Next Generation Identification

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Next Generation Identification (NGI) is a project of the Federal Bureau of Investigation (FBI). The project's goal is to expand the capabilities of the Integrated Automated Fingerprint Identification System (IAFIS), which is currently used by law enforcement to identify subjects by their fingerprints and to look up their criminal history. The NGI system will be a more modular system (allowing easy expandability). It will also have more advanced lookup capabilities, incorporating palm print, iris, and facial identification. The FBI first used this system in February 2011.

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The system was developed by Lockheed Martin [1] in partnership with Safran [2] and with a number of technology companies.

By 2012 the database had 13.6 million images representing 7-8 million individuals, 16 million images by mid-2013, and over 100 million records by 2014. The database includes both non-criminal and criminal face images, including at least 4.3 million face images taken for non-criminal purposes added by 2015. [3] These noncriminal photos come in part from background check images submitted by employers to the FBI. [4] By December 2015 the database had 70.8 million criminal records and 38.5 civil records. [5]

In 2016 a group of organizations published a letter condemning an FBI proposal to make the database exempt from the Privacy Act provision that allows individuals to inspect their own records in the database to check for accuracy and fairness. Signatories included La Raza, Color of Change, Amnesty International, National LGBTQ Task Force, as well as the companies Uber and Lyft. [5] The DOJ granted this exemption in 2017. [6]

The FBI accepted a 20 percent error rate in its facial recognition technology, according to a 2010 document obtained via FOIA. [5] [6]

Organizations involved in the project

Related Research Articles

Fingerprint Biometric identifier

A fingerprint is an impression left by the friction ridges of a human finger. The recovery of partial fingerprints from a crime scene is an important method of forensic science. Moisture and grease on a finger result in fingerprints on surfaces such as glass or metal. Deliberate impressions of entire fingerprints can be obtained by ink or other substances transferred from the peaks of friction ridges on the skin to a smooth surface such as paper. Fingerprint records normally contain impressions from the pad on the last joint of fingers and thumbs, though fingerprint cards also typically record portions of lower joint areas of the fingers.

Surveillance Monitoring something for the purposes of influencing, protecting, or suppressing it

Surveillance is the monitoring of behavior, many activities, or information for the purpose of information gathering, influencing, managing or directing. This can include observation from a distance by means of electronic equipment, such as closed-circuit television (CCTV), or interception of electronically transmitted information like Internet traffic. It can also include simple technical methods, such as human intelligence gathering and postal interception.

Biometrics are body measurements and calculations related to human characteristics. Biometric authentication is used in computer science as a form of identification and access control. It is also used to identify individuals in groups that are under surveillance.

Iris recognition Method of biometric identification

Iris recognition is an automated method of biometric identification that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual's eyes, whose complex patterns are unique, stable, and can be seen from some distance. The discriminating powers of all biometric technologies depend on the amount of entropy they are able to encode and use in matching. Iris recognition is exceptional in this regard, enabling the avoidance of "collisions" even in cross-comparisons across massive populations. Its major limitation is that image acquisition from distances greater than a meter or two, or without cooperation, can be very difficult.

Facial recognition system Technology capable of matching a face from an image against a database of faces

A facial recognition system is a technology capable of matching a human face from a digital image or a video frame against a database of faces, typically employed to authenticate users through ID verification services, works by pinpointing and measuring facial features from a given image.

The Criminal Justice Information Services Division is a division of the United States Federal Bureau of Investigation (FBI) located in Clarksburg, Harrison County, West Virginia. The CJIS was established in February 1992 and is the largest division in the FBI.

A government database collects information for various reasons, including climate monitoring, securities law compliance, geological surveys, patent applications and grants, surveillance, national security, border control, law enforcement, public health, voter registration, vehicle registration, social security, and statistics.

L-1 Identity Solutions, Inc. is a large American defense contractor in Connecticut. It was formed on August 29, 2006, from a merger of Viisage Technology, Inc. and Identix Incorporated. It specializes in selling face recognition systems, electronic passports such as Fly Clear, and other biometric technology to governments such as the United States and Saudi Arabia. It also licenses technology to other companies internationally, including China.

Vein matching Technique of biometric identification

Vein matching, also called vascular technology, is a technique of biometric identification through the analysis of the patterns of blood vessels visible from the surface of the skin. Though used by the Federal Bureau of Investigation and the Central Intelligence Agency, this method of identification is still in development and has not yet been universally adopted by crime labs as it is not considered as reliable as more established techniques, such as fingerprinting. However, it can be used in conjunction with existing forensic data in support of a conclusion.

