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Early on, facial recognition vendors teamed up with established private investigative and consulting firms that already had a solid gaming industry client base This synergy helped to crack the casino market For example, Viisage/ Biometrica, a provider of facial recognition systems, worked with CVI LLC, a company that publishes the Casino Information Database, used by many casinos Visionics, another provider, works with the Griffin GOLD casino security database system, which is an established source of intelligence within the gaming community These strategic alliances helped make facial recognition acceptable among casino security officials, and gave the casinos the confidence to try facial recognition The investigative firms already had the databases from which the facial recognition systems could be populated after all, you have to be able to match a face to faces of bad guys Bad guys for casinos include any number of (male and female) undesirables, such as blatant cheaters, card counters, pick pockets, and many others In exchange, the facial recognition system provided the investigative firms with a means to further automate their databases

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Load(@"input. pdf ")) { var image = document.Render(0, 300, 300, ... public void ConvertPDFtoHojas (string filename, String dirOut) { PDFLibNet.

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For the casino industry s security strategy, facial recognition is part of its defensein-depth Casinos do not see the technology as a solution to their problems but rather as an additional weapon in their surveillance arsenal This approach means that the casinos are more tolerant of facial recognition s shortcomings If the facial recognition systems can reduce, narrow, or otherwise screen the number of people that their expert human hawks have to scrutinize, it is all for the better In this sense, facial recognition systems nicely complement the work of casino security officers but do not replace them, in a business where any help is welcome In an Associated Press interview in 1999, Derk Boss, the director of surveillance for the Stratosphere Hotel Casino and Tower in Las Vegas explained how facial recognition is an improvement, The old mug shot books, you had to look through there and hope you could find it It makes it a lot easier and brings it up to high technology where we all want to be The Associated Press concluded, In the past, casinos counted on pit bosses with good memories to spot the undesirables The high-tech methods are bound to give them an edge (For more information, see Angie Wagner s High-Tech Raises the Odds Against Casino Cheats, at http://wwwcanoecom/CNEWSFeatures9912/21_casinohtml) Interestingly, a leading biometric authority shares some of this pit boss attitude toward the technology as well Speaking at a conference in August 2002 (as reported in Security Focus), Dr James Wayman of San Jose State University explained that at best, facial recognition systems limit the range of possible matches to a third of all possible positive match candidates In other words, the

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Figure 5-14 Mapping a KPI to a measure in the data source, with optional filtering set to members in the Customer and Product dimensions

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technology performs a screening function The systems have a failure to acquire rate, which means a certain percentage of the time the system does not recognize a face against a background The failure to acquire rate is affected by such factors as environmental conditions (lighting, shading), the subject s cooperation or lack thereof, and quality control issues In an August 7, 2002, article by Ann Harrison, entitled Researcher: Biometrics Unproven, Hard To Test, Wayman noted, The idea that this operates automatically is entirely incorrect They are nothing more than investigative tools, they are not automatic systems (For more information, go to http://onlinesecurityfocuscom/news/566) JC Herz, in an article for Wired, entitled Seen City: From surveillance cams to facial scans, in Las Vegas the whole world is watching, has summarized how casinos use this technology: If a person s template closely matches one in the database, a record pops up, with the image of a card-counter or criminal along with a list of his aliases and associates The software never makes a positive identification it just alerts the staff Then it s up to human operators to decide how good the match is and whether to escort the person off-site and send out a bulletin over an intra-casino network In one sense, the technology just automates what casinos have been doing for years, with pan-and-scan cameras, mug books, and sharp memories But speed and networking do make a difference, especially since the databases are shared (For more information, go to http://wwwwiredcom/wired/archive/912/vegashtml)

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