While I asked Google Lyria to create three 30-second song snippets to illustrate the phrase “my fingerprint ridges are dry to the bone,” the first one (the old bluesy one) evokes the concept best.
Tag Archives: fingerprint
Today’s Acronyms Are NIST, FRIF, TE, E1N, and ROC
ROC (previously known as Rank One Computing) posted this about its latest resukts in the NIST Friction Ridge Image and Features Technology Evaluation Exemplar One-to-Many (FRIF TE E1N) evaluation.
“ROC’s performance in the NIST FRIF TE E1N evaluation, including #1 global ranking in Class B slap fingerprints, a critical capture format for high-scale civil and government identity programs, proves that American technology can now lead at the highest levels of global biometric performance….
“The NIST Friction Ridge Image and Features Technology Evaluation Exemplar One-to-Many evaluation, known as NIST FRIF TE E1N, evaluates one-to-many fingerprint identification at massive scale, testing how accurately algorithms can identify a subject from large enrollment repositories. Across the evaluation, ROC delivered top-tier performance in every category tested, including Class A, Class B, and Class C. “
As with every NIST biometric test, FRIF yields a massive amount of data. Just looking at the Class B slap data alone, here is what you can find, showing the top 7 entries out of 12 for the Class B Left Slap FNIR (another acronym: false negativce identification rate) at rank less than or equal to 10. Even this view excludes all other slap data and all other ranking data (1, 2, and 5).
(Data captured Friday, May 29, 2026 and may become outdated when new algorithms are tested.)
With this massive wealth of data, just about every vendor probably performed well in something, which is why ROC took the time to point out why Class B slap results are important.
“ROC’s most significant milestone came in Class B slap fingerprints. This performance is especially important for high-scale ABIS environments, including national ID programs, border management, civil enrollment, and high-stakes criminal justice workflows, where handling immense scale without sacrificing accuracy is mandatory.”
Although ROC may be the only entity trumpeting May results, other vendors have promotede earlier NIST FRIF TE E1N achievements, including IDEMIA, Identy.IO, Innovatrics, and Neurotechnology.
But they’re foreign. (As is Thales Group, for those keeping score.)
Dry To The Bone
You’re not gonna hear this song about dry fingerprint ridges on Top 40 radio. But for a select few biometric product marketers, it highlights a critically important issue.
Why?
Because dry fingerprint ridges, while not a common worry among the general populace, ARE a concern among law enforcement, homeland security, financial institution, and other professionals who depend on high-quality friction ridge capture to solve crimes and identify people.
And these people desperately need products that accurately capture fingerprints in challenging conditions.
And the product vendors need to communicate their product benefits to potential vendors. (Whoops, I mean prospects.)
That’s where Bredemarket comes to save the day.
Not with music.
(Thankfully.)
Through Bredemarket, I work with you to develop the customer-focused, benefits-oriented words that move your prospects toward your fingerprint capture solution.
If you want prospects to buy your identity product, schedule a free meeting with the biometric product marketing expert.
And…I couldn’t resist one more.
How Do You Talk About the Product “Plumbing”?
There are a variety of hungry people (target audiences) who look at your product marketing content. And they all have different needs.
- When talking about an elegant water fountain, some readers only care that the fountain works.
- Other readers want to know HOW it works. Issues such as support and maintenance are critically important to these folks, but matter little to the first group who simply wants a working fountain.
If you are forced to speak to both target audiences in a single piece of content, how do you do it?
Very carefully.
My preference is to discuss the high-level benefits at the beginning of the content, and save the more technical uptime details and/or feature lists for later in the narrative.
Unless you are ONLY speaking to technical folks, leading with the “plumbing” kills your content. Someone who wants their police agency to solve more burglaries will fall asleep at a mention of 1000 pixels per inch fingerprint resolution or NIST-compliant lower palm print image dimensions.
Stay light, and only go deep to buttress your lightness.
Fingerprints
Before any of the other stuff.
My Favorite Line I Wrote Today
From my post this morning on Advent International, Amadeus, and IDEMIA Public Security.
