By Andrzej Drygajlo (auth.), Claus Vielhauer, Jana Dittmann, Andrzej Drygajlo, Niels Christian Juul, Michael C. Fairhurst (eds.)
This publication constitutes the completely refereed court cases of the fee 2101 foreign Workshop, BIOID 2011, held in Brandenburg (Havel), Germany, in March 2011.
The 25 revised complete papers provided have been conscientiously reviewed and chosen from quite a few submissions and are accomplished via an advent on price. The papers are prepared in topical major sections on idea and platforms, handwriting authentication, speaker authentication, face reputation, multibiometric authentication, and on biometrics and forensics.
Read Online or Download Biometrics and ID Management: COST 2101 European Workshop, BioID 2011, Brandenburg (Havel), Germany, March 8-10, 2011. Proceedings PDF
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Additional info for Biometrics and ID Management: COST 2101 European Workshop, BioID 2011, Brandenburg (Havel), Germany, March 8-10, 2011. Proceedings
125–132 (2003) 5. : The strong secret key rate of discrete random triples. , et al. ) Communication and Cryptography – Two Sides of One Tapestry, pp. 271–285. Kluwer, Dordrecht (1994) 6. : Performance of the veriﬁcation for binary memoryless channels. In: Security and Communication Networks. at Abstract. Several multimodal biometric schemes have been suggested in literature which employ robust watermarking in order to embed biometric template data into biometric sample data. In case robust embedding is used as the sole means of security, tampering attacks can be mounted.
If the sensor embeds the same image-independent signature in all images (not recommended), this results in the third attack (“same signature”), if the watermark is changed in every transmission being an imagedependent hash, the attack would be the second one (“other signature”). Since in any biometric application scenario there is no unmarked original image available to detect the WM in the marked image, only blind WM techniques are applicable in this context. We consider a variety of robust watermarking 30 J.
Some features are not suitable for biohash generation because of very high intra-class variance. They cannot be reproduced for some users. Other features have very low inter-class variance and are always reproduced in impostor trials. Thus, feature selection is required to eliminate all irrelevant features and to allow reliable hash generation. According to the common terminology originally provided in  the feature selection approaches are divided to wrappers and filters. Wrappers select the feature subset based on a particular classifier performance.
Biometrics and ID Management: COST 2101 European Workshop, BioID 2011, Brandenburg (Havel), Germany, March 8-10, 2011. Proceedings by Andrzej Drygajlo (auth.), Claus Vielhauer, Jana Dittmann, Andrzej Drygajlo, Niels Christian Juul, Michael C. Fairhurst (eds.)