Biometrics

Biometrics
At Walt Disney World, biometric measurements are taken from the fingers of guests to ensure that the person's ticket is used by the same person from day to day

Biometrics (or biometric authentication)[note 1] consists of methods for uniquely recognizing humans based upon one or more intrinsic physical or behavioral traits. In computer science, in particular, biometrics is used as a form of identity access management and access control. It is also used to identify individuals in groups that are under surveillance.

Biometric identifiers are the distinctive, measurable characteristics used to identify individuals[1]. The two categories of biometric identifiers include physiological and biological characteristics[2]. Physiological characteristics are related to the shape of the body, and include but are not limited to: fingerprint, face recognition, DNA, palm print, hand geometry, iris recognition (which has largely replaced retina), and odour/scent. Behavioral characteristics are related to the behavior of a person, including but not limited to: typing rhythm, gait, and voice[note 2]. Some researchers have coined the term behaviometrics to describe the latter class of biometrics[3].

More traditional means of access control include token-based identification systems, such as a driver's license or passport, and knowledge-based identification systems, such as a password or personal identification number [1]. Since biometric identifiers are unique to individuals, they are more reliable in verifying identity than token and knowledge-based methods, however, the collection of biometric identifiers raises privacy concerns about the ultimate use of this information[1][4].

Contents

Biometric functionality

Many different aspects of human physiology, chemistry or behavior can be used for biometric authentication. The selection of a particular biometric for use in a specific application involves a weighting of several factors. Jain et al. (1999)[5] identified seven such factors to be used when assessing the suitability of any trait for use in biometric authentication. Universality means that every person using a system should possess the trait. Uniqueness means the trait should be sufficiently different for individuals in the relevant population such that they can be distinguished from one another. Permanence relates to the manner in which a trait varies over time. More specifically, a trait with 'good' permanence will be reasonably invariant over time with respect to the specific matching algorithm. Measurability (collectability) relates to the ease of acquisition or measurement of the trait. In addition, acquired data should be in a form that permits subsequent processing and extraction of the relevant feature sets. Performance relates to the accuracy, speed, and robustness of technology used (see performance section for more details). Acceptability relates to how well individuals in the relevant population accept the technology such that they are willing to have their biometric trait captured and assessed. Circumvention relates to the ease with which a trait might be imitated using an artifact or substitute.

No single biometric will meet all the requirements of every possible application.[5]

The basic block diagram of a biometric system

A biometric system can operate in the following two modes.[2] In verification mode the system performs a one-to-one comparison of a captured biometric with a specific template stored in a biometric database in order to verify the individual is the person they claim to be. This process may use a smart card, username or ID number (e.g. PIN) to indicate which template should be used for comparison.[note 3] 'Positive recognition' is a common use of verification mode, "where the aim is to prevent multiple people from using same identity".[2]

In Identification mode the system performs a one-to-many comparison against a biometric database in attempt to establish the identity of an unknown individual. The system will succeed in identifying the individual if the comparison of the biometric sample to a template in the database falls within a previously set threshold. Identification mode can be used either for 'positive recognition' (so that the user does not have to provide any information about the template to be used) or for 'negative recognition' of the person "where the system establishes whether the person is who she (implicitly or explicitly) denies to be".[2] The latter function can only be achieved through biometrics since other methods of personal recognition such as passwords, PINs or keys are ineffective.

The first time an individual uses a biometric system is called enrollment. During the enrollment, biometric information from an individual is captured and stored. In subsequent uses, biometric information is detected and compared with the information stored at the time of enrollment. Note that it is crucial that storage and retrieval of such systems themselves be secure if the biometric system is to be robust. The first block (sensor) is the interface between the real world and the system; it has to acquire all the necessary data. Most of the times it is an image acquisition system, but it can change according to the characteristics desired. The second block performs all the necessary pre-processing: it has to remove artifacts from the sensor, to enhance the input (e.g. removing background noise), to use some kind of normalization, etc. In the third block necessary features are extracted. This step is an important step as the correct features need to be extracted in the optimal way. A vector of numbers or an image with particular properties is used to create a template. A template is a synthesis of the relevant characteristics extracted from the source. Elements of the biometric measurement that are not used in the comparison algorithm are discarded in the template to reduce the filesize and to protect the identity of the enrollee[citation needed].

