Fingerprint Software Solutions
Fingerprint algorithm solution for identity authentication in smartphones and tablets.
Fingerprint algorithm solution for identity authentication in products with small sensors and limited platforms.
Our Fingerprint Algorithms
Precise Biometrics’ BioMatch™ fingerprint recognition software consists of advanced algorithms that are key to the user experience of fingerprint technology. Thanks to these solutions, users can conveniently and securely open a phone or authenticate themselves on an application by means of a quick touch. The algorithm solutions are based on close to 20 years of cutting edge research and have been implemented by hundreds of millions of users worldwide. Precise Biometrics software can be integrated with any sensor technology, operating system or platform, and provides the best user experience for products with small sensors and limited processing power and memory.
The rise in mobile payments increases the risk for fraud and identity theft. Unprotected fingerprint sensors are vulnerable to so called uncooperative spoofing via the use of fake fingers. It is relatively easy to copy a person’s fingerprint to create a fake finger. Precise Biometrics algorithm-based anti-spoof software can identify a fake fingerprint with high accuracy, by analyzing several fundamental image differences between a live fingerprint image, and one from a spoof. Our liveness detection solution is based on machine learning and can be integrated with any sensor on the market, weather it is in desktop or mobile environment.
How to evaluate a fingerprint algorithm – and achieve top performance
Patrik Lindeberg, COO at Precise Biometrics, speaker at the Global Smart Touch Industry Summit in Shenzhen, China, commenting on the event.
“We are very happy to have been given the opportunity to address participants at the event with this information. By doing so, we help Purchasers, Product Managers, R&D representatives and others, to better understand fingerprint authentication, so that they can make better decisions when choosing an algorithm for their device.”