Top Most Common Types of Biometric Authentication and Their Pros
As technology can’t and won’t stop evolving, so does the need for secure and reliable authentication methods. Biometric authentication is one such method that has gained popularity in recent years. It’s also explained in the article “How Surveillance Is Used In Security.” Basically, it involves using the unique physical features of a person as a means of identification or verification.
From voice recognition to fingerprint scanning, there are several types of biometric authentication available today. In this blog post, we’ll highlight the four most common types of biometric authentication along with their pros.
Voice recognition is a biometric authentication method that rose to first place in the world due to its high convenience and ease of use. It involves using an individual’s unique voice patterns as a means of identification or verification.
One major advantage of voice recognition is that it can be used remotely, making it ideal for situations where physical presence is not even a possibility. This makes it particularly useful for business settings like call centers and smart speakers like Amazon Alexa, Apple Siri, or Google Nest. The best part is it needs no physical touch at all.
Aside from your voice, your eye features can also work as a subject for biometric authentication, especially your iris, to verify your identity. The iris is the most unique part of the eye, which has distinct patterns that are different for every individual, making it an ideal identification method.
This technology works by taking a high-resolution image of the iris using specialized cameras. The software then analyzes this image and compares it with existing records to determine if there is a match. Its level of accuracy is through the roof. The probability of two identical irises is extremely low, making it nearly impossible for someone else to impersonate you.
Another popular form of biometric authentication, you guess it, is fingerprint scanning. You may even read this post using a smartphone that has this feature. It involves capturing an individual’s unique fingerprint pattern and comparing it to a pre-existing database for verification …