Download Biometric System and Data Analysis: Design, Evaluation, and by Ted Dunstone PDF

By Ted Dunstone

Biometric process and knowledge research: layout, overview, and knowledge Mining brings jointly features of facts and computing device studying to supply a entire consultant to guage, interpret and comprehend biometric information. This specialist ebook clearly ends up in themes together with information mining and prediction, greatly utilized to different fields yet no longer carefully to biometrics.

This quantity areas an emphasis at the a variety of functionality measures on hand for biometric platforms, what they suggest, and after they should still and shouldn't be utilized. The evaluate recommendations are provided carefully, notwithstanding are consistently observed via intuitive reasons that show the essence of the statistical ideas in a common manner.

Designed for a qualified viewers composed of practitioners and researchers in undefined, Biometric method and knowledge research: layout, review, and information Mining can be compatible as a reference for advanced-level scholars in machine technology and engineering.

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Biometric method and information research: layout, evaluate, and knowledge Mining brings jointly facets of data and desktop studying to supply a finished advisor to judge, interpret and comprehend biometric facts. This expert ebook evidently ends up in issues together with facts mining and prediction, largely utilized to different fields yet now not carefully to biometrics.

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3. 2 Ground Truth The ground truth is as follows: the first four images of Tab. e. e. card user is not the correct person). 3 Enrollment images stored on the card and capture images acquired from the door. Sample match scores are given between 1=bad match and 5=good match. Images used with permission from J. Phillips [2]. 3. 4 shows the number of matches that have been assigned as genuine and impostor for each score. One can see that, as expected, low scores are more likely to be impostors, and high scores more likely to be genuine.

The stability of a biometric over time is a major factor in its usability. If a biometric exhibits large changes over time, it is likely to have higher matching errors. With the exception of a fake prosthetic device, it takes major surgery to alter most biometrics in order to pass as someone else. An indirect consequence is that once a particular biometric has been compromised it is extremely difficult to replace with another. By comparison, changing a password is simple, if sometimes tedious, and good security actually insists on the continual rotation of passwords.

It is particularly important in any large biometric system that the full identity life-cycle is supported. 4 Desirable Biometric Attributes 11 does not have good identity controls around the initial, or subsequent, enrollment of individuals. Where anyone can self-enroll a biometric with no check or audit, system circumvention is easy, regardless of the strength of the biometric control. This is because there is no way to ensure the correct identity is bound to the enrolled biometric. The binding of an identity to a biometric is achieved by authenticating the supporting documentation, such as birth certificates or passports.

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