Get Biometric System and Data Analysis: Design, Evaluation, and PDF

By Ted Dunstone

ISBN-10: 0387776257

ISBN-13: 9780387776255

ISBN-10: 0387776273

ISBN-13: 9780387776279

Biometric process and information research: layout, overview, and information Mining brings jointly points of records and laptop studying to supply a accomplished consultant to guage, interpret and comprehend biometric information. This specialist e-book certainly results in issues together with info mining and prediction, broadly utilized to different fields yet now not carefully to biometrics.

This quantity locations an emphasis at the quite a few functionality measures on hand for biometric platforms, what they suggest, and once they may still and shouldn't be utilized. The overview innovations are provided carefully, besides the fact that are continuously followed by way of intuitive factors that exhibit the essence of the statistical techniques in a basic manner.

Designed for a certified viewers composed of practitioners and researchers in undefined, Biometric method and information research: layout, evaluate, and information Mining is usually compatible as a reference for advanced-level scholars in computing device technological know-how and engineering.

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Additional resources for Biometric System and Data Analysis: Design, Evaluation, and Data Mining

Example text

2 The Correct User When the user wishes to access the computer, he or she places their finger on a sensor, the fingerprint sample is captured, compared against the previously enrolled fingerprint template, finally resulting in a match score. This is known as a genuine match, because the comparison is between samples from the same user. The algorithm has assessed the similarly of the captured fingerprint to the one enrolled, which is then expressed by the match score. If the similarity score is sufficiently high, the user is allowed to proceed.

The boxes and lines show the variation of genuine false rejection rates at this false accept rate for a given algorithm. The points represent reject rate estimates that have been classified as outliers. The lower and narrower the boxes, and the less the outlier points, the better the system. 8 Privacy One recurring issue around the adoption of biometrics is its potential impact on privacy. Because biometrics are bound to biological or behavioral aspects of personal identity, their use can appear to remove an element of personal control tradition- 22 1 An Introduction to Biometric Data Analysis ally associated with other security technologies.

0 Zoo Plot Use To investigate which users, or user groups, are causing more system errors. 546 Average imposter score Description Displays how different users perform based on their average match score and their average non-match score. A good system will have few outliers. 5 Use To compare verification systems or different test sets. 01 Description Provides a method for comparing systems at a particular false accept rate. The boxes and lines show the variation of genuine false rejection rates at this false accept rate for a given algorithm.

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


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