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Develop latent prints on submitted evidence using state-of-the-art equipment and chemical processing techniques.

Search images of latent prints against millions of known reference holdings within the Next Generation Identification

Perform friction ridge analysis to make biometric associations to persons of interest.

Generate reports based on the results of completed friction ridge examinations and provide expert testimony on reported findings in legal proceedings.

Provide record check reports and testimony for local, state, or federal law enforcement agencies in connection with a court date.

Provide assistance to law enforcement agencies across the nation on cold cases.

Respond to legal and admissibility issues related to latent print testimony, the science of friction ridge analysis, and other legal matters.

Conduct traditional latent print examinations—implemented by specially-trained Hazardous Evidence Analysis Team members—on evidence contaminated with hazardous chemical, biological, radiological and nuclear materials.

Provide humanitarian support for disaster victim identification in mass casualty scenarios, as well as resources and assistance to obtain high quality postmortem fingerprints of unknown deceased individuals.

Provide training to law enforcement agencies and partners both domestically and internationally on various latent print topics to include testimony, processing crime scenes, processing evidence, and different methods to obtain high quality fingerprints.

Conduct research and validation on numerous latent print topics relevant to recent trends in the latent print community.

Collaborate with and support law enforcement agencies, local and tribal police departments and other partners by providing valuable resources and support when needed.

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The Federal DNA Database Unit (FDDU) serves the greater forensic community by aiding investigations through hit confirmations against individuals whose profiles are in the National DNA Index System (NDIS). Agencies submit blood or buccal samples to the unit from individuals who are required by law to do so. These include individuals convicted of, arrested for, or facing charges of certain qualifying federal crimes or convicted of qualifying District of Columbia offenses, as well as non-U.S. citizens who are detained under the authority of the United States. FDDU then produces a DNA profile for each of these individuals and uploads it to the NDIS, which is part of the Combined DNA Index System (CODIS).

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The DNA Casework Unit (DCU) provides forensic DNA examinations to the FBI and other duly constituted law enforcement agencies in support of criminal, missing persons, and intelligence cases through evidence testing using forensic serological, mitochondrial DNA, and nuclear DNA methodologies.

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The CODIS Unit manages CODIS and NDIS. It is responsible for developing, providing, and supporting the CODIS program to federal, state, and local crime laboratories in the United States and selected international law enforcement crime laboratories to foster the exchange and comparison of forensic DNA evidence from violent crime investigations.

The CODIS Unit also provides administrative management and support to the FBI for various advisory boards, Department of Justice grant programs, and legislation regarding DNA.

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Ear biometrics is one of the most accurate types of biometrics to authenticate a person. Some believe that it provides more accurate result than fingerprint and will be the future of biometrics

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Gait recognition is a biometric technology method that analyzes an individual by how the way they walk like saunter, swagger, sashay, etc. This technology is highly suitable for surveillance analysis.

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A quite strange biometric method compare to fingerprint or face recognition system. It works with the body odor of an individual for verification and identification.

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Typing or keystroke recognition is one of the behavioral types of biometrics. It analyzes the way a person press the keys to type something. The keystroke dynamics uses the data of the manner and the rhythm an individual types on a keyboard.

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Finger vein recognition is a method of biometric identification that works with the patterns of finger vein underneath the skin’s surface. It matches with the vascular pattern of an individual’s finger to previously acquired data.

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Eye vein recognition is a type of biometric method that helps pattern-recognition techniques to video images of the veins of an individual’s eye. The veins are complex and unique that makes it one of the most accurate biometric authentication systems.

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Skin reflection biometric is quite uncommon biometric modality. In this system, several LEDs send light at various wavelengths into the human skin and photodiodes read the scattered light that is analyzed to perform the authentication.

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Lip motion technology analyzes a person’s lip motions and creates a password according to the activity. Then it verifies the data with previously stored data with new lip motion data.

Compare to other biometric modalities, lip motion technology is quite a new modality.

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Brainwave recognition is a unique and surprising biometric modality. It measures the signals given by the brain to create a unique individual feature set on the database. Some researchers believe that it is a hundred percent accurate biometric identification process.

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As like fingerprint, finger vein, palm vein, iris, and retina recognition, footprint can also be a unique physiological type of biometric identification. It is relatively new biometric identification system compares to other modalities.

This system captures the footprint based biometric identification characteristics of an individual. Then stored the data in a database for further comparison to verify the person.

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Facial thermography uses Infrared cameras to capture the flow of blood beneath the skin of an individual. Then, the underlying pattern generates a robust biometric characteristic for positive identification.

This technology can be used to test “liveness” of an individual.

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Handwritten biometric recognition is close to signature recognition. It is a system of recognizing a person by his handwriting procedure. As like signature recognition, it can also be categorized in two parts: static and dynamic.

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Signature recognition is one of the behavior types of biometrics. It works in two ways, static and dynamic. In this recognition system, the way an individual signs his name is counted as the characteristic of that person. It is based on metrics like number of interior contours and number of vertical slope components.

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Pam vein recognition is one of the physiological types of biometrics that analyzes the unique patterns of the vein in the palms of an individual’s hand.

As like other biometric technology, first it captures an image of the individual’s palm, then analyzes and processes the vein data. The data is stored for further comparison.

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Voice/ speech recognition is a combination of physiological and behavioral biometrics. It works with speech patterns that capture by speech processing technology. This system analyzes the fundamental frequency, nasal tone, cadence, inflection, etc. to recognize a person’s speech.

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Hand geometry recognition works with the shape of a person’s hand characteristics. The hand geometry reader measures an individual’s hand in several dimensions. It then stores the data for further comparison and measurement.

It is mostly popular for its comfort, easiness, and public acceptance; however, this system isn’t very unique as like face or fingerprint recognition.

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Retina recognition is a biometric technique that uses infrared technology to capture the unique patterns of an individual’s retina blood vessels.

As an internal organ of the eye, retina recognition is recognized as a reliable biometric authentication system.

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The face recognition technique records face images through a digital video camera and analyses facial characteristics like the distance between eyes, nose, mouth, and jaw edges. These measurements are broken into facial planes and retained in a database and then used for comparison.

The system then creates a template on the database for that person to compare the data for further uses.

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Many recognize Iris recognition as the best biometric technology for identification.

It analyzes the iris characteristics including rings, furrows, and freckles that is situated in the colored tissue around the pupil. The iris scanner contains a video camera and works through glasses and even contact lenses.

Generally, iris recognition can be done by two methods: the Daugman System and Wildes System.

Iris recognition is used in many countries that are more crucial like border crossings, banking, private companies, institutes, law enforcement agencies, etc.

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Fingerprint recognition technology has been done by taking a photograph of an individual's fingertips and record characteristics which include whorls, arches, and loops of the fingertip.

This technique also captures the patterns of ridges, furrows, and minutiae for an accurate analysis. This process can be done in 3 different ways: minutae based, correlation based, and ridge feature based.

The fingerprint of a human being is a very secured, reliable, and stable biometric solution. Law enforcement agencies have been using this technology for decades to identify criminal.

Currently, this technique is becoming popular in household security, banking, workforce management, etc.