It turns out that the wombat’s close relative, the koala, DOES have fingerprints.
Why?
Convergent evolution, which happens when unrelated animals (in this case primates and koalas) evolve identically in response to similar evolutionary pressures.
“Koalas are famously picky eaters who seek out eucalyptus leaves of a specific age. And…koalas may also need to grasp in similar ways to humans….
“The friction and sensitivity fingerprints afford may help them simultaneously hang onto trees and do the delicate work of picking particular leaves and discarding others—but hopefully not near a crime scene.”
Because many of the subscribers and followers of my Substack page aren’t fingerprint experts (although a few are), my posts on Substack tend to be more introductory. So I wrote this for Substack, but also decided to share it on the Bredemarket blog at some point.
If you look sort of closely at your fingertip, you see one commonality between (most) fingers and Ruffles: both have ridges. For purposes of this exercise, take a close look at where the ridges go.
In some cases, the ridges just stop and go no further.
In other cases, a single ridge splits into two or more ridges. Or if you want to follow a different perspective, two or more ridges combine into a single ridge. But that perspective screws up the discussion later.
Ridges do other things which I will ignore for now.
The important things is that you can identify the specific point at which a ridge ending occurs. And you can identify the specific point of a bifurcation, where a ridge splits into two ridges. (If a ridge splits into three, that’s a trifurcation.)
Those ridge ending and bifurcation points? Those are the minutiae.
Human fingerprint examiners can identify these minutiae points.
So can the algorithms on an automated fingerprint identification system (AFIS) or an automated biometric identification system (ABIS).
And if two fingers have minutiae in the same locations, and don’t have minutiae in one finger that are not present on the other finger…then they’re the same finger. (I’m simplifying here, since the quality of the prints and the way the skin bends affect the ability to find minutiae.)
Which means that if the police find a fingerprint on a stolen car that doesn’t belong to the owner…
…and the minutiae on your finger match the minutiae on the print from the car…
…you’d better have a good lawyer.
Oh, and one more thing: you also have ridges, ridge endings, and bifurcations on your palms and toes. So don’t try to steal a car while barefoot.
If you ignore what Yves-Alexandre de Montjoye et al said about the validity of 12 fingerprint minutiae points in their 2013 study (cited in phys.org), their conclusions about cell phone locations deserve consideration.
“By analyzing 15 months of cell phone mobility data from 1.5 million people, researchers have found that only four spatio-temporal points (an individual’s approximate whereabouts at the approximate time when they’re using their cell phone) are all that’s needed to uniquely identify 95% of the individuals.”
Why?
“[T]he researchers’ data shows that just four spatio-temporal points are needed to uniquely identify the mobility trace of an individual. In other words, it’s not likely that someone else will be in the same locations as you are at four different times of day.”
And once you perform multi-factor authentication by combining geolocation with another factor, such as an address or a social media post, privacy disappears.
Imagen 4 tried to generate this picture, but even with my second prompt attempt (below) it didn’t understand what an FBI tenprint card was.
I couldn’t get Walter Cronkite in there either, so I settled for a generic newsman.
My prompt:
Please generate a realistic picture of a 1975 television show called The Amazing Computer. The picture shows an FBI fingerprint card with ten rolled inked prints and four slap prints sitting on a gargantuan flatbed scanner. A newsman is talking about the technology.
There is a lot of discussion about identity verification for people working in certain jobs: police officers, teachers, financial professionals, and the like.
With one exception.
One job that isn’t frequently discussed in the identity verification world is that of a sex worker. Primarily because sex workers usually don’t undergo identity verification for employment, but identity checks for criminal proceedings.
Applicants are fingerprinted and are also required to submit a recent photo.
Applicants must provide their birth name and all subsequent “names or aliases used.”
Three years of residence addresses and employment information.
The applicant criminal record “except minor traffic violations.”
“A waiver of release of medical information,” since the nature of the work involves the possibility of transmission of communicable diseases. And you thought being a nuclear power plant worker was dangerous!
Presumably the fingerprints are searched against law enforcement databases, just like the fingerprints of school teachers and the other newer professions.
Why?
“The chief of police shall investigate, through all available means, the accuracy of all information supplied by the prostitute on the registration form.”
Included in the investigation:
Controlled substance criminal convictions.
Felony convictions.
Embezzlement, theft, or shoplifting convictions.
Age verification; you have to be 21.
As you can see, the identity verification requirements for sex workers are adapted to meet the needs of that particular position.
But…it takes two to tango.
Brothel clients need to be at least 18 years old.
But I don’t know if Nevada requires client age verification, or if age estimation is acceptable.
I can’t tell you why, but I’m performing some intensive research on contactless fingerprint capture. This is a topic I addressed here in 2021 and again in 2022.
As part of my research, I ran across a more recent white paper issued by the Institute for Defense and Government Advancement.
I wanted to write a list of the biometric modalities for which I provide experience.
So I started my usual list from memory: fingerprint, face, iris, voice, and DNA.
Then I stopped myself.
My experience with skin goes way beyond fingerprints, since I’ve spent over two decades working with palm prints.
(Can you say “Cambridgeshire method”? I knew you could. It was a 1990s method to use the 10 standard rolled fingerprint boxes to input palm prints into an automated fingerprint identification system. Because Cambridgeshire had a bias to action and didn’t want to wait for the standards folks to figure out how to enter palm prints. But I digress.)
So instead of saying fingerprints, I thought about saying friction ridges.
But there are two problems with this.
First, many people don’t know what “friction ridges” are. They’re the ridges that form on a person’s fingers, palms, toes, and feet, all of which can conceivably identify individuals.
But there’s a second problem. The word “friction” has two meanings: the one mentioned above, and a meaning that describes how biometric data is captured.
No, there is not a friction method to capture faces. Squishing
If you have to do something to provide your biometric data, such as press your fingers against a platen, that’s friction.
If you don’t have to do anything other than wave your fingers, hold your fingers in the air, or show your face as you stand near or walk by a camera, that’s frictionless.
More and more people capture friction ridges with frictionless methods. I did this years ago using MorphoWAVE at MorphoTrak facilities, and I did it today at Whole Foods Market.
So I could list my biometric modalities as friction ridge (fingerprint and palm print via both friction and frictionless capture methods), face, iris, voice, and DNA.
But I won’t.
Anyway, if you need content, proposal, or analysis assistance with any of these modalities, Bredemarket can help you. Book a meeting at https://bredemarket.com/cpa/