Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK

Filters
Reset filters

Settings
Now showing 1 - 3 of 3
  • Publication
    Soft-biometrics: Soft-computing technologies for biometric-applications
    ( 2002)
    Franke, K.
    ;
    Ruiz del Solar, J.
    Biometrics, the computer-based validation of people's identities, is becoming more and more essential due to the increasing demand for high- security systems. A biometric system testifies to the authenticity of a specific physiological or behavioral characteristic possessed by a user. New requirements for actual biometric systems, such as robustness, higher recognition rates, tolerance against imprecision and uncertainty, and flexibility, call for the use of new computing technologies. In this context, soft computing is increasingly being used in the development of biometric applications. Soft-biometrics correspond to a new emerging paradigm that consists of the use of soft-computing technologies for the development of biometric applications. The aim of this paper is to motivate discussions on the application of soft-computing approaches in specific biometric measurements. The feasibility of soft computing as a tool-set for biometric applications should be investigated.
  • Publication
    Static signature verification employing a Kosko-neuro-fuzzy approach
    ( 2002)
    Franke, K.
    ;
    Yu, N.Z.
    ;
    Koppen, M.
    To overcome difficulties in transferring "classical" handwriting examination methods into computer algorithms, a hybrid neuronal system, proposed by B. Kosko (1997), was employed to derive rules for signature region matching. The segmentation of signatures, written on paper documents, into regions is presented and two-stage fuzzy rule learning for finding and tuning the fuzzy rules is discussed. By using Kosko's neuro-fuzzy approach, a region-matching performance of 98% was achieved.