03054nam 2200697 a 450 991045095490332120200520144314.01-281-12095-29786611120955981-277-067-4(CKB)1000000000334202(EBL)312355(OCoLC)476099895(SSID)ssj0000176488(PQKBManifestationID)11153804(PQKBTitleCode)TC0000176488(PQKBWorkID)10206898(PQKB)11620848(MiAaPQ)EBC312355(WSP)00006195(Au-PeEL)EBL312355(CaPaEBR)ebr10188714(CaONFJC)MIL112095(EXLCZ)99100000000033420220080814d2007 uy 0engurcn|||||||||txtccrImage pattern recognition[electronic resource] synthesis and analysis in biometrics /editors, Svetlana N. Yanushkevich ... [et al.] ; consulting editor, Mark S. NixonSingapore World Scientific20071 online resource (453 p.)Series in machine perception and artificial intelligence ;v. 67Description based upon print version of record.981-256-908-1 Includes bibliographical references and indexes.pt. 1. Synthesis in biometrics -- pt. 2. Analysis in biometrics -- pt. 3. Biobetric systems and applications.The field of biometrics utilizes computer models of the physical and behavioral characteristics of human beings with a view to reliable personal identification. The human characteristics of interest include visual images, speech, and indeed anything which might help to uniquely identify the individual. The other side of the biometrics coin is biometric synthesis - rendering biometric phenomena from their corresponding computer models. For example, we could generate a synthetic face from its corresponding computer model. Such a model could include muscular dynamics to model the full gamut ofSeries in machine perception and artificial intelligence ;v. 67.Pattern recognition systemsCongressesPattern recognition systemsMathematical modelsCongressesBiometric identificationCongressesIdentificationAutomationCongressesArtificial intelligenceCongressesElectronic books.Pattern recognition systemsPattern recognition systemsMathematical modelsBiometric identificationIdentificationAutomationArtificial intelligence006.4Yanushkevich Svetlana N891665Nixon Mark S891666MiAaPQMiAaPQMiAaPQBOOK9910450954903321Image pattern recognition1991486UNINA