If enrollment is being performed, the template is simply stored somewhere (on a card or within a database or both). If a matching phase is being performed, the obtained template is passed to a matcher that compares it with other existing templates, estimating the distance between them using any algorithm (e.g. Hamming distance). The matching program will analyze the template with the input. This will then be output for any specified use or purpose (e.g. entrance in a restricted area)[citation needed].

Performance

The following are used as performance metrics for biometric systems:[6]

  • false accept rate or false match rate (FAR or FMR): the probability that the system incorrectly matches the input pattern to a non-matching template in the database. It measures the percent of invalid inputs which are incorrectly accepted.
  • false reject rate or false non-match rate (FRR or FNMR): the probability that the system fails to detect a match between the input pattern and a matching template in the database. It measures the percent of valid inputs which are incorrectly rejected.
  • receiver operating characteristic or relative operating characteristic (ROC): The ROC plot is a visual characterization of the trade-off between the FAR and the FRR. In general, the matching algorithm performs a decision based on a threshold which determines how close to a template the input needs to be for it to be considered a match. If the threshold is reduced, there will be less false non-matches but more false accepts. Correspondingly, a higher threshold will reduce the FAR but increase the FRR. A common variation is the Detection error trade-off (DET), which is obtained using normal deviate scales on both axes. This more linear graph illuminates the differences for higher performances (rarer errors).
  • equal error rate or crossover error rate (EER or CER): the rate at which both accept and reject errors are equal. The value of the EER can be easily obtained from the ROC curve. The EER is a quick way to compare the accuracy of devices with different ROC curves. In general, the device with the lowest EER is most accurate.
  • failure to enroll rate (FTE or FER): the rate at which attempts to create a template from an input is unsuccessful. This is most commonly caused by low quality inputs.
  • failure to capture rate (FTC): Within automatic systems, the probability that the system fails to detect a biometric input when presented correctly.
  • template capacity: the maximum number of sets of data which can be stored in the system.

History of Biometrics

People may think that biometrics is a recent advancement, but biometrics has been around since 29,000 BC when cavemen would sign their drawings with handprints. In 500 BC Babylonian business transactions were signed in clay tablets with fingerprints. The earliest cataloging of fingerprints dates back to 1881 when Juan Vucetich started a collection of fingerprints of criminals in Argentina. The History of Fingerprints.

Current, emerging and future applications of biometrics

Proposal calls for biometric authentication to access certain public networks

John Michael (Mike) McConnell, a former vice admiral in the United States Navy, a former Director of US National Intelligence, and Senior Vice President of Booz Allen Hamilton promoted the development of a future capability to require biometric authentication to access certain public networks in his Keynote Speech[7] at the 2009 Biometric Consortium Conference.

A basic premise in the above proposal is that the person that has uniquely authenticated themselves using biometrics with the computer is in fact also the agent performing potentially malicious actions from that computer. However, if control of the computer has been subverted, for example in which the computer is part of a botnet controlled by a hacker, then knowledge of the identity of the user at the terminal does not materially improve network security or aid law enforcement activities [8].

Recently, another approach to biometric security was developed, this method scans the entire body of prospects to guarantee a better identification of this prospect. This method is not globally accepted because it is very complex and prospects are concerned about their privacy. Very few technologists apply it globally.

Issues and concerns

Privacy and discrimination

It is possible that data obtained during biometric enrollment may be used in ways for which the enrolled individual has not consented. For example, biometric security that utilizes an employee's DNA profile could also be used to screen for various genetic diseases or other 'undesirable' traits.[according to whom?]

