Biometric facial recognition isn’t as unique as a fingerprint, but it will reduce the number of possible matches in the data pool to something manageable
All of us accumulate a lot of keys over time. We have locker keys, door keys, desk drawer keys, car keys, padlock keys, and keys that just appeared one day with no apparent use or function. If you have keys, you’ve probably lost keys, too. What if you had a key that was impossible to lose? That’s biometrics.
We’ve been using biometrics for over a hundred years to identify people. Fingerprints are the measurement that first comes to mind, but people are included or excluded from a sample of interest by more evident characteristics such as gender, hair and eye color, height and weight, and age. Some of these things can be changed at will, and other change over time all by themselves, but many key measurements remain constant.
A face changes with age, weight gain and loss, and when disguises or facial hair is added or removed. What doesn’t change are the distances between facial landmarks such as pupils, corners of the mouth, tip of the nose, and the polygons formed by drawing lines between these landmarks. Biometric facial recognition isn’t as unique as a fingerprint, but it will reduce the number of possible matches in the data pool to something manageable...