By Ted Dunstone
Biometric approach and knowledge research: layout, review, and information Mining brings jointly facets of records and computer studying to supply a complete consultant to guage, interpret and comprehend biometric information. This expert ebook certainly results in issues together with facts mining and prediction, largely utilized to different fields yet no longer conscientiously to biometrics.
This quantity locations an emphasis at the a number of functionality measures to be had for biometric platforms, what they suggest, and once they may still and shouldn't be utilized. The review innovations are offered carefully, even though are constantly observed by way of intuitive causes that exhibit the essence of the statistical ideas in a normal manner.
Designed for a certified viewers composed of practitioners and researchers in undefined, Biometric procedure and information research: layout, overview, and knowledge Mining is usually appropriate as a reference for advanced-level scholars in computing device technological know-how and engineering.
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This ebook constitutes the refereed complaints of the overseas convention on Mass facts research of pictures and signs in drugs, Biotechnology, Chemistry and foodstuff undefined, MDA 2008, held in Leipzig, Germany, on July 14, 2008. The 18 complete papers provided have been conscientiously reviewed and chosen for inclusion within the ebook.
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Additional resources for Biometric System and Data Analysis: Design, Evaluation, and Data Mining
3 Biometric Identification: Example 3 The final example considers a scenario of issuing access cards. Users will get their first card free, but must pay for subsequent cards. Three people, all of whom claim to have not had an access card issued previously, arrive to collect their free card. Before issuing them with a card, the face recognition system is used to see if they have already been issued a card (this is analogous to making sure there are not duplicate identities in a passport or driver’s license system).
Another good reason for using a token is that advances in algorithms may discover new ways of extracting distinctive features from the original biometric sample. Using a token can allow seamless upgrading of algorithms. 3 Template Data The piece of biometric data common to all biometric systems is a template. A template is the refined, processed and stored representation of the distinguishing characteristics of a particular individual. The template is the data that gets stored during an enrollment and which later will be used for matching.
In fact, most graphs actually represent different ways of looking at the same underlying algorithm performance. On the histogram, a threshold can be picked (a point on the x-axis) and the number of impostor scores above this value is counted (these are the false matches). The proportion of these compared to the overall number of impostor matches gives the false match rate at that threshold. For the genuine scores, the proportion of scores that fall below the threshold gives the false nonmatch rate.