New PDF release: Biometric System and Data Analysis: Design, Evaluation, and

By Ted Dunstone

Biometric method and knowledge research: layout, overview, and information Mining brings jointly features of information and laptop studying to supply a entire advisor to guage, interpret and comprehend biometric info. This specialist booklet evidently results in issues together with info mining and prediction, commonly utilized to different fields yet now not conscientiously to biometrics.

This quantity areas an emphasis at the quite a few functionality measures on hand for biometric structures, what they suggest, and once they should still and shouldn't be utilized. The evaluate ideas are awarded carefully, even though are constantly observed via intuitive factors that express the essence of the statistical techniques in a normal manner.

Designed for a qualified viewers composed of practitioners and researchers in undefined, Biometric procedure and knowledge research: layout, assessment, and information Mining can be appropriate as a reference for advanced-level scholars in computing device technological know-how and engineering.

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Extra info for Biometric System and Data Analysis: Design, Evaluation, and Data Mining

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4 The ROC curves for our hypothetical fingerprint system with confidence intervals. At a false match rate of 1%, the system’s verification rate is 93%. The lines at regular intervals are the 95% confidence intervals, demonstrating the level of significance of the verification results. At a false match rate of 1% the confidence interval is about ±2% in the verification rate. This graph is for the same match data used in Figs. 3. ” For lower values of the false match rate, there is likely to be much less data as this corresponds to one of the extreme ends of the impostor distribution.

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.

Quality: Obtaining a good quality sample should ideally be easy for the user. High quality samples are usually very important to ensure accurate matching results. • Integration: The biometric should be capable of being used in conjunction with other authentication mechanisms, such as smart-cards or passwords • Cost: The cost of the biometric system should be in proportion to the benefit. These benefits might include convenience, enhanced security, reduced cost for employing human operators or reduced cost from token loss.

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