The Integrated Automated Fingerprint Identification System (IAFIS), is a computerized system maintained by the Federal Bureau of Investigation (FBI) since 1999. It is a national automated fingerprint identification and criminal history system. IAFIS provides automated fingerprint search capabilities, latent searching capability, electronic image storage, and electronic exchange of fingerprints and responses. IAFIS houses the fingerprints and criminal histories of 70 million subjects in the criminal master file, 31 million civil prints and fingerprints from 73,000 known and suspected terrorists processed by the U.S. or by international law enforcement agencies.

The National Missing and Unidentified Persons System (NamUs) is a national clearinghouse and resource center for missing, unidentified, and unclaimed person cases throughout the United States.

Biometrics refers to the automated recognition of individuals based on their biological and behavioral characteristics, not to be confused with statistical biometrics; which is used to analyse data in the biological sciences. Biometrics for the purposes of identification may involve DNA matching, facial recognition, fingerprints, retina and iris scanning, voice analysis, handwriting, gait, and even body odor.

This article is about Biometrics used by the South African government to combat fraud and corruption and to increase the efficiency of service delivery to the public.

IDEMIA

IDEMIA is a multinational technology company headquartered in Courbevoie, France. It provides identity-related security services, and sells facial recognition and other biometric identification products and software to private companies and governments.

Identity-based security is a type of security that focuses on access to digital information or services based on the authenticated identity of an individual. It ensures that the users of these digital services are entitled to what they receive. The most common form of identity-based security involves the login of an account with a username and password. However, recent technology has evolved into fingerprinting or facial recognition.

DeepFace is a deep learning facial recognition system created by a research group at Facebook. It identifies human faces in digital images. The program employs a nine-layer neural network with over 120 million connection weights and was trained on four million images uploaded by Facebook users. The Facebook Research team has stated that the DeepFace method reaches an accuracy of 97.35% ± 0.25% on Labeled Faces in the Wild (LFW) data set where human beings have 97.53%. This means that DeepFace is sometimes more successful than human beings. As a result of growing societal concerns Meta announced that it plans to shut down Facebook facial recognition system, deleting the face scan data of more than one billion users. This change will represent one of the largest shifts in facial recognition usage in the technology’s history. Facebook plans to delete by December 2021 more than one billion facial recognition templates, which are digital scans of facial features. However, it will not eliminate DeepFace which is the software that powers the facial recognition system. The company has also not ruled out incorporating facial recognition technology into future products, according to Meta spokesperson.

Identix Incorporated, established in August 1982, designed, developed, manufactured, and marketed user authentication solutions by capturing and/or comparing fingerprints for security applications and personal identification. Markets included corporate enterprise security, intranet, extranet, internet, wireless Web access and security, E-commerce, government, and law enforcement agencies.

Contactless fingerprinting technology (CFP) was described in a government-funded report as an attempt to gather and add fingerprints to those gathered via wet-ink process and then, in a "touchless" scan, verify claimed identify and, a bigger challenge, identify their owners without additional clues.

DataWorks Plus LLC is a privately held biometrics systems integrator based in Greenville, South Carolina. The company started in 2000 and originally focused on mugshot management, adding facial recognition beginning in 2005. Brad Bylenga is the CEO, and Todd Pastorini is the EVP and GM.

Identity replacement technology is any technology that is used to cover up all or parts of a person's identity, either in real life or virtually. This can include face masks, face authentication technology, and deepfakes on the Internet that spread fake editing of videos and images. Face replacement and identity masking are used by either criminals or law-abiding citizens. Identity replacement tech, when operated on by criminals, leads to heists or robbery activities. Law-abiding citizens utilize identity replacement technology to prevent government or various entities from tracking private information such as locations, social connections, and daily behaviors.

References

  1. Lipowicz, Alice "FBI's new fingerprint ID system is faster and more accurate, agency says -- GCN". Government Computer News, Mar 09, 2011. Retrieved on 09 October 2013.
  2. "MorphoTrak Chosen as Biometric Provider for FBI Next Generation Identification Program". Morpho. 2009-09-08. Archived from the original on 2014-11-19. Retrieved 2013-04-19.
  3. Lynch, Jennifer (April 14, 2014). "FBI to have 52 million photos in its NGI face recognition database by next year". Ars Technica. Retrieved 4 August 2021.
  4. Lynch, Jennifer (October 19, 2011). "FBI Ramps Up Next Generation ID Roll-Out—Will You End Up in the Database?". Electronic Frontier Foundation. Retrieved 4 August 2021.
  5. 1 2 3 Kofman, Ava (June 1, 2016). "The FBI Wants to Exempt Massive Biometric Database From the Privacy Act". The Intercept. Retrieved 4 August 2021.
  6. 1 2 Whittaker, Zack (August 8, 2017). "FBI can keep secret who's in its biometrics "mega database," says Justice Dept". ZDNet. Retrieved 4 August 2021.