Is it REAL or FAKE?

Precise BioLive™ fingerprint software

  • Benefits of a software-based solution

    Precise Biometrics’ anti-spoof software, Precise BioLive can be easily integrated with any fingerprint sensor on the market, whether it is in mobile or desktop environment. Moreover, it does not require additional hardware, which minimizes the cost and operational impact on sensor functionality. The software, based on machine learning technology (artificial intelligence), can be tailored for specific sensor technologies to maximize its accuracy in determining a real fingerprint from a fake one, regardless of spoofing material, process or tactic. The software is upgradable and therefore keeps pace with emerging spoof threats by continually developing spoofing counter measures.

  • Multiple implementation options

    Precise BioLive can be implemented to execute independently of fingerprint matching algorithms, easily integrated with user authentication applications running in Windows, Linux and Android environments. Precise BioLive has also been tightly integrated with the Precise BioMatch Mobile (BMM) solution as part of Precise’s broad offering of “liveness verification” modules within BMM. The integration of BioLive with BioMatch Mobile allows mobile device OEMs to meet emerging security standards in various ecosystems, including Android, FIDO and Windows Biometric Framework.

  • Effective fake fingerprint detection

    Our software for fingerprint spoof, liveness and presentation attack detection (PAD), Precise BioLive, can identify a fake fingerprint with high accuracy by analyzing several fundamental image differences between a live fingerprint image, and one from a spoof. The BioLive algorithms use image processing and statistical analysis of the image characteristics captured by the fingerprint sensor. It exploits differences between real fingers versus fake fingers via the imperfections in the image introduced by the spoof attack process.

  • Combining sensor agnosticism with tailor-made security

    The BioLive solution is sensor technology agnostic, but provides a security level tailored to work with a specific hardware configuration. Moreover, a dynamic spoof detection threshold makes it possible to configure the desired security level to meet application requirements, either emphasizing convenience (low False Rejection Rate, FRR) or security (low False Acceptance Rate, FAR).

  • World leading spoof & liveness detection technology

    Our fingerprint spoof and liveness detection software is based on over a decade of research by world leading scientists on biometric spoof mitigation and a close working relationships with Clarkson University, one of the leading authorities in biometric research, and the Center for Identity Technology Research (CITeR).

Fingerprint spoof mitigation & liveness detection

Fingerprint spoofing – a known & achievable process
Fingerprint recognition is more often being used in mobile and desktop solutions to provide convenient and secure identity authentication. But, today’s fingerprint sensors are vulnerable to spoofing via fake fingers. The risk for fraud and spoofing via fake fingerprints poses a threat to sensitive applications like mobile payments.

A determined and thoughtful person can effectively steal another individual’s fingerprint identity via so called uncooperative spoofing. Fingerprints are left on numerous surfaces and it is possible to readily acquire a latent fingerprint in under 60 seconds using a variety of known methods (e.g., lift tape, cyanoacrylate fuming, photography). Once latent prints are captured and digitized, fingerprint molds and fake fingerprints are readily produced using household materials such as gelatin, latex paint and modeling clay.

Uncooperative attack process

  1. Lift latent print via tape, photo, or fuming
  2. Digitize image and create mold via acetate, PCB etching, or 3D printed mold
  3. Create spoofs
  4. Execute spoof attack

Solutions for enhanced security
Precise Biometrics’ solutions and services for mitigating spoof-related risks, such as fake fingers, are designed to protect fingerprint sensors and lower the risk for fraud. Our spoof and liveness detection software further increases security of fingerprint authentication and our additional products and services improves the spoof detection capabilities of fingerprint technology. The following products and services are available:

Software for spoof and liveness detection
Our Spoof and liveness detection software, Precise BioLive™, identifies a fake fingerprint by analyzing several fundamental image differences between a live fingerprint image, and one from a spoof. The benefits of having a software-based solution are:

  • Sensor technology agnostic – can be integrated with any fingerprint sensor on the market, whether it is in desktop or mobile environment
  • Easy integration – no additional hardware is needed, which makes it cost effective
  • Upgradeable – keeps pace with emerging spoof threats

Our software solution is based on machine learning (AI), which makes it adaptable to any form of spoofing. The security level can be tailored to work with a specific hardware configuration.

Vulnerability analysis of fingerprint sensors 
Precise Biometrics offer Vulnerability analysis of fingerprint sensors, assessment of a given fingerprint sensor’s vulnerability to spoofing via spoof attacks, analysis and a subsequent comprehensive report.

Database Collection Services
Precise Biometrics also offer Database Collection Services, collection of live & spoof fingerprint images to create databases and to train algorithms to improve fingerprint matching or spoof and liveness detection.

Fingerprint Spoof Lab
Our Fingerprint Spoof Lab is a time-saving turnkey kit for building spoof resistance in fingerprint sensors. The kit contains guidelines and information about spoof creation, spoof specimens and lab supplies, as well as a user guide, for testing and evaluating sensor vulnerability.

Liveness detection protects mobile payments

Our unique software solution combines fingerprint matchning with liveness detection to provide enhanced security and great user experience of fingerprint technology. Watch video to learn how it protects mobile payments.