Explore how biometrics, like fingerprints, DNA, or other physical or behavioral markers, can help prevent fraud, solve crimes, and contribute to national security, as well as unlock your smartphone.
Biometrics are the physical characteristics and unique behaviors people exhibit that help identify them. If you've ever recognized someone by how they walk or how the back of their head looks in a photograph, you've used biometrics to identify them. These personalized characteristics and physical markers in our DNA, fingerprints, or voices can help prove identity or locate a suspect in a criminal identification.
Biometrics are important for various uses, including preventing financial fraud, helping people travel, and investigating crimes. Read on to learn more about different types of biometrics, how industries can use them, and how you can start a career that involves it.
Biometrics are biological or behavioral markers, such as fingerprints, retina scans, or gait analysis, that can identify people. Because each person's biometrics are unique and measurable, they can be used as an identification system for fraud prevention, public safety, forensics, and government identification. The two main uses of biometrics are verification and identification.
Verification. When you use your biometrics to verify who you are, you compare your biometrics with the stored biometric data to determine whether or not it’s a match. For example, using biometric verification to unlock your smartphone. You preset the biometric password by allowing the computer to scan your thumbprint, and the device will compare your thumb against the stored scan every time you want to unlock your device.
Identitification. To use biometrics for identification, a system compares the biometric data with a database of collected data to look for the potential identity of an unknown person. Investigators use this sort of biometric data in forensic investigations where the police might have, for example, a fingerprint associated with a suspect. The investigators can compare the fingerprint they collected at the crime scene with stored data to determine whose fingerprint it was.
Read more: What Is Authentication?
Biometrics can be behavioral or physical. The follow are examples of physical and behavioral biometrics.
Physical biometrics might include your:
DNA
Layout of your face
Voice
Fingerprints
Retinas or irises
Map of your veins
Geometry of your hands
Heartbeat
Behavioral biometrics include your:
Gait
How you sign your name
How you type
Your speech patterns
Here's a closer look at how experts can use some of these characteristics for biometric identification.
DNA is the genetic code that instructs your body how to develop and grow. It's in all of your cells, including your blood, hair, and skin cells. Unless you have an identical twin, you are the only person in the world with your DNA, which makes it useful for identification. DNA biometrics are commonly used in forensics.
Facial recognition biometric systems use an image of your face to confirm your identity. Computer vision makes it possible to analyze the geometry of your face, like the measurements between your features. An important area of research in facial recognition is developing systems that can better detect faces obscured by glasses or face masks to reduce false alarms.
Read more: What Is Facial Recognition?
Your voice has a unique “voice print,” created from your unique behaviors and the structure and anatomy of your throat, vocal cords, and mouth. Taken as a whole, you can map your voice with sound waves to create a model of the way you speak, which can be used as a biometric system.
Fingerprints, or the unique design of ridges on the ends of your fingers and toes, contain biometric data you can use for identification. Police and other investigators commonly use fingerprint identification and DNA evidence because this type of evidence can be left behind at crime scenes.
Your iris and retina have a unique design that you can map to provide a model of your eye. It's also possible to collect data about the movement of your eyes or what (and how) you look at things because eye movements are the product of complex neurological systems and physical anatomy, making it nearly impossible to replicate another person’s eye movements.
People can use biometric data for a wide range of uses, from opening a smartphone and proving identity to preventing credit card fraud and other forms of identity theft. Companies may use biometrics to restrict access to buildings or rooms within them. Here are some common applications for biometrics in forensics, government, and preventing fraud.
Investigators commonly use DNA or fingerprint analysis because those types of biometric data can be left behind at a crime scene. When people touch objects, they leave behind fingerprints. If their blood, skin cells, hair, or other biological material falls at the scene, they leave behind DNA. In addition to identifying criminals, investigators can also use forensic biometric data to identify disaster victims or help locate missing people.
