Download e-book for kindle: Biometric System and Data Analysis: Design, Evaluation, and by Ted Dunstone

February 14, 2018 | Data Mining | By admin | 0 Comments

By Ted Dunstone

ISBN-10: 0387776257

ISBN-13: 9780387776255

Biometric platforms are getting used in additional areas and on a bigger scale than ever ahead of. As those structures mature, it is crucial to make sure the practitioners answerable for improvement and deployment, have a powerful figuring out of the basics of tuning biometric systems.  the focal point of biometric examine over the last 4 many years has commonly been at the base line: riding down system-wide errors premiums. In doing so, strong attractiveness algorithms were constructed for a couple of biometric modalities. those algorithms function tremendously good below try out conditions.

Books on biometrics are likely to specialize in biometric platforms and their parts, and differentiate among many of the biometric modalities. Biometric  method and information research: layout, review, and knowledge Mining brings jointly elements of records and computer studying to supply a finished consultant to comparing, examining and realizing biometric facts. This expert ebook evidently results in issues together with info mining and prediction, that have been commonly utilized to different fields yet no longer conscientiously to biometrics, to be tested in detail.

Biometric  procedure and information research: layout, review, and information Mining locations an emphasis at the quite a few functionality measures to be had for biometric structures, what they suggest, and once they may still and shouldn't be utilized. The evaluate options are provided conscientiously, even if are continually followed by means of intuitive motives that may be used to show the essence of the statistical recommendations to a common viewers. This final aspect is a crucial one for the elevated popularity of biometrics between non-technical selection makers, and finally the overall public.

Biometric  method and information research: layout, assessment, and information Mining is designed for a qualified viewers composed of practitioners and researchers in undefined. This booklet can also be compatible 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

Sample text

Vulnerability: It should be difficult to create a fake prosthetic biometric (known as spoofing), or to steal and use a detached one. In some places that are highly supervised and controlled, vulnerabilities can be mitigated through policies and human monitoring. • Privacy: Ideally the permission of the owner of a biometric should need to be sought before acquisition. The data should be stored encrypted. • Maintenance: Sensor wear and tear, or residue build-up on the sensor surface, should be minimized.

Person: The top level entity is the ‘Person’, from which all other data is derived. Each person may have associated with them biographic data that does not change, such as sex, date of birth and ethnicity. A person entity can be associated with zero or more match records and zero or more templates. For example, they may have templates from several different characteristics or templates acquired at different times. • Template: Each person may have one or more biometric templates. 1 Associated with each template can be a variety of data including a quality measure, the date of capture and information specific to the biometric or environment such as the ambient lighting or if a person is wearing glasses.

6 Biometric System Overview 17 The first fundamental stage is data capture, which is the capture of the raw biometric information from a real person, which is translated into a digital sample. For many biometrics this involves a transformation from analogue to digital. Common forms of data capture equipment include digital cameras (for face recognition), optical and capacitance fingerprint scanners (fingerprint), and microphones (speaker verification). Each transformation from the original signal into the digital representation involves the potential addition of noise.

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


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