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LA-AFIRM was part of an effort to control spiraling welfare costs through fingerprint matching of enrollees to keep people from enrolling under multiple names Part of the incentive was a TV expose on so-called welfare queens, one of whom had a mansion and drove a Rolls Royce to pick up her more than 30 welfare checks each month The system was widely hailed as a success; it reduced the number of enrollees by more than 20 percent No data is available to determine whether the fraud rate had been that high or how many people were frightened off by the prospect of having their fingerprints taken The system had a small Printrak AFIS back end and single finger, flat impression readers at each welfare office Participants had to verify their identity with a fingerprint each month when they received their check Based on the success of this system and a general concern about cost controls and the potential for fraudsters moving to adjacent counties, California has subsequently instituted such a system statewide Other states and counties have also adopted this technology; 16 discusses some of these cases Go to http://wwwdssstate ctus/digitalhtm for up-to-date information on use of AFIS systems in welfare management This trend led to a business in civil AFIS systems (that is, systems without an expensive latent capability) and single-finger readers Simultaneously, a market was emerging for single-finger systems for access control and other information technology and physical security applications Interestingly, the ability to use one or two flat impressions in a near real-time AFIS application led full circle back to the law enforcement community In the mid 1990s, the INS deployed the IDENT system using ANSI/NIST Standards for Type 4 records compressed at 15:1 but for flat impressions Scanners were placed at border patrol enforcement centers such as Chula Vista, California The application was a clever use of the LA-AFIRM model Here people would claim not to be prior offenders, and the system was used to determine whether they had been detained previously or were wanted for some crime such as re-entering the US after having been deported Two index finger impressions and a mug shot were collected primarily from persons detained while entering the US at other than an official border crossing They were sent back to INS headquarters electronically and within two minutes a response would be available at the border The response would either be negative a new illegal border crosser or positive In the positive case, the response would include data on previous encounters, a prior mug shot, and prior fingerprint images Given the use of only two fingers, the hostile working environment (that is, dirty fingers and the uncooperative people), and the intense workload (up to 1,800 people per day at just one site), the IDENT system was far from as accurate as a tenprint system, but it was a significant milestone in the use of fingerprints in law enforcement It also marked the first demonstration of the robustness of the ANSI/NIST Standard as the INS used a Cogent AFIS and, for a short while, also had a Printrak AFIS searching the same data stream
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The Defense Manpower Data Center (DMDC) deployed yet another civil application It used a single finger from the fingerprints of military personnel to verify issuance of certain benefits and identification documents The Defense Enrollment Eligibility Reporting System (DEERS) and the Real-Time Automated Personnel Identification System (RAPIDS) applications rely on a system developed by Identicator Identicator later merged with Identix Today scores of companies are in the single-finger capture device business and almost all of them bundle a matching algorithm with their products They are typically designed for a few hundred people using an information technology system or application The majority work on minutiae-based technology, but a few employ image correlation techniques Correlation techniques employ either spatial correlation of ridge flow or frequency domain correlation using twodimensional Fast Fourier Transforms Single-finger flat scanners use a myriad of capture technologies:
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Optical Typically using a light emitting diode or a flat luminescent panel for the light source and a Charged Coupled Device (CCD) array for the image capture device Thermal A solid-state device that measures thermal differences between ridge contact and the air in a valley between ridges Capacitive A solid-state device that measures the microvolt differences in potential energy between ridges and valleys Ultrasonic A transducer system that pulses the finger with ultrasonic waves at three wavelengths to locate and measure ridge detail While the most expensive of the current readers, these devices can see through dirt, ink, and other noise that can impact lower cost devices
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