Tobias Scheidat

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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)
In this article, methods for user recognition by online handwriting are experimentally analyzed using a combination of demographic data of users in relation to their handwriting habits. Online handwriting as a biometric method is characterized by having high variations of characteristics that influences the reliance and security of this method. These(More)
In this paper a novel fusion approach for combining voice and online signature verification will be introduced. While the matching algorithm for the speaker identification modality is based on a single Gaussian Mixture Model (GMM) algorithm, the signature verification strategy is based on four different distance measurement functions, combined by(More)
In this paper a new approach for combining biometric authentication and digital watermarking is presented. A digital audio watermark method is used to embed metadata into the reference data of biometric speaker recognition. Metadata in our context may consist of feature template representations complementary to the speech modality, such as iris codes or(More)
The fusion of biometric systems, algorithms and/or traits is a well known solution to improve authentication performance of biometric systems. In this article the fusion of two instances of the same semantic is suggested, where semantics are alternative handwritten contents such as numbers or sentences, in addition to commonly used signature. In order to(More)
Today the application of multimodal biometric systems is a common way to overcome the problems, which come with unimodal systems, such as noisy data, attacks, overlapping of similarities, and nonuniversality of biometric characteristics. In order to fuse multiple identification sources simultaneously, fusion strategies can be applied on different levels.(More)
In this paper an approach for combining online signature authentication experts will be proposed. The different experts are based on one feature extraction method presented in our earlier work, the Biometric Hash algorithm [1], to which different distance measurement functions are applied. We will show that by the fusion of several algorithms with an(More)