In this work a exemplary Java Card as widely deployed smart card environment in today business applications is used as implementation platform and a biometric hash algorithm for dynamic handwriting introduced in as biometric user authentication method. In this paper we present a system which besides matching, storing and decision of biometric templates also implements the feature extractor on a smart card to increase the security level and therefore minimize attack possibilities. , and ) these systems are called matching-on-card (MOC). Furthermore, smart cards are used to match reference data with the actual data of a claimed identity (e.g. If smart cards are correctly authenticated such as with cryptographic signatures, attacks to biometric databases are reduced like template replacement or cross-matching of biometric databases. In some biometric verification systems smart cards are used to store personal biometric data of a person instead of storing them in a database.
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