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Page.Draw. Another way to convert PDF to TIFF using C# , is to use Page.Draw() to create a bitmap for each page, and then use standard .Net methods to write these to a tiff file. There are two issue with this though: .NET does not support creating a graphics instance for a monochrome bitmap.

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Speaker recognition provides a convenient interface for authentication and identification applications Most verification applications are text dependent, requiring the user first to enter a user ID by keyboard entry or swipe of a smart card, and then to repeat a predetermined word or short phrase The user s voice sample is filtered and compared against the previously enrolled voice properties associated with their user ID To prevent playback attacks, some applications randomly construct a pass phrase for the user to repeat from a small vocabulary of enrolled words and digits The additional challenge and response thwarts or deters most casual imposters and presents a few more obstacles for the skilled and determined ones However, overall voice verification is not regarded as one of the most accurate biometric technologies Performance for text-dependent matching as described is generally expected to have a crossover error rate of about 2 percent, making it (by itself) only a reasonable solution for low-assurance environments Also, speaker recognition performance is very susceptible to differences in the environment, and some conditioning and training is often necessary For example, using different handsets or microphones between enrollment and verification will degrade performance, often in unknown and unpredictable ways Additionally, speaker recognition performance is adversely affected if there are multiple speakers, if there is noise in the environment, or if the technology is used over degraded communication channels Text-dependent verification performance can be tuned to work quite well in relatively clean, quiet environments, but the technology by itself does not constitute strong authentication If voice verification is used in conjunction with a four-digit PIN, a 1 in 100 false acceptance rate (FAR) becomes roughly strengthened to 1 in 1,000,000 A more challenging (and less accurate) family of voice identification applications seeks to identify speakers though conversational, text-independent speech These applications are used to analyze voice communications and also can be used to help scan or search communication channels For example, banking and accounting businesses may desire a voice check as an additional security measure.

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a new security system that scans faces in the night life district One protester walked by a camera, gestured obscenely and shouted, Digitize this! Privacy advocates have also responded, warning of the dangers posed by the technology s use Phil E Agre, a member of the Electronic Privacy Information Center s advisory board, lists these dangers on his web page: Your Face Is Not a Bar Code: Arguments Against Automatic Face Recognition in Public Places (Agre 2002) The potential risks of facial recognition were highlighted by a leading lawmaker, Dick Armey, then Majority Leader of the US House of Representatives Armey joined forces with the ACLU, issuing a joint statement in July 2001 declaring: [W]e are today joining together to call on all state and local governments to stop using these dangerous technologies now before privacy in America is so diminished that it becomes nothing more than a fond memory Thus, biometric expert James Wayman had good reason to conclude: The public relations disaster for biometrics [in 2001] was the surreptitious use of automatic facial recognition at the most popular sporting event in the US With this background in place, this chapter describes the concerns raised by the use of biometric facial recognition and discusses how the technology could potentially threaten our right to privacy It also discusses the technology s countervailing benefits to national security and law enforcement, and concludes by offering policy recommendations to help maximize the technology s utility while minimizing its threat to our privacy

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Although the concept of recognizing someone from facial features is intuitive, facial recognition, as a biometric, makes human recognition a more automated, computerized process It is this aspect of the use of biometrics that raises the fear that we are losing our ability to control information about ourselves that we are losing our right to privacy Does the use of this technology violate legally protected privacy rights Legal rights to privacy may be found in three sources: federal and state constitutions (if the entity invading your rights is a government actor), the common law of torts (if the entity invading your rights is a private actor), and statutory law Although the word privacy does not appear in the US Constitution, the need to protect citizens against government intrusions into their private sphere is reflected in many of its provisions, discussed in greater detail in the preceding chapters For example, the First Amendment protects freedom of expression and association as well as the free exercise of religion; the Third Amendment prohibits the quartering of soldiers in one s home; the Fourth Amendment protects against unreasonable searches and seizures; the Fifth Amendment protects

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