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

By Ted Dunstone

Biometric procedure and knowledge research: layout, overview, and knowledge Mining brings jointly points of information and laptop studying to supply a complete advisor to guage, interpret and comprehend biometric info. This expert publication clearly ends up in issues together with facts mining and prediction, broadly utilized to different fields yet no longer carefully to biometrics.

This quantity areas 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 suggestions are awarded carefully, despite the fact that are regularly followed through intuitive causes that express the essence of the statistical innovations in a common manner.

Designed for a certified viewers composed of practitioners and researchers in undefined, Biometric procedure and information research: layout, evaluate, and information Mining is additionally appropriate as a reference for advanced-level scholars in machine technology and engineering.

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Sample text

Trust can only be placed in an authentication result in relation to the level of security that has been achieved during the enrollment process. 4 The Match Threshold The method of deciding whether to a accept the log-in as legitimate or to reject it as an impostor depends on how high or low the match score is. This decision is made by comparing the score to a fixed value known as a match threshold. e. a genuine match) and the score is above the threshold, the user will be accepted. However, if the match score is under the threshold, the legitimate user will be falsely rejected and may be asked to resubmit the biometric.

The score histogram shows the frequency of scores for both genuine and impostor matches over the full range of possible scores. In other words, it represents the probability distribution of the scores. Ideally, the majority of the genuine distribution and the impostor distribution are well separated, with the genuine distribution being comprised of higher scores (see Fig. 2). It is important to understand the meaning of histograms as interpreting biometric evaluation results requires an appreciation of the difference between the genuine and impostor distributions.

Techniques can be implemented to manage this but care must be taken to ensure customers do not feel disenfranchised, and that the overall level of security is not diminished. Consequently, it is important to undertake a proper risk assessment, incorporating a detailed understanding of the risk, threats and opportunities provided by biometrics, and follow up with regular biometric audits. 4 Desirable Biometric Attributes There is a huge diversity of biometrics types, and each biometric has its own particular strengths, depending on the application.

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