Claus Vielhauer

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This paper presents a new approach to generate biometric hash values based on statistical features in online signature signals. Whilst the output of typical online signature verification systems are threshold-based true-false decisions, based on a comparison between test sample signals and sets of reference signals, our system responds to a signature input(More)
In the application domain of electronic commerce, biometric authentication can provide one possible solution for the key management problem. Besides server-based approaches, methods of deriving digital keys directly from biometric measures appear to be advantageous. In this paper, we analyze one of our recently published specific algorithms of this category(More)
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Automatically verifying the identity of a person by means of biometrics (e.g., face and fingerprint) is an important application in our day-to-day activities such as accessing banking services and security control in airports. To increase the system reliability, several biometric devices are often used. Such a combined system is known as a multimodal(More)
Testing of biometric systems requires the consideration of aspects beyond technical and statistical parameters. Especially for testing biometric techniques based on behavior, human factors like intention and forgery strength need to be considered. In this paper, a test tool to support skilled forgeries by test subjects is presented for handwriting(More)
In this paper a new method for on-line signature authentication will be presented, which is based on a event-string modelling of features derived from pen-position and pressure signals of digitizer tablets. A distance measure well known from textual pattern recognition, the Levenshtein Distance, is used for comparison of signatures and classification is(More)
In this paper we present a new algorithm for automatic recognition of hand drawn sketches based on the Levenshtein distance. The purpose for drawing sketches in our application is to create graphical user interfaces in a similar manner as the well established paper sketching. The new algorithm is trainable by every user and improves the recognition(More)
The FRT-MicroProf 200 CWL (Chromatic White Light) sensor, typically used for the measurement of surface properties for quality assurance purposes, is adapted and used for the contactless, non-invasive lifting of latent fingerprint traces. To the resulting high-resolution biometric data, invertible fragile image watermarking is applied, to assure(More)