Different Types Biometric Authentication in 2020
Biometric allows identification of an identity based on verifiable data, that are unique biological traits specific to an identity. It is a process of identity authentication that compares a person’s features to that person’s previously-stored biometric template to recognize the identity.
The biometric information is captured at the time of account registration and stored in the database. At the time of authentication, in real-time, the features are re-captured and matched with the ones in the database. The aim of biometric identification is to identify a person against unique features.
[Also Read:- 10 Best Bourbon Whiskeys]
Trends in Biometrics
Due to a large number of fraudulent activities, with the advent of technologies and innovations, the online world is prone to major cyber attacks such as identity theft, data breaches, account takeover, and even terrorist financing and money laundering, etc. To combat these frauds, there is a dire need to take in place security measures. Biometric authentication helps online businesses to authenticate each onboarding customer in real-time.
Unauthorized access to confidential information is the root of many fraudulent activities. From banks and financial institutions to several online platforms, an authorized entity that accesses private data initiates several frauds. In the same way, data breaches take place.
Biometrics technology in combination with AI Service providers and machine learning algorithms established itself quickly. Due to which now industrial are taking advantage of it to implement security in the systems. Another reason being, public acceptance in adopting biometric technology and an easy verification method had influenced industries to use it. Day by day this technology is introducing more features that help provide high accuracy and precision results.
Online applications have integrated facial recognition technology to authenticate each onboarding customer and provide controlled access to user accounts. In this way, identity theft and credential stuffing frauds can be eliminated. GooglePay is also using face recognition biometrics to authenticate users and ensure a secure digital payment system. In this way, the incidences of fraudulent transaction suing someone other’s account can be reduced. Hence both security and user experience remain intact.
Categories of biometrics
There are two categories of biometrics through which identity verification can be performed against unique biological features:
Physiological Measurements: The measurements based on physical characteristics;
Face Recognition: Facial recognition technology is based on unique traits such as distance between eyes, nose width, jawline, face and chin shape, etc.
Iris/retina Scanning: Detection of specific patterns of iris and retina.
Fingerprint Scanning: Scanning of fingertips and their patterns to differentiate between different individuals.
[Also Read:- Cask is King!]
DNA Scanning: Matching physical samples that belong to a particular individual such as hair, blood or saliva to differentiate between identities. In forensic investigations, the method of DNA matching is used widely.
Ear Acoustics: The shape and size of each individual are different. Based on this, the ear collects sound waves differently and route them in the ear canal. To detect those sound waves, microphones are used to capture those sound waves. These waves are used for the identification of individuals.
Behavioral measurements include;
Keystrokes Patterns: Keystroke patterns, speed of typing and hand movements are detected that differentiate individuals based on behavior.
Voice Recognition: Authentication of the speaker’s voice and sound waves based verification.
Biometric verification is now used with different modalities to combat online fraud. This technology is residing in the online world to detect suspicious activities. Even in several airports and investigation departments, this technology is used in public squares to trace criminal activities. In the year 2020, this technology, in combination with other innovative technologies will be used at an industrial level for security and improved user experience.Tags: Artificial Intelligence Service, IOT