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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 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)
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)
In this paper, we present the main results of the BioSecure Signature Evaluation Campaign (ESRA '2011). The objective of ESRA '2011 is to evaluate through two diffe rent tasks the resistance of dffJerent online signature systems to skilled forgeries categorized automatically according to their quality. Task 1 aims at studying with only coordinate(More)