The US government uses biometric data for several national security and counterterrorism purposes, including limiting access to sensitive databases and other digital information. Other government uses include limiting access to physical locations like military bases, processing immigration documents, and helping people travel in and out of the country legally.
Banks and other financial institutions can use biometric data to ensure that only authorized individuals can make payments or access financial accounts online. Biometric data is especially important for financial institutions as generative AI programs become stronger and make it easier for criminals to create new identities, a process called synthetic identity theft. Biometric data may become more important since it tends to be more difficult to fabricate, especially when used with other forms of identification.
If you’re interested in working with biometrics in your career, below are three potential job titles to choose from. The US Bureau of Labor Statistics (BLS) expects the following jobs to grow faster than average.
Average annual salary (US): $117,921 [1]
Job outlook (projected growth from 2022 to 2032): 5 percent [2]
Education requirements: To become a biometrics systems engineer, you’ll likely need to earn a bachelor’s degree in bioengineering or a related field.
Biometrics systems engineers design, build, and test biometric systems that capture, measure, and compare biometric data. In this role, you could build systems for law enforcement, health care, financial institutions, or any company implementing biometric identification programs. Instead of collecting and processing biometric data, you'll be creating the necessary systems for other people to work with biometric data.
Average annual salary (US): $118,913 [3]
Job outlook (projected growth from 2022 to 2032): 23 percent [4]
Education requirements: You may be able to become a bioinformatics scientist with a bachelor’s degree, but you likely need to earn a master’s degree or a doctorate.
Bioinformatics scientists work to create and improve the computer systems required to analyze and engage with biometric data, such as DNA datasets. In this role, your work empowers other scientists to work with the data. Keep in mind you may also work with pharmacological or genomic data.
Average annual salary (US): $42,858 [5]
Job outlook (projected growth from 2022 to 2032): 13 percent [6]
Education requirements: To become a fingerprint technician, you may need a bachelor’s degree in biology or forensics.
Fingerprint technicians help take and match fingerprint biometric data against the data stored in databases like the National Criminal Identification Center (NCIC)—often in a criminal justice setting. In this role, you may also be called to give expert testimony about how you came to the identification conclusions in any given case.
Using biometrics is changing how people interact with their environments by protecting valuables and preventing crimes. If you’re ready to take the next step and embark on a biometrics-related career, consider taking Bioinformatic Methods I, a course offered by the University of Toronto on Coursera. This class takes approximately 19 hours to complete and covers topics like genetic analysis, bioinformatics analysis, evolution, and comparative genomics.
Glassdoor. “Salary: Biometric Systems Engineer in the United States, https://www.glassdoor.com/Salaries/biometric-systems-engineer-salary-SRCH_KO0,26.htm.” Accessed February 20, 2024.
US Bureau of Labor Statistics. “Bioengineers and Biomedical Engineers: Occupational Outlook Handbook, https://www.bls.gov/ooh/architecture-and-engineering/biomedical-engineers.htm.” Accessed February 20, 2024.
Glassdoor. “Salary: Bioinformatics Scientists in the United States, https://www.glassdoor.com/Salaries/bioinformatics-scientist-salary-SRCH_KO0,24.htm.” Accessed February 20, 2024.
US Bureau of Labor Statistics. “Computer and Information Research Scientists: Occupational Outlook Handbook, https://www.bls.gov/ooh/computer-and-information-technology/computer-and-information-research-scientists.htm.” Accessed February 20, 2024.
Glassdoor. “Salary: Fingerprint Technician in the United States, https://www.glassdoor.com/Salaries/fingerprint-technician-salary-SRCH_KO0,22.htm.” Accessed February 20, 2024.
US Bureau of Labor Statistics. “Forensic Science Technicians: Occupational Outlook Handbook, https://www.bls.gov/ooh/life-physical-and-social-science/forensic-science-technicians.htm.” Accessed February 20, 2024.
Editorial Team
Coursera’s editorial team is comprised of highly experienced professional editors, writers, and fact...
This content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.