Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 0521115965 ISBN 13: 9780521115964
Anbieter: ThriftBooks-Atlanta, AUSTELL, GA, USA
Hardcover. Zustand: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 0521115965 ISBN 13: 9780521115964
Anbieter: Labyrinth Books, Princeton, NJ, USA
Zustand: Very Good.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 0521115965 ISBN 13: 9780521115964
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 164,68
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 0521115965 ISBN 13: 9780521115964
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 229,48
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. This book addresses research issues regarding multibiometrics for human identification, examining their advantages and evaluation. Editor(s): Bhanu, Bir; Govindaraju, Venu. Num Pages: 408 pages, 162 b/w illus. 40 tables. BIC Classification: UYQP; UYT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 228 x 157 x 29. Weight in Grams: 686. . 2011. Illustrated. hardcover. . . . . Books ship from the US and Ireland.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 235,23
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 408 pages. 9.00x6.00x1.00 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 0521115965 ISBN 13: 9780521115964
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - In today's security-conscious society, real-world applications for authentication or identification require a highly accurate system for recognizing individual humans. The required level of performance cannot be achieved through the use of a single biometric such as face, fingerprint, ear, iris, palm, gait or speech. Fusing multiple biometrics enables the indexing of large databases, more robust performance and enhanced coverage of populations. Multiple biometrics are also naturally more robust against attacks than single biometrics. This book addresses a broad spectrum of research issues on multibiometrics for human identification, ranging from sensing modes and modalities to fusion of biometric samples and combination of algorithms. It covers publicly available multibiometrics databases, theoretical and empirical studies on sensor fusion techniques in the context of biometrics authentication, identification and performance evaluation and prediction.