Artificial Intelligence in Biometrics

In the last few years, artificial intelligence (AI) has made its way into every industry, from medical and research to education and travel. It seems like every day there’s an article about some new piece of technology being developed or put into practice to help make our lives easier, safer, or more comfortable. At first glance, it might not seem like AI has much of a place in the world of biometrics, but it turns out that there are many applications of AI in this field as well.

Biometrics Technology Overview

Artificial intelligence is a subset of machine learning, which allows artificial neural networks to learn from large data sets. Using biometric data as inputs and training algorithms and code, AI can more accurately predict outputs (in our case, identification).

Thus far, advances in AI have focused on image recognition; it’s easy to see how facial recognition technology can be used for automated password reset features or even automatic login procedures. But what about fingerprints? What if your thumbprint could unlock your phone?

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This has huge potential implications for security: devices will no longer need to store passwords or use passcodes, instead of using devices that are much less susceptible to hacking via keystroke loggers or other methods. Similarly, you could log into your bank account using just your fingerprint—no username or password required!

Artificial Intelligence in Biometrics

Identifying and Handling Data Breaches With Machine Learning. Many of us have become concerned about companies that use our data, but few of us think about how it could be misused by other parties.

Data breaches are becoming increasingly common, but thanks to artificial intelligence they may soon be a thing of the past: companies could identify and automatically respond to data breaches using machine learning.

Artificial intelligence offers much greater opportunities for protection than traditional security systems, which often lag behind attackers in sophistication. One day soon we may see AI systems protect people from potential threats and intervene before anything bad happens (like when one British company prevented a cyber attack on their computer system by detecting suspicious activity).

In addition to keeping us safe from attacks on our privacy, AI-powered security software will also reduce corporate costs associated with handling data breaches—and ultimately prevent harm from occurring.

Types of Biometrics

Fingerprint Scanning, Facial Recognition, and Voice Verification. When it comes to biometric security technology, you may have a few questions. Do biometric systems require that I put something on my body? How do they work? What kind of accuracy and reliability do they offer? And, more importantly, what do they provide over more traditional options? This post will answer these questions and many more! Here are some common types of biometric security technologies you can use today.

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Facial Recognition Technology

One of AI’s most useful applications is facial recognition technology, which makes it possible to identify individuals by scanning their faces. Whether you’re a parent trying to keep track of your kids at a busy amusement park or a consumer concerned about privacy and data protection, there are many reasons why facial recognition technology is invaluable. However, while it can be highly effective, facial recognition technology has its limitations. Facial recognition systems are vulnerable to attacks like Photoshop and photo manipulation. And just because an algorithm identifies something as being likely human doesn’t mean that it is right—or safe. In order for facial recognition technology to reach its full potential as an artificial intelligence tool, we need to make sure that every aspect of our data-collection procedures and processes are up-to-date with all our newest technologies so that we minimize any errors on part of algorithms and people alike.

Voice Recognition Technology

The first step to building artificial intelligence systems that can respond to data breaches is building technology that can understand and identify human voices. This type of biometric software has many useful applications, but it’s also essential for assessing when a computer may be compromised, allowing you to proactively defend against malicious parties. Voice recognition technology has been around for quite some time; however, recent advancements allow voice-identification systems to work much more efficiently than ever before.

Iris Scanning Technology

Iris scanning uses artificial intelligence to identify and authenticate people through their iris. It’s been used for a long time as a tool for identification, but now there are new methods being developed that allow it to be used more easily in commercial settings. One company has taken things a step further by combining iris scanning with biometric voice recognition, allowing you to be identified no matter which form of biometric authentication you’re most comfortable with.

Fingerprints Authentication Technology

With fingerprints authentication technology, you can use your finger to authenticate purchases, and quickly and easily gain access to your computer. This means no longer having to remember multiple passwords or giving up too much of your privacy by sharing passwords with co-workers. Fingerprints authentication works like any other biometric identifier: Your fingerprint will be stored on a digital device along with a password that only you know. When you want to log in, simply swipe your finger and log in!

Also Read: Current Trends in the Development of Educational Technology and E-Learning Projects

How AI Can Improve Biometric Authentication Systems

Artificial intelligence has already come a long way and is capable of performing more complex tasks than ever before. From chatting with an AI assistant like Alexa to ordering groceries or finding love on an online dating website, it is clear that we’re quickly becoming dependent on these systems. As technology continues to evolve, AI will also expand into new areas. One area where we’re seeing artificial intelligence thrive right now is biometric authentication systems.


This type of biometric technology uses a unique physical characteristic to identify a person. Fingerprints are used as an example of a physical biometric, but eye scans, voice recordings, and facial recognition also fall into this category. Unlike behavioural biometrics that requires active participation from users—such as typing patterns or password combinations—physical traits do not change over time and are simple to implement and use. One downside is that these types of credentials cannot be reset like behavioural biometrics.


Artificial intelligence (AI) is one of those subjects that you can’t turn around without bumping into these days. Whether it’s AI software helping to automate tasks and make our lives easier or its AI-generated content like music, news, or art-making waves on social media sites and video streaming services, artificial intelligence (AI) has become a pervasive technology that has even found its way into biometric systems for use in businesses today.

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