“Plan C became to split IDEMIA into three chunks—biometric product marketing experts call this a “trifurcation”—and sell the three chunks individually.”
Now I have never officially written about trifurcations, but if you saw my post on bifurcations you can probably figure out trifurcations also.
Master Keys for Fingerprints and Voices
I swear I’ve written about “MasterPrints” before, but I can’t find any such article. Maybe I just discussed it internally at IDEMIA when I worked there in 2018.
“Generative adversarial network produces a “universal fingerprint” that will unlock many smartphones“
“Researchers at NYU and U Michigan have published a paper explaining how they used a pair of machine-learning systems to develop a “universal fingerprint” that can fool the lowest-security fingerprint sensors 76% of the time (it is less effective against higher-security sensors).
“The researchers used “generative adversarial networks” (GAN) to develop their attack: this technique uses a pair of machine learning systems, a “generator” which tries to fool a “discriminator,” to produce a kind of dialectical back-and-forth in that creates fakes that are harder and harder to detect.”
While this happened over seven years ago and is probably harder to implement with today’s technology, I was reminded of this when I ran across this Biometric Update article.
“Voice morphing attack blends identities to bypass voice biometrics: study“
“A new research paper explores a signal-level approach to voice morphing attacks that exposes vulnerabilities in biometric voice recognition systems.
“The abstract describes Time-domain Voice Identity Morphing (TD-VIM) as “a novel approach for voice-based biometric morphing” which “enables the blending of voice characteristics from two distinct identities at the signal level.” TD-VIM allows for seamless voice morphing directly in the time domain, allowing “identity blending without any embeddings from the backbone, or reference text.””
So it, um, sounds like we not only have MasterPrints, but also MasterVoices.
ACE-V and the Innovatrics ABIS (and other ABIS)
Let’s revisit analysis, comparison, evaluation, and verification.
You may recall my post about a collection of judicial decisions, one of which included the following:
“The term “scientific” to describe his opinion “arguably verged on suggesting that the ACE-V process is more scientific than warranted,” and there was one instance in which Dolan testified without using the term “opinion.” The court concludes that there was no error because, “viewed as a whole,” his testimony was largely expressed in terms of an “opinion” and his testimony did not claim that the ACE-V process was infallible or absolutely certain.”
For those who aren’t familiar with the acronym ACE-V, here is how the U.S. National Institute of Standards and Technology defines it:
“The friction ridge examination process is commonly referred to as ACE‐V: Analysis, Comparison, Evaluation, and Verification.
“Analysis: An initial information‐gathering phase in which the examiner studies the unknown print to assess the quality and quantity of discriminating detail present. The examiner considers information such as substrate, development method, various levels of ridge detail, and pressure distortions. A separate analysis then occurs with the exemplar.
“Comparison: The side‐by‐side observation of the friction ridge detail in the two impressions to determine the agreement or disagreement in the details
“Evaluation: The examiner assesses the agreement or disagreement of the information observed during Analysis and Comparison and forms a conclusion.
“Verification: In some agencies is a review of an examiner’s conclusions with knowledge of those conclusions; in other agencies, it is an independent re‐examination by a second examiner who does not know the outcome of the first examination.”
To make things easier for latent examiners, some automated biometric identification system (ABIS) software packages incorporate ACE-V either as a separate module or as an integrated part of their workflow. I know that IDEMIA and Thales include it, and it appears that CSIpix, Eviscan, Noblis, and ROC also include it.
But I’m going to talk about Innovatrics in this post.
“Innovatrics is expanding ACE-V capabilities in ABIS for Criminal Investigation with new features that help forensic teams manage examinations more clearly, support different review models, and keep unresolved latent evidence active as investigations move forward….
“ACE-V is widely used in forensic work, but the way it is applied can vary across agencies, regions, and countries, often shaped by local legislative requirements. Some agencies require clear separation between roles, while others rely on smaller teams with a more flexible way of dividing work. Innovatrics is shaping the workflow to support different use cases and agency ACE-V policies, from small teams to large departments, without forcing agencies to change the established workflows they already rely on.”
