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Structured light: Lines of light are projected on a finger to illuminate the print. The light is warped by the ridges and valleys of the fingertip, allowing researchers to generate a 3-D fingerprint.
University of Kentucky
Shahram Orandi, team leader for the National Institute of Standards and Technology's large-scale biometrics systems testing group, says 3-D fingerprinting is a hot area of development. Both the Department of Homeland Security and the National Institutes of Justice are interested in a non-contact system that can capture 3-D prints, ideally gathering data from multiple fingers at once. "There's money out there and people are jumping at it," Orandi says. Carnegie Mellon University and TBS Holdings are independently working on systems that use multiple cameras to capture the prints, for example. Both projects, as well as Kentucky's, have received government grants.
"Almost everybody that tried to achieve 3-D capture has succeeded," Orandi says. "The missing secret sauce is how to make these images compare to existing technology."
Orandi describes the problem by equating a fingerprint to a tangerine peel. Trying to flatten out a carefully removed, large piece of peel will break the skin. The same thing happens with 3-D fingerprints, he says. Flattening them into 2-D images, so that they can be compared against the traditional prints in AFIS, results in cracks.
Wang says his system is able to flatten the 3-D representations it creates into two-dimensional prints without distorting the image. NIST is developing tools to test 3-D fingerprinting systems and assess the differences between some of the schemes being developed.
While he declined to go into detail on how Kentucky's system fares against others, Orandi did say that it was among the top three he was familiar with.
The University of Kentucky researchers hope to improve their system, initially by speeding up the system so that the scanning and processing time is reduced to less than 0.1 seconds. The team also wants to be able to scan all 10 fingers at once, too. "Our goal is to have a box with multiple scanners in it ... where you can just hold a relaxed hand pose" and capture the prints on all 10 fingers, says Lau.
Scientists have developed a better way to identify fingerprints on bullets and fragments of explosives.
I searched to see if the previous comment was genuine. Large parts of it were lifted from another web site on atomic force microscopy. So I guess it isn't all gobbledygook.
As someone who administers a biometric security system with great difficulty and much inconvenience for end users I was hoping for more edifying commentary than an extremely dense, very obscure listing of formulae, processes and terminology associated with quantum mechanics. Said material may be true and even fundamental but is no more topical to the article than quantum mechanics is to a discussion of how to improve the mileage of my car.
Well I can't clarify this particular technology but it would be an advance. Last week went thru DOJ fingerprinting. The finger printer brought in laptop with machine attached. Has a green kind of roughish surface to spread out fingers I guess.
Had all sorts of problems: First you can't just wipe off the fingerprinting surface if it gets smudge, she has special sticky tape to clean it. Then it had all sorts of problems: It didn't like one of my fingers and took quite a few tries. Some students pressed down too hard and image too dark. Then of course your ring finger doesn't have totally independent muscles so hard to bend separately to print it (try that, using just that hand, try and bend your ring finger out, on most people other fingers come along for the ride).
Would be great to speed this up. Welfare depts now fingerprint people in some states. I hear it reduced double dipping fraud a great deal (where they apply under second name or dob or ssn#)
I installed eye scan biometrics at a club once and they finally gave up as it took too long for each person to enter. The fingerprinting of 14 students took all class, over 3 hours.
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Nanofingerprinting
Nanofingerprinting may have a progressive identification value as technology advances, if there is more data in a high-resolution topological data image which can specify the individual's identity with greater certainty. That all depends on the reduction of scale to membrane biostructures with informative values, modeled at picoyoctoscale resolution. This should reveal data for the person's hand-application patterns as well, displaying material evidence of clues to an individual's past activities. Recent research on nanotechnology has developed the picoyoctoscale atom model imaging system which may be applied to such investigative art.
The atom's RQT (relative quantum topological) data point imaging function is built by combination of the relativistic Einstein-Lorenz transform functions for time, mass, and energy with the workon quantized electromagnetic wave equations for frequency and wavelength. The atom labeled psi (Z) pulsates at the frequency {Nhu=e/h} by cycles of {e=m(c^2)} transformation of nuclear surface mass to forcons with joule values, followed by nuclear force absorption. This radiation process is limited only by spacetime boundaries of {Gravity-Time}, where gravity is the force binding space to psi, forming the GT integral atomic wavefunction. The expression is defined as the series expansion differential of nuclear output rates with quantum symmetry numbers assigned along the progression to give topology to the solutions.
Next, the correlation function for the manifold of internal heat capacity particle 3D functions condensed due to radial force dilution is extracted; by rearranging the total internal momentum function to the photon gain rule and integrating it for GT limits. This produces a series of 26 topological waveparticle functions of five classes; {+Positron, Workon, Thermon, -Electromagneton, Magnemedon}, each the 3D data image of a type of energy intermedon of the 5/2 kT J internal energy cloud, accounting for all of them.
Those values intersect the sizes of the fundamental physical constants: h, h-bar, delta, nuclear magneton, beta magneton, k (series). They quantize nuclear dynamics by acting as fulcrum particles. The result is the picoyoctometric, 3D, interactive video atomic model data imaging function, responsive to keyboard input of virtual photon gain events by relativistic, quantized shifts of electron, force, and energy field states and positions.
Now an ideal investigative infotool for nanoevidence of many types is found, in terms of chronons and spacons for strict quantized relativistic performance.
Images of the h-bar magnetic energy waveparticle of ~175 picoyoctometers are available online at http://www.symmecon.com with the complete RQT atomic modeling guide titled The Crystalon Door, copyright TXu1-266-788. TCD conforms to the unopposed motion of disclosure in U.S. District (NM) Court of 04/02/2001 titled The Solution to the Equation of Schrodinger.
(C) 2009, Dale B. Ritter, B.A.
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