Danger to owners of secured items

When thieves cannot get access to secure properties, there is a chance that the thieves will stalk and assault the property owner to gain access. If the item is secured with a biometric device, the damage to the owner could be irreversible, and potentially cost more than the secured property. For example, in 2005, Malaysian car thieves cut off the finger of a Mercedes-Benz S-Class owner when attempting to steal the car.[9]

Cancelable biometrics

One advantage of passwords over biometrics is that they can be re-issued. If a token or a password is lost or stolen, it can be cancelled and replaced by a newer version. This is not naturally available in biometrics. If someone's face is compromised from a database, they cannot cancel or reissue it. Cancelable biometrics is a way in which to incorporate protection and the replacement features into biometrics. It was first proposed by Ratha et al.[10]

Several methods for generating cancelable biometrics have been proposed. The first fingerprint based cancelable biometric system was designed and developed by Tulyakov et al.[11] Essentially, cancelable biometrics perform a distortion of the biometric image or features before matching. The variability in the distortion parameters provides the cancelable nature of the scheme. Some of the proposed techniques operate using their own recognition engines, such as Teoh et al.[12] and Savvides et al.,[13] whereas other methods, such as Dabbah et al.,[14] take the advantage of the advancement of the well-established biometric research for their recognition front-end to conduct recognition. Although this increases the restrictions on the protection system, it makes the cancellable templates more accessible for available biometric technologies.

Soft biometrics

Soft biometrics because of their inner nature are privacy preserving. They allow to describe a subject starting from his/her physical attributes. Those attributes have a low discriminating power, thus not capable of identification performance, additionally they are fully available to everyone (e.g. height, weight, gender) which makes them privacy-safe.

International sharing of biometric data

Many countries, including the United States, are planning to share biometric data with other nations.

In testimony before the US House Appropriations Committee, Subcommittee on Homeland Security on "biometric identification" in 2009, Kathleen Kraninger and Robert A Mocny [15] commented on international cooperation and collaboration with respect to biometric data, as follows:

To ensure we can shut down terrorist networks before they ever get to the United States, we must also take the lead in driving international biometric standards. By developing compatible systems, we will be able to securely share terrorist information internationally to bolster our defenses. Just as we are improving the way we collaborate within the U.S. Government to identify and weed out terrorists and other dangerous people, we have the same obligation to work with our partners abroad to prevent terrorists from making any move undetected. Biometrics provide a new way to bring terrorists’ true identities to light, stripping them of their greatest advantage—remaining unknown.

According to an article written in 2009 by S. Magnuson in the National Defense Magazine entitled "Defense Department Under Pressure to Share Biometric Data" the United States has bi-lateral agreements with other nations aimed at sharing biometric data.[16] To quote that article:

Miller [a consultant to the Office of Homeland Defense and America's security affairs] said the United States has bi-lateral agreements to share biometric data with about 25 countries. Every time a foreign leader has visited Washington during the last few years, the State Department has made sure they sign such an agreement.

Governments are unlikely to disclose full capabilities of biometric deployments

Certain members of the civilian community are worried about how biometric data is used. Unfortunately, full disclosure may not be forthcoming to the civilian community[17].

Countries applying biometrics

Australia

Visitors intending to visit Australia may soon have to submit to biometric authentication as part of the Smartgate system, linking individuals to their visas and passports. Biometric data are already collected from some visa applicants by Immigration. Australia is the first country to introduce a Biometrics Privacy Code, which is established and administered by the Biometrics Institute. The Biometrics Institute Privacy Code Biometrics Institute forms part of Australian privacy legislation. The Code includes privacy standards that are at least equivalent to the Australian National Privacy Principles (NPPs) in the Privacy Act and also incorporates higher standards of privacy protection in relation to certain acts and practices. Only members of the Biometrics Institute are eligible to subscribe to this Code. Biometrics Institute membership, and thus subscription to this Code, is voluntary.[18]

Brazil

Since the beginning of the 20th century, Brazilian citizens have had user ID cards. The decision by the Brazilian government to adopt fingerprint-based biometrics was spearheaded by Dr. Felix Pacheco at Rio de Janeiro, at that time capital of the Federative Republic. Dr. Pacheco was a friend of Dr. Juan Vucetich, who invented one of the most complete tenprint classification systems in existence. The Vucetich system was adopted not only in Brazil, but also by most of the other South American countries. The oldest and most traditional ID Institute in Brazil (Instituto de Identificação Félix Pacheco) was integrated at DETRAN[19] (Brazilian equivalent to DMV) into the civil and criminal AFIS system in 1999.

