cam a22 7 4500 316999180 CHVBK 20201009192928.0 m d cr |n |||||||| 140620t20132013enka sb 001 0 eng d 2013942399 978-1-4471-5229-3 (alk. paper) 1-4471-5229-8 (alk. paper) 978-1-4471-5230-9 (eBook) 1-4471-5230-1 (eBook) 10.1007/978-1-4471-5230-9 doi (SERSOL)ssj0000960682 (IDSSG)000629272 (WaSeSS)ssj0000960682 BTCTA eng BTCTA YDXCP IXA OCLCO OCLCQ CDX N5L DLC WaSeSS rda QA76.9.A25 S378 2013 QH323.5 COM016000 bisacsh 005.8 23 570.15195 23 CH0018C2175204D50BEF2C1257F07006B2295 iCapture Security and privacy in biometrics Patrizio Campisi, editor London New York Springer [2013] ©2013 1 online resource (x, 438 pages) illustrations Includes bibliographical references and index. Lizenzbedingungen können den Zugang einschränken. License restrictions may limit access. Biometrics-based recognition systems offer many benefits over traditional authentication approaches. However, such systems raise new challenges related to personal data protection. This important text/reference presents the latest secure and privacy-compliant techniques in automatic human recognition. Featuring viewpoints from an international selection of experts in the field, the comprehensive coverage spans both theory and practical implementations, taking into consideration all ethical and legal issues. Topics and features: Presents a unique focus on novel approaches and new architectures for unimodal and multimodal template protection Examines signal processing techniques in the encrypted domain, security and privacy leakage assessment, and aspects of standardization Describes real-world applications, from face and fingerprint-based user recognition, to biometrics-based electronic documents, and biometric systems employing smart cards Reviews the ethical implications of the ubiquity of biometrics in everyday life, and its impact on human dignity Provides guidance on best practices for the processing of biometric data within a legal framework This timely and authoritative volume is essential reading for all practitioners and researchers involved in biometrics-based automatic human recognition. Graduate students of computer science and electrical engineering will also find the text to be an invaluable practical reference. Dr. Patrizio Campisi is a Full Professor in the Department of Engineering, Section of Applied Electronics at the University of Roma Tre, Rome, Italy. Data protection Biometric identification Security measures Data encryption (Computer science) Computer science Biometrics Social sciences Data processing Computers Law and legislation Campisi Patrizio 1968- editor https://link.springer.com/10.1007/978-1-4471-5230-9 Uni Basel: Volltext BK020053 XK020053 XK020000 Springer Computer Science eBooks 2013 English/International E-Books von 360MarcUpdates noalma ids I IDSSG HSG HSG ONL HONL000629272 IDSBB A145 A145 145VT IDSBB 700 1- Campisi Patrizio 1968- editor IDSBB 856 40 https://link.springer.com/10.1007/978-1-4471-5230-9 Uni Basel: Volltext IDSSG 700 1- Campisi Patrizio IDSSG 856 4- https://doi.org/10.1007/978-1-4471-5230-9 Full text for the University of St. Gallen SWISSBIB 316999180