Isbn: 9780521115964 - multibiometrics for human identification (8 Ergebnisse)

Hardcover. Zustand: Very Good. Multibiometrics for Human Identification This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.…

Hardcover. Zustand: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Hardcover. Zustand: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Zustand: Very Good.

Zustand: New. In.

Zustand: 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. …

Hardcover. Zustand: Brand New. 1st edition. 408 pages. 9.00x6.00x1.00 inches. In Stock.

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.…