Biometric data is used with cutting edge technologies. Customers who no longer need to memorize complicated passwords will find significant convenience in biometric data, which also offers higher levels of protection. A user’s identity can be precisely verified in seconds using biometric data points representing fingerprint or a facial scan.
Biometric identity verification is a straightforward process. The algorithm can compare the physical characteristics of a user to accurate data stored in a database. The smart way of integrating this mechanism is to use one of the identity verification api provided by companies like ClearDil or Onfido.
Your biometric information is already being used daily for authentication if you own a smartphone like an iPhone. Possibly without being aware of it. This is because you use two distinct biometric identification methods when your iPhone scans your face before unlocking or when you use your fingerprint for Apple Pay.
Uses of biometric data
Currently, there are several uses for biometric data. How frequently smartphone users use their biometric information has already been discussed. However, the use of biometrics goes far beyond this field. For instance, e-passports use necessary biometric identifiers. This implies that consumers won’t have to stand in line at airport security to have their passports and other identity documents manually examined; instead, they can scan them. Similarly, law enforcement frequently uses government ID verification softwares for identity checks.
Types of biometric data
Biometric information contains physiological aspects like fingerprints and behavioral traits like a person’s distinct gait or keyboarding technique. Different biometric data types exist, and new biometric verification techniques are constantly being developed. Here are four of the most typical, though:
Facial recognition: The shape of a user’s face is measured using a photo id verification api or software. This entails gathering various data, including the space between a person’s eyes and the distance between their chin and brow. Users must take a selfie each time they log in to the system. The faces in the database are then matched to this selfie to find matches.
Fingerprint: The most widely used and technologically advanced biometric authentication method worldwide is fingerprint recognition. The system stores a template of a user’s fingerprint after it has been scanned and evaluated. Then, to identify a match, a user’s fingerprint is compared to all of the samples in the system when they try to access the service.
Voice recognition: A user is prompted to pronounce particular words or phrases using voice biometrics. A new speech sample is recorded and compared to the original voice prints each time the user tries to access the service. A user is permitted access to the service if the speech templates match.
Behavior recognition: You can also be recognized by several behavioral traits, such as how you handle your phone or swipe and scroll. By examining a user’s digital, physical, and cognitive behavior, behavioral biometrics can distinguish between legitimate customers and online criminals.
Is biometric data safe?
Despite the fact that biometric data usage is generally considered safe, some people have reservations. For instance, any data gathering could eventually become compromised, and biometric data is an exceptionally tempting target for hackers. Fortunately, biometric data is typically well-guarded than other data types; thus, this danger is negligible if firms use strict data security procedures.