Page 55 - Automated Fingerprint Identification Systems (AFIS)
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40  AUTOMATED FINGERPRINT IDENTIFICATION SYSTEMS



                              the ANSI/NIST standards with only slight modifications in 1996, a process that
                              continues with each succeeding revision of the ANSI/NIST standards. In 1997,
                              the ANSI/NIST transmission standard was revised and updated to include scars,
                              marks, and tattoos. At the same time, the National Automated Fingerprint Iden-
                              tification System (NAFIS) became operational in the United Kingdom.
                                 With standards in place and the benefits of AFIS systems well documented,
                              the remaining barrier was the cost of purchasing and maintaining an AFIS. The
                              National Criminal History Improvement Project was implemented at just the
                              right time. NCHIP provided more than $270 million between 1995 and 1999.
                              Through 2003, more than $430 million was infused into state and local coffers
                              to improve criminal history and identification. Large states received a massive
                              amount of federal support. For example, California received $32 million;
                              Florida, $16 million; New York, $27 million; and Texas, $23 million. The table
                              in Appendix C lists the grants awarded by the NCHIP to each state by year,
                              along with the total amount awarded to each state over the years 1995–2003.
                                 This infusion of capital into the identification marketplace created many
                              business opportunities. Meeting the demands of multimillion dollar contracts
                              required a significant investment in capital for research and development.
                              Companies such as Sagem Morpho, Printrak Motorola, NEC, Lockheed Martin,
                              and Cogent Systems emerged as large contractors for criminal and civil appli-
                              cations. Companies such as AWARE, AFIX Tracker, Comnetix, and FORAY
                              found niche market customers.
                                 With storage and computer costs diminishing and bandwidth increasing,
                              agencies began to consider capturing palms and mug shots as a normal part of
                              their booking process. Following the successful introduction of AFIS systems
                              into the criminal arena, other areas of government found an interest in the
                              technology. The move from an exclusively forensic AFIS system (i.e., an AFIS
                              system for criminal searches or connected to a CCH) began to move into other,
                              civil applications.
                                 With state social service agencies spending millions for public benefit, the
                              opportunities for abuse became a genuine concern. The Los Angeles Auto-
                              mated Finger Image Report and Match (AFIRM) system was the first finger
                              imaging system to be used for welfare applications. Following the success of
                              AFIRM, the state of California began using SFIS, the Statewide Finger Imaging
                              System, in 1992, which was then expanded to six other counties in the Los
                              Angeles and San Francisco area. Following contract procurement, challenges,
                              and another acquisition cycle, SFIS became operational for the entire state in
                              2001.
                                 The New York State Office of Temporary and Disability Assistance also began
                              to fingerprint individuals who received certain classes of temporary assistance.
                              In addition to reducing the amount of fraud from “double dippers,” who
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