Each state in Brazil is allowed to print its own ID card, but the layout and data are the same for all of them. The ID cards printed in Rio de Janeiro are fully digitized using a 2D bar code with information which can be matched against its owner off-line. The 2D bar code encodes a color photo, a signature, two fingerprints, and other citizen data. This technology was developed in 2000 in order to enhance the safety of the Brazilian ID cards.[citation needed]

By the end of 2005, the Brazilian government started the development of its new passport. The new documents started to be released by the beginning of 2007, in Brasilia. The new passport included several security features, like Laser perforation, UV hidden symbols, security layer over variable data and etc. Brazilian citizens will have their signature, photo, and 10 rolled fingerprints collected during passport requests. All of the data is planned to be stored in ICAO E-passport standard. This allows for contactless electronic reading of the passport content and Citizens ID verification since fingerprint templates and token facial images will be available for automatic recognition.[citation needed]

Canada

Canada has begun research into the use of biometric technology in the area of border security and immigration (Center for Security Sciences, Public Security Technical Program, Biometrics Community of Practice). At least one program, the NEXUS program operated jointly by the Canada Border Services Agency and U.S. Customs and Border Protection, is already operational. It is a functioning example of biometric technology, specifically "iris recognition biometric technology"[20] used for border control and security for air travellers. Canada is also the home for the world's biggest biometric access control company called Bioscrypt Inc..

Gambia

The Gambia Biometric Identification System (GAMBIS) allowed for the issuance of Gambia's first biometric identity documents in July 2009. An individual's data, including their biometric information (thumbprints) is captured in the database. A National Identification Number (NIN), unique to each applicant applying for a card, is issued to the applicant. Biometric documents issued for Gambia include national identity cards, residential permits, non-Gambian ID cards and driver licenses.

Germany

The biometrics market in Germany will experience enormous growth until the year 2009. "The market size will increase from approximately 120 million € (2004) to 377 million €" (2009). "The federal government will be a major contributor to this development".[21] In particular, the biometric procedures of fingerprint and facial recognition can profit from the government project.[21] In May 2005 the German Upper House of Parliament approved the implementation of the ePass, a passport issued to all German citizens which contain biometric technology. The ePass has been in circulation since November 2005, and contains a chip that holds a digital photograph and one fingerprint from each hand, usually of the index fingers, though others may be used if these fingers are missing or have extremely distorted prints. "A third biometric identifier – iris scans – could be added at a later stage".[22] An increase in the prevalence of biometric technology in Germany is an effort to not only keep citizens safe within German borders but also to comply with the current US deadline for visa-waiver countries to introduce biometric passports.[22] In addition to producing biometric passports for German citizens, the German government has put in place new requirements for visitors to apply for visas within the country. "Only applicants for long-term visas, which allow more than three months' residence, will be affected by the planned biometric registration program. The new work visas will also include fingerprinting, iris scanning, and digital photos".[23]

Germany is also one of the first countries to implement biometric technology at the Olympic Games to protect German athletes. "The Olympic Games is always a diplomatically tense affair and previous events have been rocked by terrorist attacks—most notably when Germany last held the Games in Munich in 1972 and 11 Israeli athletes were killed".[24]

Biometric technology was first used at the Olympic Summer Games in Athens, Greece in 2004. "On registering with the scheme, accredited visitors will receive an ID card containing their fingerprint biometrics data that will enable them to access the 'German House'. Accredited visitors will include athletes, coaching staff, team management and members of the media".[24]

As a protest against the increasing use of biometric data, the influential hacker group Chaos Computer Club published a fingerprint of German Minister of the Interior Wolfgang Schäuble in the March 2008 edition of its magazine Datenschleuder. The magazine also included the fingerprint on a film that readers could use to fool fingerprint readers.[25]

India

India is undertaking an ambitious mega project to provide a unique identification number to each of its 1.25 billion people. The Identification number will be stored in central databases. consisting the biometric information of the individual. If implemented, this would be the biggest implementation of the Biometrics in the world. India's Home Minister, P Chidambaram, described the process as "the biggest exercise... since humankind came into existence". The government will then use the information to issue identity cards. Officials in India will spend one year classifying India's population according to demographics indicators. The physical count began on February 2011.[26] See Unique Identification Authority of India for more information.

