Guide to Biometrics (Springer Professional Computing) （2004. XXIX, 364 p. w. 131 figs. 24 cm）

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Guide to Biometrics (Springer Professional Computing) （2004. XXIX, 364 p. w. 131 figs. 24 cm）

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  • 製本 Hardcover:ハードカバー版／ページ数 364 p., 131 illus.
  • 商品コード 9780387400891

基本説明

Contents: Authentication and biometrics.- The common biometrics.- Other biometrics.- Basic system errors.- Measuring system errors.- Creating biometric databases.- Tuning and training.- APIs, standards, and databases.- and more.

Full Description

Starting with fingerprints more than a hundred years ago, there has been ongoing research in biometrics. Within the last forty years face and speaker recognition have emerged as research topics. However, as recently as a decade ago, biometrics itself did not exist as an independent field. Each of the biometric-related topics grew out of different disciplines. For example, the study of fingerprints came from forensics and pattern recognition, speaker recognition evolved from signal processing, the beginnings of face recognition were in computer vision, and privacy concerns arose from the public policy arena. One of the challenges of any new field is to state what the core ideas are that define the field in order to provide a research agenda for the field and identify key research problems. Biometrics has been grappling with this challenge since the late 1990s. With the matu­ ration of biometrics, the separate biometrics areas are coalescing into the new discipline of biometrics. The establishment of biometrics as a recognized field of inquiry allows the research community to identify problems that are common to biometrics in general. It is this identification of common problems that will define biometrics as a field and allow for broad advancement.

Contents

I Basics of Biometrics.- 1 Introduction.- 2 Authentication and Biometrics.- 3 The Common Biometrics.- 4 Additional Biometrics.- II Performance and Selection.- 5 Basic System Errors.- 6 Identification System Errors.- 7 Performance Testing.- 8 Selecting a Biometric.- III System Issues.- 9 Creating and Maintaining Databases.- 10 Large-Scale Applications.- 11 Integrating Information.- 12 Thwarting Attacks.- 13 APIs, Standards, and Databases.- IV Mathematical Analyses.- 14 A Biometric's Individuality.- 15 System Errors Revisited.- 16 Advanced Topics.- 17 What's next?.- References.