We now live in a world where scenes from “Mission: Impossible” have become a norm. People no longer need keys to their homes since they can choose to have fingerprint door locks. Banks are beginning to use iris scans to verify financial transactions.
It’s fascinating how biometric technology has evolved and brought us closer to the futuristic world depicted in science fiction movies. In this post, we’ll dive deeper into biometric devices, including their history, types, and inner workings.
What Is a Biometric Device?
A biometric device is a security technology that uses the biological characteristics of human beings for identity verification and authentication. These devices capture the unique physical traits of a person, such as their fingerprint, iris, and facial image. They analyze and match it to stored data.
Biometric devices effectively replace traditional authentication methods, such as passwords. They offer a higher level of security since biometric data is inherently unique to each individual, making it nearly impossible to steal or copy compared with passwords. Biometric security data is also difficult to share with someone else.
How Does Biometric Authentication Work?
As previously mentioned, a biometric authentication system works by comparing an individual’s biological traits to stored data. It begins by capturing unique data points using a biometric device.
For example, you place your finger on a fingerprint scanner to capture an image of your fingerprint and extract its unique features.
The data is then processed and converted into a digital format known as a “template.” The template is then compared with stored templates in a database to see if there are matches. If a match is found, the user gets authenticated.
History of Biometrics
Biometrics has ancient roots. For example, the Babylonians used fingerprints to sign clay tablets.
However, scientific exploration on the uniqueness of fingerprints didn’t begin until the 17th century. Marcello Malpighi, a physiologist, examined fingerprints under the microscope and observed unique ridges and loops. This finding was confirmed in 1823 by another physiologist, Johannes E. Purkinje, who found nine types of fingerprint patterns.
More scientists explored fingerprints, including the cousin of Charles Darwin, Sir Francis Galton, who focused on fingerprint minutiae, the points where fingerprint ridge lines end or split into branches. He published the first book about fingerprints in 1892.
Galton’s discovery led to law enforcement’s use of fingerprints in 1894. In particular, a British police officer named Sir Edward Richard Henry worked with Galton on the first fingerprint classification system. Another police official in Argentina created a similar system based on Galton’s findings, leading to the identification of a murderer in 1892.
Developments in computer technology made biometric systems more advanced over the centuries. In the 20th century, we saw new types of biometrics, including facial recognition systems and iris scanners.
The widespread use of biometrics began in the 21st century. Its application was no longer limited to law enforcement, but now encompasses smartphone unlocking, border control, and banking security. The technology has also expanded beyond physical and now includes behavioral traits.
Types of Biometric Devices
Biometric devices can be categorized into two main types—physiological and behavioral.
Physiological Biometrics
Physiological biometric devices rely on an individual’s unique physical characteristics. Examples include the following:
- Fingerprint scanners : These tools analyze the distinctive patterns on a person’s fingerprint, enabling people to unlock their smartphones and access buildings. They also aid in law enforcement investigations.
- Facial recognition systems: They analyze unique facial features like eye distance and nose shape. We commonly see this applied in smartphone unlocking, airport security, and photo tagging.
- Iris or retina scanners : These tools examine the intricate patterns within the iris or retina of one’s eyes. They are often employed in high-security settings, such as border control and banking.
- DNA analysis equipment : These leverage the unique genetic code of an individual, which is primarily used in forensic investigations and paternity testing.
- Palm or finger vein scanners : They analyze the unique vein patterns in one’s palm or fingers and are commonly used in banking and other high-security applications.
Behavioral Biometrics
This type of biometric devices focus on unique behavioral traits. Some examples include the following:
- Voice recognition systems: These devices can analyze unique vocal characteristics, such as pitch and tone. They often power voice assistants and authenticate customer service communications.
- Gait analysis systems: Some biometric hardware can examine the way a person walks. Gait analysis is often used in surveillance and security systems.
- Keystroke dynamics: Some systems commonly used in fraud prevention and access control can analyze the rhythm and timing of a person’s typing patterns.
New biometric technologies are constantly being developed, so this is not an exhaustive list of the types of biometrics.
Biometric Devices in Action: Real-World Applications
From the moment you wake up, you can already see biometric systems at work, specifically when you unlock your phone. Biometric technology has become increasingly integrated into our everyday lives. Below are some real-world examples of biometric technology at work.
Access Control
Biometric systems are commonly used to allow or block access to buildings, offices, and restricted areas. Most organizations employ fingerprint scanners, facial recognition cameras, and iris scanners to control entry based on authorized user identification.
Border Control
Biometric systems are increasingly used at border crossings to verify the identities of travelers and enhance security. Some modern airports employ automated immigration processing with facial recognition and iris scanning technologies to compare traveler information with databases and identify potential risks. In line with this trend, the European Union plans to launch its Entry/Exit System (EES) in 2025, which will register non-EU nationals at Schengen Area borders using biometric data, such as facial scans and fingerprints, to streamline border control and bolster security.
Financial Transaction Verification
Biometric authentication is crucial in the banking sector. Fingerprint, facial, and voice recognition are used to authenticate online and mobile banking transactions, authorize payments, and prevent fraudulent activities. This enhances security for both banks and customers.
Healthcare
In the healthcare sector, biometrics enhance patient safety and streamline operations. Fingerprint or facial recognition can be used to verify patient identity, ensuring accurate medication administration and preventing medical errors. Biometric systems can also be used to control access to sensitive patient data and maintain confidentiality.
Law Enforcement
Biometric technology plays a critical role in law enforcement. Fingerprint databases are used to identify suspects and match them to criminal records. Facial recognition systems are employed in surveillance footage analysis and can assist in identifying individuals of interest.
Additionally, DNA analysis is a cornerstone of forensic investigations, aiding in crime scene investigations and suspect identification.
Mobile Devices
Fingerprint scanners and facial recognition systems are widely used to unlock smartphones, secure mobile payments, and access mobile apps. Aside from enhancing user convenience, it also adds a higher level of security.
Time and Attendance
Many businesses use biometric systems to track employee attendance accurately. Fingerprint scanners or facial recognition systems can record employee arrival and departure times, eliminating the need for manual time sheets and reducing the potential for dishonest reporting.
Emerging Trends in Biometric Technology
Biometrics have certainly come a long way, but there can be more developments in the future. One possibility is multimodal biometrics, where multiple biometric traits are combined for stricter security and greater accuracy. For example, banks may also require facial recognition, aside from fingerprints, to verify an online money transfer.
Artificial intelligence (AI) is also set to enhance biometric security. Specifically, AI algorithms can improve accuracy and data analysis and enable adjustments based on real-time conditions. Facial recognition systems, for example, can better adapt to variations in lighting, aging, and facial expressions with the help of AI.
Lastly, data privacy and ethical considerations will become among the top concerns as biometric technology becomes more integrated into our daily routines. This may push lawmakers to come up with targeted regulations that will help protect biometric data.