Iraq

Biometrics are being used extensively in Iraq to catalogue as many Iraqis as possible providing Iraqis with a verifiable identification card, immune to forgery. During account creation, the collected biometrics information is logged into a central database which then allows a user profile to be created. Even if an Iraqi has lost their ID card, their identification can be found and verified by using their unique biometric information. Additional information can also be added to each account record, such as individual personal history.[citation needed]

Israel

The Israeli government has passed a bill calling for the creation of a biometric database of all Israeli residents; the database will contain their fingerprints and facial contours. Upon enrolling, a resident would be issued a new form of an identification card containing these biometrics. The law is currently in its trial period, during which enrollment is optional; pending on successful trial, enrollment would be mandatory for all residents.[27]

Opponents of the proposed law, including prominent Israeli scientists and security experts, warned that the existence of such a database could damage both civil liberties and state security, because any leaks could be used by criminals or hostile individuals against Israeli residents.[28][29]

Italy

Italy has standardized protocols in use to police forces. Specialist and University Faculty *Enrico Manfredi d'Angrogna Luserna v. Staufen Rome University Tor Vergata - Siena University[30]

Netherlands

Starting 21 September 2009, all new Dutch passports and ID cards must include the holder's fingerprints. Since 26 August 2006, Dutch passports have included an electronic chip containing the personal details of the holder and a digitised passport photograph.[31] The chip holds following data: your name (first name(s) and surname); the document number; your nationality, date of birth and sex; the expiry date; the country of issue; and your personal ID number (Dutch tax and social security (SoFi) number).[32]

Recent requirements for passport photographs

Since 28 August 2006, under EU regulation '2252/2004' all EU member states have been obliged to include a digital image of the holder's passport photograph.[33][34]

New Zealand

SmartGate was launched by the New Zealand government at Auckland International Airport on Thursday 3 December 2009.[35] The program is available at Auckland, Wellington and Christchurch international airports for arriving travellers, and also for travellers departing from Auckland (with plans to extend the program for departures from Wellington and Christchurch by mid-2011).[36]

The kiosk and gate system will allow all New Zealand and Australian electronic passport holders over 18 to clear passport control without needing to have their identity checked by a Customs officer. The system uses "advanced facial software" which "compares your face with the digital copy of your photo in your ePassport chip".[37]

Deputy comptroller of customs John Secker said SmartGate represented probably the biggest single development in border processing in New Zealand in the past two decades. People will have a choice whether they want to use the system or go through normal passport control.[38]

United Kingdom

Fingerprint scanners used in some schools to facilitate the subtraction of funds from an account financed by parents for the payment of school dinners. By using such a system nutritional reports can be produced for parents to surveil a child's intake. This has raised questions from liberty groups as taking away the liberty of choice from the youth of society. Other concerns arise from the possibility of data leaking from the providers of school meals to interest groups that provide health services such as the NHS and insurance groups that may end up having a detrimental effect on the ability of individuals to enjoy equality of access to services.[citation needed]

United States

Starting in 2005, US passports with facial (image-based) biometric data were scheduled to be produced. Privacy activists in many countries have criticized the technology's use for the potential harm to civil liberties, privacy, and the risk of identity theft. Currently, there is some apprehension in the United States (and the European Union) that the information can be "skimmed" and identify people's citizenship remotely for criminal intent, such as kidnapping.[citation needed]

The US Department of Defense (DoD) Common Access Card, is an ID card issued to all US Service personnel and contractors on US Military sites. This card contains biometric data and digitized photographs. It also has laser-etched photographs and holograms to add security and reduce the risk of falsification. There have been over 10 million of these cards issued.[citation needed]

According to Jim Wayman, director of the National Biometric Test Center at San Jose State University, Walt Disney World is the nation's largest single commercial application of biometrics.[39] However, the US-VISIT program will very soon surpass Walt Disney World for biometrics deployment.