More here.
When Your “Hungry People”…Is You
I prefer the term “hungry people” to the term “target audience” because it conveys the idea of those who really really want your product.
And therefore it stands to reason that you want to write content for your hungry people.
For example, if you’re selling automated fingerprint identification systems to cops, your content should probably talk about protecting residents by identifying bad people and keeping them off the street.
But Isabel Sterne warns that you don’t want to go overboard in this.
Why not?
“When you spend your time scanning your environment, adapting to those around you, and adjusting your communication style accordingly, you can start to lose yourself, lose sight of your message, and become forgettable.”
Let’s face it. If everyone mirrors their target audience, and they have the same target audience, how can you tell them apart?
I hope that Scott Swann and Ajay Amlani forgive me, but I’m going to use them as examples.
- Years ago Ajay, Scott, and I were associated with IDEMIA and/or MorphoTrak, but we have each gone our separate ways.
- Ajay Amlani is now at Aware, a U.S.-based biometric company that sells to multiple audiences, including law enforcement.
- Scott Swann is now at ROC (formerly Rank One Computing), a U.S.-based biometric company that sells to multiple audiences, including law enforcement.
Aware and ROC could simply mirror the needs and desires of U.S. law enforcement and mirror them back. But if they did that, Aware and ROC would appear identical and interchangeable.
And they’re not.
Aware has been around for several decades and offers everything from components and tools to full-blown automated biometric identification systems. Amlani, a new arrival, has a background that extends back to the FIRST version of CLEAR, along with multiple roles within the federal government and the private sector (including the aforementioned IDEMIA, where we did early work on venue identity verification solutions).
ROC is a newer arrival with a laser focus on several biometric modalities. Swann joined ROC after a long career at the U.S. Federal Bureau of Investigation and other federal government entities, followed by time in the private sector with MorphoTrak (where we worked on Morpho Video Investigator together, a potential solution for Boston Marathon bombing events) and IDEMIA National Security Solutions.
What is Sterne’s advice for Amlani, Swann, and others who don’t want to simply reflect their prospects? Here is what Sterne does:
“I write about what I’m interested in, and while I do write for all of you (and hope you get some value from what I share), I mostly write for myself, to explore ideas. In other words, I forget about the room when I write….
“When you write for yourself without considering a person or group of people, you end up writing more personally and often more universally.
“The irony is that by writing for yourself, you usually create something that others can connect to more deeply….
“And the more you write from this place, the clearer you get on your voice, priorities, and overarching ideas, the better able you are to create something that resonates.”
Personally, my hope is that my infusion of myself in my writing helps me to stand out and to better communicate what Bredemarket can provide to identity/biometric firms.
Is it working? You be the judge.
Three Ways in Which My Identity/Biometric Experience Exhibits My “Bias”
Yeah, I’m still focused on that statement:
“I think too much knowledge is actually bad in tech: you’re biased.”
Why does this quote affect me so deeply? Because with my 30-plus years of identity/biometric experience, I obviously have too much knowledge of the industry, which is obviously bad. After all, all a biometric company needs is a salesperson, an engineer, an African data labeler, and someone to run the generative AI for everything else. The company doesn’t need someone who knows that Printrak isn’t spelled with a C.
In this post I will share three of the “biases” I have developed in my 30-plus years in identity and biometrics, and how to correct these biases by stripping away that 20th century experience and applying novel thinking.
And if that last paragraph made you throw up in your mouth…read to the end of the post.
But first, let’s briefly explore these three biases that I shamefully hold due to my status as a biometric product marketing expert:
- Independent algorithmic confirmation is valuable.
- Process is valuable.
- Artificial intelligence is merely a tool.
Bias 1: Independent Algorithmic Confirmation is Valuable
Biometric products need algorithms to encode and match the biometric samples, and ideally to detect presentation and injection attacks.
But how do prospects know that these algorithms work? How accurate are they? How fast are they? How secure are they?
