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Support Vector Machines for Dynamic Biometric Handwriting Classification.

, , , and . AIAI Workshops, volume 475 of CEUR Workshop Proceedings, page 118-125. CEUR-WS.org, (2009)

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Feature Selection by User Specific Feature Mask on a Biometric Hash Algorithm for Dynamic Handwriting., , , and . Communications and Multimedia Security, volume 7025 of Lecture Notes in Computer Science, page 85-93. Springer, (2011)Multi-biometric Fusion for Driver Authentication on the Example of Speech and Face., , , , and . COST 2101/2102 Conference, volume 5707 of Lecture Notes in Computer Science, page 220-227. Springer, (2009)Biosecure reference systems for on-line signature verification: A study of complementarity., , , , , , , , , and 5 other author(s). Annales des Télécommunications, 62 (1-2): 36-61 (2007)Optimierung biometrischer Hash-Algorithmen für die dynamische Handschrift.. Otto von Guericke University Magdeburg, (2015)Support Vector Machines for Dynamic Biometric Handwriting Classification., , , and . AIAI Workshops, volume 475 of CEUR Workshop Proceedings, page 118-125. CEUR-WS.org, (2009)Analyse biometrischer Handschriftverifikation im Kontext von Metadaten., , and . Sicherheit, volume P-77 of LNI, page 54-65. GI, (2006)Biometric authentication based on 2D/3D sensing of forensic handwriting traces., , and . IET Biom., 6 (4): 316-324 (2017)Benchmarking quality-dependent and cost-sensitive score-level multimodal biometric fusion algorithms., , , , , , , , , and 6 other author(s). IEEE Trans. Information Forensics and Security, 4 (4): 849-866 (2009)Single-Semantic Multi-Instance Fusion of Handwriting Based Biometric Authentication Systems., , and . ICIP (2), page 393-396. IEEE, (2007)First investigation of feasibility of contact-less non-destructive optical sensors to detect, acquire and digitally process forensic handwriting based on pressure information., , and . IWBF, page 1-6. IEEE, (2016)