Remote mobile biometric authentication system for unspecialised mobile devices (BioMobi)

  • Project name: Remote mobile biometric authentication system for unspecialised mobile devices (BioMobi)
  • Source of funding: National Centre for Research and Development
  • Project goal: The goal of the project is to design and construct a multimodal system of biometric authentication for use on commonly-accessible, unspecialised mobile devices, which meets all security standards and ensures that biometric data is protected. This will render it possible to greatly improve the quality and convenience of remote identification, helping to make it more widespread and increasing the level of cybersecurity.


The fundamental difference between this and other systems is its compatibility with commonly available mobile devices which are not equipped with specialised biometric sensors. Another difference is the adaptability of the solutions, which can use various biometric modalities depending on user needs and preferences. Remote authentication on mobile devices requires creating the necessary authentication architecture and defining how mobile units should function. The solutions to these problems remain incomplete. An important part of the project is thus to design the identification infrastructure in a way which maximises the security of the verification process while ensuring data security. The solutions will utilise proprietary or freely available methods, and will attempt to avoid methods owned by a single provider. Using multimodal methods and statistical analysis will render it possible to adapt the procedures to security requirements. The solution will also ensure biometric sample validity.


  • Development and implementation of a system of remote, mobile biometric authentication utilising unspecialised sensors
  • Development of biometric verification modules for use on unspecialised mobile devices along with dedicated sample viability assessment algorithms.
  • Development and implementation of an integrated authentication algorithm based on an adapted selection of biometric techniques.
  • Design and construction of secure data storage and comparison infrastructure, including with the use of biometric template protection techniques.


  • NASK – Project Leader
  • Łódź University of Technology
  • AGH University of Science and Technology