How does Biometric Face Verification Work?

In this еra of digitalization, organisations arе at risk of cybеrcrimеs. Crooks arе using various techniques to perform illicit actions such as data breaches, idеntity thеft, and financial tеrrorism. Biomеtric facе vеrification is thе only solution to fight against idеntity theft. In 2022, 57,877 fraud complaints wеrе rеportеd in thе Unitеd Statеs.

Scammеrs use another person’s idеntity to perform various illеgal actions such as unauthorisеd transactions and purchasеs. Thеy can only be identified with thе hеlp of biomеtric facе scannеrs to еradicatе thе chance of illicit activities at thе hands of fraudstеrs and financial tеrrorists.

How do Biometric Face Scanners Work?

A biometric face scanner is used to confirm an individual’s identity with the help of facial nodes.  Whenever a person has to be identified, an image is captured by the scanner and it is processed. It mainly involves the following four basic steps.

1. Face Detection
2. Analysis
3. Conversion of Image to Data
4. Finding a Match

1. Face Detection

First of all, an individual has to face the camera that detects and locates the image of a face. All the biometric features such as skin tone, the contour of the face, chin, and lips, the distance between eyebrows, the size of the nose bone, and facial hair are automatically captured. The machine learning models behind the face recognizer are very fast and can detect 50-80 facial nodes in nanoseconds.

2. Analysis

Already captured 2D or 3D image is analysed with the help of advanced artificial intelligence-based algorithms. Facial geometry is analysed which may include depth of eye socket, cheekbones shape, skin colour, and other biological features. In the case of selfie verification, a similar process is executed to have a depth analysis. It allows access to variations in the next steps.

3. Conversion 

All the features captured in the initial stages are required to be matched with the database in the next phase. An electronic database contains data digitally, so it is required to convert the analog data into digital form. Thus in this step, the facial patterns are converted into digital face prints.

4. Finding a Match  

Digital face prints are used to detect variation, these are matched with previously stored data. If there is any kind of variation, identity is considered as a variant. Thus a human is not identified and organisations would get an alert from a connected bell. However, if the data is matched with a database, the individual’s identity is verified as authentic.

In the case of online biometric face verification, the process is executed in the same way. Whether it is biometric face verification, face liveness verification or image use, every step capture, analysis, conversion, and database match is performed by automated ML and AI-based models. It is a very quick and accurate method of identity verification.

 Key Benefits of Biometric Face Verification Service

1. Secure Transactions

The popularity of biometric face verification technology has increased significantly, especially in making payments via digital wallet services and mobile devices. Face verification application during transactions minimises the risks of identity theft. For example, Today payments are made digitally with e-wallets or mobile devices, face verification minimises the risk of identity theft to make illicit transactions. One-Time Passwords (OTPs) are not reliable as they can be generated so many times, facial recognition is a strong layer to secure transactions. Nobody has similar face prints to others so face verification services mitigate the risk of fraud and identity theft.

2. Enhanced Login System

If an organisation holds a biometric face verification system, individuals just need to stand in front of the scanner and verify within seconds. It facilitates both the organisation and employees, such as the company would not need to hire multiple employees for verification and employees would not have to stand in queues for verification. It also authenticates the workers’ presence as nobody would be able to mark another’s presence on behalf of favour. It is both cost and time effective, additionally, it provides high security to organisations.

3. Secure Onboarding

While having customers onboard, organisations must comply with ’Know Your Customer’ regulations. It is required to verify the identity, suitability, and risk profile of a customer for business relationships. KYC face verification helps an organisation to enhance their security and to know the potential customers to be on board,

Key Takeaways

KYC face verification is an automated and strong line of defence against credential stuffing. The automated face verification eliminates the risk of human error and enhances the user experience. Biomеtric facе vеrification is thе only solution to protect an organisation from data brеachеs, idеntity thеft, and financial tеrrorism. Advanced AI and ML models are highly efficient in detection and AI mapping for robust verification. Moreover, it combats identity fraud and financial terrorism to make an organisation secure. Biometric face identification robust verification using AI-powered mapping techniques. It has enhanced protection against identity theft, financial terrorism, and illegal transactions.