My bias
My brain, embedded with over 30 years of bias, gravitates to the idea that vendors should submit their algorithms for independent testing and confirmation.
This could be an accuracy test such as the ones NIST and DHS administer, or confirmation of presentation attack detection capabilities (as BixeLab, iBeta, and other organizations perform), or confirmation of injection attack detection capabilities.
Novel thinking
But you’re smarter than that and refuse to support the testing-industrial complex. They have their explicit or implicit agendas and want to force the biometric vendors to do well on the tests. For example, the U.S. Federal Bureau of Investigation’s “Appendix F” fingerprint capture quality standard specifically EXCLUDES contactless solutions, forcing everyone down the same contact path.
But you and your novel thinking reject these unnecessary impediments. You’re not going to constrain yourself by the assertions of others. You are going to assert your own benefits. Develop and administer your own tests. Share with your prospects how wonderful you are without going through an intermediary. That will prove your superiority…right?
Bias 2: Process is Valuable
A biometric company has to perform a variety of tasks. Raise funding. Hire people. Develop, market, propose, sell, and implement products. Throw parties.
How will the company do all these things?
My bias
My brain, encumbered by my experience (including a decade at Motorola), persists in a belief that process is the answer. The process can be as simple as scribblings on a cocktail napkin, but you need some process if you want to cash out in a glorious exit—I mean, deliver superior products to your customers.
Perhaps you need a development processs that defines, among other things, how long a sprint should be. A capture and proposal process (Shipley or simpler) that defines, among other things, who has the authority to approve a $10 million proposal A go-to-market process that defines the deliverables for different tiers, and who is responsible, accountable, consulted, and informed. Or maybe just an onboarding process when starting a new project, dictating the questions you need to ask at the beginning.
Novel thinking
Sure all that process is fine…if you don’t want to do anything. Do you really want to force your people to wait two weeks for the latest product iteration? Impose a multinational bureauracy on your sales process? Go through an onerous checklist before marketing a product?
Just code it.
Just sell it.
Just write it.
Bias 3: Artificial Intelligence is Merely a Tool
The problem with experienced people is that they think that there is nothing new under the sun.
You talk about cloud computing, and they yawn, “Sounds like time sharing.” You talk about quantum computing, and they yawn, “Sounds like the Pentium.” You talk about blockchain, and they yawn, “Sounds like a notary public.”
My bias
As I sip my Pepperidge Farm, I can barely conceal my revulsion at those who think “we use AI” is a world-dominating marketing message. Artificial intelligence is not a way of life. It is a tool. A tool that in and of itself does not merit much of a mention.
How many automobile manufacturers proclaim “we use tires” as part of their marketing messaging? Tires are essential to an automobile’s performance, but since everyone has them, they’re not a differentiator and not worthy of mention.
In the same way, everyone has AI…so why talk about its mere presence? Talk about the benefits your implementation provides and how these benefits differentiate you from your competitors.
Novel thinking
Yep, the grandpas that declare “AI is only a tool” are missing the significance entirely. AI is not like a Pentium chip. It is a transformational technology that is already changing the way we create, sell, and market.
Therefore it is critically important to highlight your product’s AI use. AI isn’t a “so what” feature, but an indication of revolutionary transformative technology. You suppress mention of AI at your own peril.
How do I overcome my biases of experience?
OK, so I’ve identified the outmoded thinking that results from too much experience. But how do I overcome it?
I don’t.
Because if you haven’t already detected it, I believe that experience IS valuable, and that all three items above are essential and shouldn’t be jettisoned for the new, novel, and kewl.
- Are you a identity/biometric marketing leader who needs to tell your prospects that your algorithms are validated by reputable independent bodies?
- Or that you have a process (simple or not) that governs how your customers receive your products?
- Or that your AI actually does unique things that your competitors don’t, providing true benefits to your customers?
Bredemarket can help with strategy, analysis, content, and/or proposals for your identity/biometric firm. Talk to me (for free).
By the way, here’s MY process (and my services and pricing).
Bredemarket 