What Makes a Successful Biometric Tool?
Welcome to our first post on “The importance of optimizing all parts of a biometric system”. In this post, Peter Kollig, Senior Director of Engineering, System Architecture at IDEX Biometrics talks about what makes a successful biometric tool.
Creating a functional biometric sensor that can be deployed in a variety of ways is no easy feat. There are considerations that need to be taken into account at every stage. If you focus too hard on price, you will sacrifice quality. If you need a small size, the costs increases. If you’re looking for a flexible, versatile sensor, deployment options become limited. The essential requirements in today’s systems include:
- Remote enrolment, including SW on SE, enrolment sleeves and development tools
- Embedded matcher with best-in-class balance between sensor size, available computing power and memory available in a smartcard
- The ability to cater to constraints imposed by payment scheme security requirements (biometric templates in SE, match-on-SE)
How do we make it happen?
In order to deliver a system with the required functionality, it is essential to understand the limitations of an embedded matcher. Leading providers such as IDEX Biometrics deal with these constraints by utilizing a proprietary embedded matcher and by designing the matcher and sensor together to ensure a close-coupled relationship. With IDEX’s innovations, there’s no need to sacrifice quality, price, or flexibility. You really can have it all.
Reducing sacrifices
Reducing sacrifices to get the best technology is key in today’s world. It is with that goal in mind that the latest line of biometric sensors have been developed. Not wanting customers to have to choose between price and functionality, IDEX has delivered a highly customizable and versatile sensor that has a variety of uses, delivered at a competitive price point. The combination of form, function, and affordability has made this technology stand out.
How do we verify biometric performance?
Verifying the results of biometric sensor usage and security can be difficult, and measuring the results of usage is a key focus for developers. Reducing the latency between matcher and sensor is of crucial importance in tying all of these elements together into data that makes sense to the customer. Key biometric performance data capture and measures include:
- FAR (false acceptance rate), FRR (false rejection rate), latency
- FP (false positives) collections
- Matcher and sensor data
Biometric tools have opened up new options for security and streamlined transactions. With these goals in mind, IDEX is moving its biometric sensors into the future and continuing to develop the technology as customer needs evolve.
