Image Pattern Recognition : Synthesis and Analysis in Biometrics / editors, Svetlana N. Yanushkevich [and others] ; consulting editor, Mark S. Nixon.

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Material type: Text

TextSeries: Series in machine perception and artificial intelligence ; v. 67.Publication details: Singapore : World Scientific, 2007.Description: 1 online resource (xxi, 430 pages) : illustrationsContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9812770674
9789812770677

Subject(s):

Genre/Form:

Additional physical formats: Print version:: Image pattern recognition.DDC classification:

006.4 22

LOC classification:

TK7882.P3 I43 2007eb

Online resources:

Click here to access online

Contents:

pt. 1. Synthesis in biometrics -- pt. 2. Analysis in biometrics -- pt. 3. Biobetric systems and applications.

Summary: 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 of hu.

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Electronic-Books	OPJGU Sonepat- Campus	E-Books EBSCO			Available

Includes bibliographical references and indexes.

pt. 1. Synthesis in biometrics -- pt. 2. Analysis in biometrics -- pt. 3. Biobetric systems and applications.

Print version record.

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 of hu.

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