Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK

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  • Patent
    Verfahren und Vorrichtung zur Erzeugung eines faelschungssicheren Stempelbildes
    ( 2003)
    Adam, W.
    ;
    Nickolay, B.
    ;
    Koeppen, M.
    ;
    Franke, K.
    Beschrieben wird ein Verfahren sowie eine Vorrichtung zum Erzeugen eines faelschungssicheren Stempelbildes mit einer ein Negativbild des Stempelbildes aufweisenden Stempelmatrize, die mit wenigstens einer Stempelfarbe benetzt wird und durch in Kontaktbringen mit einer Unterlage ein Stempelabdruck in Form des Stempelbildes auf der Unterlage erzeugt. Die Erfindung zeichnet sich dadurch aus, dass die das Negativbild des Stempelbildes aufweisende Stempelmatrize in wenigstens zwei Stempelbildbereiche aufgeteilt wird und dass die wenigstens zwei Stempelbildbereiche derart mit der Unterlage in Kontakt gebracht werden, dass sich die zu den Stempelbildbereichen korrespondierenden Stempelabdrucke durch wenigstens eine unterscheidbare Stempelabdruckqualitaet unterscheiden.
  • Publication
    Ink texture analysis for writer identification
    ( 2002)
    Franke, K.
    ;
    Bunnemeyer, O.
    ;
    Sy, T.
    This paper presents an approach for ink type recognition. Ink type classes will be derived from the physical properties of ink. Ink specific trace morphologies are considered as textures. From these discriminant texture features of the co-occurrence matrix will be derived. The proposed method for automated ink type recognition was tested using 62 different kinds of pens and refills. The achieved recognition result of 99.7% for 600 dpi and 98.4% for 300 dpi handwritings further promotes the study of trace morphologies in particular for application in forensic writer identification.
  • 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.
  • 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
    Soft-biometrics: Soft-computing for biometric-applications
    ( 2002)
    Franke, K.
    ;
    Ruiz del Solar, J.
    ;
    Köppen, M.
    A biometric system testifies the authenticity of a specific physiological or behavioral characteristic possessed by a user. New requirements for biometric systems such as robustness, higher recognition rates, tolerance for imprecision and uncertainty, and flexibility call for the use of new computing technologies. Soft- computing is increasingly being used in the development of biometric applications. Soft-biometrics corresponds to a new emerging paradigm that consists in the use of soft-computing technologies for the development of biometric applications. The aim of this paper is to motivate discussion on the application of soft-computing approaches to specific biometric measurements. The feasibility of soft-computing as a tool-set to biometric applications should be investigated. Finally, an application example on static signature verification is presented, providing evidence of the impact of soft-computing in biometrics.
  • Publication
    Biometrische Authentifikation
    ( 2001)
    Franke, K.
    ;
    Nickolay, B.
    ;
    Schneider, J.
  • Publication
    Pattern recognition and image analysis
    ( 2001)
    Köppen, M.
    ;
    Franke, K.
    ;
    Unold, O.
  • Publication
    Fuzzy morphologies revisited
    ( 1999)
    Köppen, M.
    ;
    Franke, K.