Guide to BiometricsStarting 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
Introduction | 3 |
A Biometrics Individuality | 14 |
Authentication and Biometrics | 17 |
Additional Biometrics | 51 |
8 | 57 |
Identification System Errors | 87 |
Performance Testing | 105 |
1 | 129 |
Integrating Information | 193 |
Thwarting Attacks | 211 |
APIs Standards and Databases | 229 |
System Errors Revisited | 269 |
Advanced Topics | 293 |
Whats next? | 325 |
335 | |
339 | |
Other editions - View all
Guide to Biometrics Ruud M. Bolle,Jonathan H. Connell,Sharath Pankanti,Nalini K. Ratha,Andrew W. Senior No preview available - 2010 |
Common terms and phrases
access control accuracy algorithms attack authentication protocol B₁ B₂ biometric authentication system biometric data biometric database biometric identifiers biometric matcher biometric samples biometric search biometric system biometric template bootstrap candidate list Chapter computed confidence interval cost decision defined determined different biometrics distribution enrolled subjects enrollment policy error rates estimate exception handling face images face recognition False Accept Rate False Match False Negative False Positive False Reject Rate finger FNMR forgery FRVT function Hamming distance hand geometry Hence identification system identity individual input integrity iris iriscode match engine match scores measure metric minutiae mismatch scores NIST operating point password percent performance person population Prob problem rank-based replay attacks ROC curve scenario evaluations search engine Section sensor shown in Figure smartcard speaker recognition specific statistics subsets bootstrap Table threshold vector