The United States (US) and European Union (EU) are proposing new methods for border crossing procedures utilizing biometrics. Employing biometrically enabled travel documents will increase security and expedite travel for legitimate travelers.[citation needed]

NEXUS is a joint Canada-United States program operated by the Canada Border Services Agency and U.S. Customs and Border Protection. It is designed to expedite travel cross the US-Canada border and makes use of biometric authentication technology, specifically "iris recognition biometric technology".[20] It permits pre-approved members of the program to use self-serve kiosks at airports, reserved lanes at land crossings, or by phoning border officials when entering by water.

In popular culture

  • The 2002 film Minority Report features extensive use of casual Iris/Retina scanning techniques for both personal Identification and Point Of Sale transaction purposes. The main character changes his official Identity by having his eyes transplanted, and later accesses a security system using one of the removed eyes.
  • The movie Gattaca portrays a society in which there are two classes of people: those genetically engineered to be superior (termed "Valid") and the inferior natural humans ("Invalid"). People considered "Valid" have greater privileges, and access to areas restricted to such persons is controlled by automated biometric scanners similar in appearance to fingerprint scanners, but which prick the finger and sample DNA from the resulting blood droplet
  • The television program MythBusters attempted to break into a commercial security door[specify] equipped with fingerprint authentication as well as a personal laptop so equipped.[40] While the laptop's system proved more difficult to bypass, the advanced commercial security door with "live" sensing was fooled with a printed scan of a fingerprint after it had been licked, as well as by a photocopy of a fingerprint.[41]
  • In Demolition Man the character Simon Phoenix cuts out a living victim's eye in order to open a locked door which is fitted with iris scanning. A similar plot element was used in Angels & Demons (2009) when an assassin gains access to a top secret CERN facility using a physicist's eye. Unfortunately, both of these examples are misleading to the audience since the methods depicted for enucleation (removal of an eye) from a corpse would not be a viable way to defeat such a system.[42]

See also

Notes

  1. ^ As Jain & Ross (2008, footnote 4 on page 1) point out, "the term biometric authentication is perhaps more appropriate than biometrics since the latter has been historically used in the field of statistics to refer to the analysis of biological (particularly medical) data [36]" (wikilink added to original quote).
  2. ^ Strictly speaking, voice is also a physiological trait because every person has a different vocal tract, but voice recognition is mainly based on the study of the way a person speaks, commonly classified as behavioral. Biometric voice recognition is separate and distinct from speech recognition with the latter being concerned with accurate understanding of speech content rather than identification or recognition of the person speaking.
  3. ^ Systems can be designed to use a template stored on media like an e-Passport or smart card, rather than a remote database.

