The terms face recognition and face authentication are often used interchangeably. After all, both terms refer to the same technology, right? Well, not exactly. Although both technologies use biometric software systems to identify individuals, they employ distinct processes and are applied for different purposes.
It is crucial to know how these two biometric identification systems differ so organizations can understand the ethical and legal concerns surrounding facial recognition. In this article, we'll explain the key differences between facial authentication and facial recognition, how each technology works, and where they are commonly used.
Different purposes: Authentication verifies a claimed identity (1:1 or 1:few matching), while recognition identifies unknown individuals from a database (1:many matching)
Privacy implications: Authentication requires explicit consent and participation, while recognition can operate without subject awareness
Data handling: Authentication systems like Alcatraz AI's don't store actual facial images, only mathematical templates
Regulatory compliance: Face authentication adheres to privacy regulations like BIPA, GDPR, and CCPA when properly implemented
Ethical considerations: Authentication empowers users with choice, while recognition raises surveillance and privacy concerns
Facial recognition is a biometric technology that identifies or confirms an individual's identity by analyzing and matching their facial features. It works by mapping facial characteristics such as the distance between eyes, nose width, and cheekbone shape to create a unique digital "faceprint." This technology can identify people in photos, videos, or in real-time by comparing captured facial data against a database of stored faces. It's commonly deployed in security systems, law enforcement, surveillance, and smartphone unlocking features.
The term facial recognition has come under great scrutiny in the past several years. There have been several companies that have leveraged the technology in ways that many people believe violate their privacy rights. These companies surreptitiously collected biometric data from users that were, in some cases, unaware that the data was being collected.
This data has been compiled into large databases that are then shared or even sold to third-party entities for use in such applications as covert surveillance or to send targeted marketing ads. This non-cooperative use of the technology is what many people associate with when they are thinking about or discussing face recognition. Starting with the Illinois Biometric Information Privacy Act (BIPA) and followed by GDPR in the EU, CCPA in California, and others, legislation has been created to limit the use of non-coop
Facial authentication is a biometric verification technology that confirms a person's identity by comparing their facial features with a pre-enrolled template. Unlike facial recognition (which identifies unknown people from a database), authentication verifies a claimed identity through a one-to-one or one-to-few matching process. It requires the user's active participation and consent, providing secure access control without physical credentials like badges or PINs. Modern facial authentication systems incorporate liveness detection to prevent spoofing attempts using photos or masks.
In contrast to non-cooperative face recognition, face authentication technology is used to verify the identity of an individual that is actively interacting with the system. Face authentication can be implemented using different techniques.
If you have an Apple iPhone X or later model, you are familiar with one of these face authentication techniques known as one-to-one matching (aka face verification). This method provides a very simple “Yes or No” answer to the question of, “Is this or is this not the right person trying to unlock me?”
Systems such as the Alcatraz AI Rock take advantage of a technique known as one-to-few matching. This method leverages artificial intelligence to verify the identity of the person interacting with the system. All system users are aware that they are using a biometric system and have provided consent prior to enrolling or being authenticated. These systems provide tools that allow companies to administer the biometric profiles in a way that adheres to local legislation and protects the privacy of the enrolled individuals.
Alcatraz AI addresses these ethical concerns through a fundamentally different approach to facial biometrics:
This privacy-by-design approach ensures compliance with regulations like BIPA, GDPR, and CCPA, protecting both organizations and users.
Implementing Facial Authentication in Various Industries
Organizations across industries have successfully implemented facial authentication to enhance security while respecting privacy:
In each case, the key difference from facial recognition is that users explicitly opt into the system for a specific purpose, with their data used solely for authentication rather than identification or tracking.
Tighten Access Control With Alcatraz AI
Now you know why these two terms should not be used interchangeably! If you need to boost your organization’s physical security and tighten access controls, Alcatraz AI’s touchless face authentication system can help. Contact us now to schedule an in-person or virtual demo to see our AI-powered, access control solution in action.