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  • Format: ePub

This book introduces a pioneering approach to inverse biometric problems, demonstrating that biometrics can be perceived from the synthetic point of view, where information is modeled and generated rather than acquired and processed. It presents a brief overview of the main techniques and explores various methods of quantifying, adjusting, and correcting biometric data using both commercially available tools and new algorithmic approaches. With detailed explanations, illustrations, case studies, and implementation codes for particular inverse problems, Biometric Inverse Problems delivers…mehr

Produktbeschreibung
This book introduces a pioneering approach to inverse biometric problems, demonstrating that biometrics can be perceived from the synthetic point of view, where information is modeled and generated rather than acquired and processed. It presents a brief overview of the main techniques and explores various methods of quantifying, adjusting, and correcting biometric data using both commercially available tools and new algorithmic approaches. With detailed explanations, illustrations, case studies, and implementation codes for particular inverse problems, Biometric Inverse Problems delivers professional engineering experience and will undoubtedly stimulate further advances and innovations.

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
Svetlana N. Yanushkevich, Adrian Stoica, Vlad P. Shmerko, Denis V. Popel, Elizabeth Lynn