References

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  2. ^ a b c d Jain, Anil K.; Ross, Arun (2008). "Introduction to Biometrics". In Jain, AK; Flynn, P; Ross, A. Handbook of Biometrics. Springer. pp. 1–22. ISBN 978-0-387-71040-2. http://www.springer.com/computer/image+processing/book/978-1-4419-4375-0. 
  3. ^ http://biosecure.it-sudparis.eu/public_html/biosecure1/public_docs_deli/BioSecure_Deliverable_D10-2-3_b3.pdf
  4. ^ Weaver, A.C. (2006). "Biometric Authentication". Computer, 39 (2), p. 96-97. DOI 10.1109/MC.2006.47
  5. ^ a b Jain, A.K.; Bolle, R.; Pankanti, S., eds (1999). Biometrics: Personal Identification in Networked Society. Kluwer Academic Publications. ISBN 978-0792383451. 
  6. ^ "CHARACTERISTICS OF BIOMETRIC SYSTEMS". Cernet. http://www.ccert.edu.cn/education/cissp/hism/039-041.html. 
  7. ^ McConnell, Mike (January 2009). "KeyNote Address.". Biometric Consortium Conference. Tampa Convention Center, Tampa, Florida,. http://www.boozallen.com/consulting-services/services_article/42861927. Retrieved 20 February 2010 
  8. ^ Schneier, Bruce. "The Internet: Anonymous Forever". http://www.schneier.com/essay-308.html. Retrieved 1 October 2011. 
  9. ^ Kent, Jonathan (31 March 2005). "Malaysia car thieves steal finger". BBC Online (Kuala Lumpur). http://news.bbc.co.uk/2/hi/asia-pacific/4396831.stm. Retrieved 11 December 2010. 
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  12. ^ A. B. J. Teoh, A. Goh, and D. C. L. Ngo, "Random Multispace Quantization as an Analytic Mechanism for BioHashing of Biometric and Random Identity Inputs," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 28, pp. 1892-1901, 2006.
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  16. ^ Magnuson, S (January 2009). "Defense department under pressure to share biometric data.". NationalDefenseMagazine.org. http://www.nationaldefensemagazine.org/ARCHIVE/2009/JANUARY/Pages/DefenseDepartmentUnderPressuretoShareBiometricData.aspx. Retrieved 20 February 2010 
  17. ^ Defense Science Board (DSB) (September 2006). "Chapter 17, Recommendation 45". Unclassified Report of the Defense Science Board Task Force. Washington, D.C. 20301-3140: Office of the Under Secretary of Defense For Acquisition, Technology, and Logistics. p. 84. http://www.acq.osd.mil/dsb/reports/ADA465930.pdf. Retrieved 20 February 2010 
  18. ^ Biometrics Institute Privacy Code
  19. ^ http://www.detran.rj.gov.br/_documento.asp?cod=1438
  20. ^ a b "Cross Often? Make it simple, use NEXUS". http://www.cbsa-asfc.gc.ca/prog/nexus/air-aerien-eng.html#sup. Retrieved June 12, 2011. 
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  23. ^ Migration Information Source - Germany Weighs Biometric Registration Options for Visa Applicants
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  26. ^ "India launches biometric census". BBC News. 1 April 2010. http://news.bbc.co.uk/2/hi/south_asia/8598159.stm. 
  27. ^ The Jerusalem Post: Knesset approves controversial Biometric Database Law
  28. ^ Digital World: Getting to know all about you and me
  29. ^ YNET: Biometric Database - A Danger to State Security
  30. ^ Diognosys Methods in Forensic Anthropology - ELMA 2005 isbn13-978890242885
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  32. ^ http://www.paspoortinformatie.nl/english/Travel_documents/Reading_the_chip
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  34. ^ Criteria for accepting passport photos in Dutch travel documents Ministry of Foreign Affairs. "Fotomatrix English" (PDF). http://www.paspoortinformatie.nl/dsresource?objectid=4653&type=pdf. Retrieved 6 July 2010. .
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  36. ^ "How available is SmartGate?". http://www.customs.govt.nz/features/smartgate/smartgatelocations/Pages/default.aspx. Retrieved June 21, 2011. 
  37. ^ "How does SmartGate work?". http://www.customs.govt.nz/features/smartgate/howsmartgateworks/Pages/default.aspx. Retrieved June 21, 2011. 
  38. ^ Segedin, Kara (4 December 2009). "Digital gateway opens way for fast-track NZ welcome". The New Zealand Herald. http://www.nzherald.co.nz/compute/news/article.cfm?c_id=1501832&objectid=10613348. Retrieved 20 September 2011. 
  39. ^ Article describing Disney's 2006 biometric initiative replacing hand geometric scanners with fingerprint readers
  40. ^ Video of the Mythbusters episode on how to hack fingerprint scanners
  41. ^ "Crimes and Myth-Demeanors 1". Mythbusters. The Discovery Channel. July 12, 2006. No. 16, season 4. Transcript.
  42. ^ Carlisle, James; Carlisle, Jennifer (2009). "Eyeball to Eyeball: the Use of Biometrics in ANGELS & DEMONS". In Burstein, Dan; de Keijzer, Arne. Inside Angels & Demons: The Story Behind the International Bestseller. Vanguard Press. pp. 374–383. ISBN 978-1593154899. 

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