Face verification software works on a specific deep-learning algorithm. This algorithm helps identify a person’s facial features and characteristics and compares them with the face print stored in a database.
Face verification software can identify an individual’s face using a still image taken at a distance or close. Also, it can identify a person using video frames. Its effectiveness depends on the accuracy and quality of the solution.
The Best Face Verification Software: What to Look for
A good Face Verification System is created and designed for the integration of facial identification and authentication into consumer and enterprise applications for PCs and mobile devices. It should have a simple API that helps implement solutions such as e-services, payment, and onboarding.
The system should integrate seamlessly with all other applications that require enhanced security via facial identification, authentication, and presentation attack detection. It should be inclusive of all functionalities available on the server component. The solution should have the possibility to perform identification and authentication both offline and online.
What’s more? A good system features different liveness detection functionalities. These functionalities help implement an anti-spoofing mechanism with the possibility to configure the balance between usability and security of the system.
Key Features and Capabilities
A comprehensive Face Verification System needs to have these key features and capabilities:
- Registration and authentication: It should register an individual and later authenticate the person. The system should also detect hats and glasses, estimate age, and perform ISO checks.
- Web service: The web service feature allows for straightforward on-premise installation using a mobile application or a lightweight browser.
- Presentation attack detection: By checking if a live individual is looking into the digital camera, a set of special algorithms prevents fraud.
- Security and privacy: Biometric templates and facial data can be kept and used on the end-user server, device, or both. That is why both security and privacy are required.
- Mobile device SDK: A good system needs to have an SDK component with a compact library to create native, stand-alone applications for hand-held devices.
Face Verification Software Applications
An all-inclusive Face Verification Software is intended for creating end-user web and mobile applications that seamlessly perform identity verification on personal devices such as tablets, mobiles, and PCs in different systems like:
- Government e-services
- Payments
- Online banking
- Digital onboarding
- Social networks
- Media sharing services
- Digital onboarding
Facial Recognition is here now. Many organizations have already started using a comprehensive online face verification solution for security, business, and marketing purposes. For successful Face Recognition System deployment, organizations need to test each solution with a meaningful and comprehensive database.
