to be known. To exist in a localized region of the input (all z are near x. Perturbations of x).
https://en.wikipedia.org/wiki/Perceptual_hashing