Biometric Inverse Problems

Svetlana N. Yanushkevich; Adrian Stoica; Vlad P. Shmerko; Denis V. Popel

Biometric Inverse Problems

dc.contributor.author	Svetlana N. Yanushkevich	en
dc.contributor.author	Adrian Stoica	en
dc.contributor.author	Vlad P. Shmerko	en
dc.contributor.author	Denis V. Popel	en
dc.date.accessioned	2007-09-18T16:23:54Z
dc.date.available	2007-09-18T16:23:54Z
dc.date.issued	2005-05-05
dc.description	Review: http://www.iapr.org/members/newsletter/Newsletter06-04/index_files/Page746.htm	en
dc.description.abstract	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.	en
dc.description.refereed	Yes	en
dc.identifier.doi	http://dx.doi.org/10.11575/PRISM/35021
dc.identifier.isbn	0849328993
dc.identifier.uri	http://hdl.handle.net/1880/45018
dc.language.iso	eng	en
dc.publisher	Taylor & Francis/CRC Press	en
dc.publisher.corporate	University of Calgary	en
dc.publisher.faculty	Engineering	en
dc.publisher.url	www.taylorandfrancisgroup.com	en
dc.subject	iris primitives	en
dc.subject	biometric data	en
dc.subject.other	Signature synthesis	en
dc.subject.other	fingerprint synthesis	en
dc.title	Biometric Inverse Problems	en
dc.type	book	en
thesis.degree.discipline	Electrical	en