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Products
- SAS - Singalarity Authentication Server & Token Management Server
- TAE - Troubleshooting Analytic Engine
- FSOC - Forensic Security Operations Center
- ST Engineering Data Diode - Secured Data Transfer Gateway
- Rnext - Business Management Platform
- Rnext - QRPay Intra-Gateway
- Rnext - Fintech Solution Platform
- WaaS x BlueShield - Mobile application protection platform
- Services
- Industries
- News & Analysis
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- About us
Accuracy of biometric systems
Biometric Authentication (sometimes known as Biometrics) is a breakthrough of cutting-edge technology based on the measurement and statistical analysis of people's unique physical and behavioral characteristics.
Biometric Authentication Service that can tell you how similar or dissimilar the current biometric data are to the record stored in the database.
The primary advantage of biometric authentication methods over other methods of user authentication is that it authenticates the person itself.
Authentication of one’s identity is commonly based on 3 specific factors (According to NIST SP 800-53 Rev. 4)
- What you know (knowledge factor): something you know: a username or a password
- What you have (possession factor): something you have: a card or a document
- Who you are (inherence factor): something you are: your fingerprint, your face or your voice
Biometric Authentication falls under the 3rd factor (Who you are)
The use of Biometric Authentication Service for reliable access control with security purposes can be broadly divided into 2 main categories:
Physical Biometrics
Based on physical characteristics
Fingerprint Scanners: identify and authenticate an individual through fingerprints.
Face Authentication: based on 2D or 3D images of faces to authenticate.
Fingerprint Scanners: a authentication technology measure vocal characteristics to distinguish between individuals.
Eye Scanners: included retina recognition and iris recognition
- Iris Recognition: identifies the unique patterns of a person’s iris - the colorful area of the eye surrounding the pupil.
- Retina Recognition: use the pattern of vessels behind the retina in choroid to identify humans.
Vein Patterns Recognition: are not directly visible and a special scanner is required to get the biometric data.
DNA Matching: the process of determining an individual's DNA characteristics through DNA barcoding or DNA patterns.
Hand Geometry: based on the geometric shape of the hand - size of the palm, length and width of the fingers, distance between the knuckles, etc
Behavioral Biometrics
Analyzes the way you interact with a computerized system
Keystrokes: process of measuring and assessing a typing rhythm on digital devices (e.g computer keyboards, mobile phones, touch screen panels,..).
Handwriting: process of identifying the author of a given text based on something that the user has learned to do.
Signature: process of measuring and analyzing the physical activity of signing (e.g stroke order, the speed of the pen while signing,.).
Security And Usability
Why use biometric authentication instead of passwords and tokens?
The main reasons for using biometric authentication are:
- The risk of identity theft is significantly lower compared with other authentication technologies, since it uses human biometric traits.
- No need to remember any information while authenticating to use a system.
- Biometric authentication modalities cannot be easily guessed by the hackers.
- It is not possible to share the biometric information with any other person.
With increasing complexity and availability of myriad technology, biometric systems are poised to make our lives more convenient, in unexpected ways. Reliable user authentication is an essential requirement for access control for security purposes from easy-to-hard levels and can be used either on their own or in various combinations.
Currently, Singalarity R&D team implementing a suite of biometric recognition solutions that can be used either on their own or in various combinations based on 2 popular forms of biometric authentication methods: Face Authentication & Voice Authentication.
Face Authentication
- Know your customer: Determine with certainty the user logging in
- Identity data duplicate prevention: Avoid re-enrolling existing identities
- Biometric-based device: Added as a 2FA login
- Physical & Biometric access systems: Easy to integrate across all devices
Features
Strengthen the security of mobile and web authentication
Prevents fraudsters from knowing liveness detection is occuring
Ease remote customer onboarding and improve identity proofing processes
Reduce fraudulent accounts and account takeovers
Voice Authentication
Use cases:
- Call Center Authentication.
- Fraud Detection & Anti-Spoofing for Authentication.
- Physical Authentication System.
- Text independent Voice Authentication: using any spoken passphrase or other speech content.
- Text-dependent Voice Authentication: using the same passphrases are used in enrollment and for verification.
Features
Widely accessible for authentication on any devices
Contactless, cost-effective & Friendly Interface
Strengthen security and minimize false acceptance and rejection rates
Anti-fraud detection in a short time
Ready To Explore Further?
Face Authentication & Liveness Detection
Face authentication leverages a person's unique identity to prevent identity theft and is used as a means of authentication to measure, analyze and match physical characteristics. Facial liveness is considered one of the best ways to detect fraud and prevent identity theft.
Our solution is a completely passive facial detection solution that is compatible with any biometric system to perform an accuracy check for user identity verification.
Voice Authentication & Anti-spoofing Detection
Speech conversion and replay attacks create certain signal artifacts that are sometimes indistinguishable by a human ear. These Singalarity algorithms find and identify such artifacts to accurately determine liveness.
To detect and prevent spoofing attacks, our R&D team has deployed many in-depth techniques and methods, incorporating scores of unique features to ensure that a fraudster cannot spoof the system. We continually update voiceprints by speech specific element analysis. This completely eliminates the need for PINs, passwords or common security questions for spoofing detection.
Face authentication leverages a person's unique identity to prevent identity theft and is used as a means of authentication to measure, analyze and match physical characteristics. Facial liveness is considered one of the best ways to detect fraud and prevent identity theft.
Our solution is a completely passive facial detection solution that is compatible with any biometric system to perform an accuracy check for user identity verification.
Speech conversion and replay attacks create certain signal artifacts that are sometimes indistinguishable by a human ear. These Singalarity algorithms find and identify such artifacts to accurately determine liveness.
To detect and prevent spoofing attacks, our R&D team has deployed many in-depth techniques and methods, incorporating scores of unique features to ensure that a fraudster cannot spoof the system. We continually update voiceprints by speech specific element analysis. This completely eliminates the need for PINs, passwords or common security questions for spoofing detection.