The Difference Between Facial Verification And Facial Recognition

As the world of technology continues to grow, face technology is also helping businesses and authoritarian bodies to set better security standards. Facial verification and face recognition are two of many biometrics terminologies used interchangeably in the industry. The two phrases may sometimes be used interchangeably, but the technology they refer to serves distinct purposes.

This article will delve deep and understand the primary difference between technologies.

Facial Verification And Face Recognition: The Difference

Though both technologies are used to verify an individual’s identity using biometrics, they are very different in practice. However, the major difference between the two of them is as follows:

Facial Verification

Facial Verification verifies a person’s identity by analyzing one or more of their biological traits.

Face Recognition

In face recognition technology, a face biometrics app recognizes and authenticates an individual by comparing and analyzing facial features.

How Does Facial Verification Work?

Facial verification is a one-to-one process, while facial recognition needs to compare a face to a collection of already-identified faces multiple times. A simple online facial verification procedure is as follows:

  • Initially, the user’s government-issued photo ID, such as a passport or driver’s license, is required for photographic identification.

  • The identity verification process allows users to take a selfie, which is cross-matched with the photo on their ID document to confirm their identity. This security measure reduces the likelihood of fraud, as scammers are prevented from using their own photos, which would ultimately expose their true identity to the company.

  • When a user takes a selfie, a step called “liveness detection” checks to see if the user is actually there at the time of the contact. Spoofing crimes, which are growing more common, can be prevented by taking this measure.

  • Liveness recognition and a picture are taken simultaneously for a biometric template. Like a face stamp, this template is unique to the person and can be used again in the future to prove who they are.

  • After the company has confirmed a person, they are given login information.

  • Users are asked to take a new selfie when they login to their account or do a high-risk transaction. In a matter of seconds, a new face template can be compared to the one made when the person first signed up, and a decision can be made about whether or not they match.

  • The new face template is compared to all face maps that come after the first face map. This makes the proof process more secure and accurate.

Benefits of Facial Verification Service

  • Better Identity Assurance: Companies can verify an individual’s identity more easily if they get government-issued identification and compare it to a selfie.

  • Need for Speed: Today’s users have high standards for authentication processes, demanding that they be simple, straightforward, and trustworthy. Modern facial verification can quickly compare a fresh selfie to an old one with an extraordinarily high degree of identification assurance.

How Does Face Recognition Work?

To verify a user’s identity, facial recognition systems analyze their likeness. Face recognition technology relies on biometric mapping to identify a person from an image or video of their face. Details are compared to a database of known faces to see whether a match was made.

This is how facial recognition technology operates:

  • From a still or moving picture, a face image is taken.

  • Photos of people’s faces are analyzed using face recognition software, which looks for distinguishing features like the distance between the eyes and the width of the forehead and chin.

  • The program creates a unique identifier by analyzing the features that make each person’s face apart.

  • When comparing the facial signature to a database of known faces, a database of known faces is employed. Where n is the total number of face signatures in the database, known as a 1:N comparison.

  • A match or no match is established based on how well the faceprint matches the picture in the database.

  • Inaccuracies in facial recognition technology are a reality. Camera quality, database size, and the subject’s gender and ethnicity are only a few of the factors that may significantly affect the accuracy of face recognition systems.

Concluding Remarks

Face identification helps both businesses and their clients. In contrast to facial recognition technologies, which often work without the user’s knowledge, the face verification system is permission-based. It gives users high levels of security while making it easy for them to access their accounts.

Furthermore, facial verification has become an attractive technology because users only need to take a new picture to log into their favorite app without verifying their name.

Lavanya Rathnam

Lavanya Rathnam is an experienced technology, finance, and compliance writer. She combines her keen understanding of regulatory frameworks and industry best practices with exemplary writing skills to communicate complex concepts of Governance, Risk, and Compliance (GRC) in clear and accessible language. Lavanya specializes in creating informative and engaging content that educates and empowers readers to make informed decisions. She also works with different companies in the Web 3.0, blockchain, fintech, and EV industries to assess their products’ compliance with evolving regulations and standards.

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