Adrian Baddeley; Pablo Gregori; Jorge Mateu Mahiques; Radu Stoica; Dietrich Stoyan Springer-Verlag New York Inc. (2005) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Stephen S. Yau (ed.); Osvaldo Gervasi (ed.); Byeong-Ho Kang (ed.); Adrian Stoica (ed.); Dominik Ślęzak (ed.) Springer (2010) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Tai-hoon Kim; Hojjat Adeli; Wai-chi Fang; Thanos Vasilakos; Adrian Stoica; Charalampos Z. Patrikakis; Gansen Zhao; Villal Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2011) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Taylor & Francis Inc Sivumäärä: 416 sivua Asu: Kovakantinen kirja Painos: 1 Julkaisuvuosi: 2005, 05.05.2005 (lisätietoa) Kieli: Englanti
Traditional methods of biometric analysis are unable to overcome the limitations of existing approaches, mainly due to the lack of standards for input data, privacy concerns involving use and storage of actual biometric data, and unacceptable accuracy. Exploring solutions to inverse problems in biometrics transcends such limits and allows rich analysis of biometric information and systems for improved performance and testing. Although some particular inverse problems appear in the literature, until now there has been no comprehensive reference for these problems.
Biometric Inverse Problems provides the first comprehensive treatment of biometric data synthesis and modeling. This groundbreaking reference comprises eight self-contained chapters that cover the principles of biometric inverse problems; basics of data structure design; new automatic synthetic signature, fingerprint, and iris design; synthetic faces and DNA; and new tools for biometrics based on Voronoi diagrams. Based on the authors' vast experience in the field, the book authoritatively examines new approaches and methodologies in both direct and inverse biometrics, providing invaluable analytical and benchmarking tools. The authors include case studies, examples, and implementation codes for practical illustration of the methods.
Loaded with approximately 200 figures, 60 problems, 50 MATLAB® code fragments, and 200 examples, Biometric Inverse Problems sets the standard for innovation and authority in biometric data synthesis, modeling, and analysis.