Download Biometrics : personal identification in networked society by Anil Jain, Ruud Bolle, Sharath Pankanti PDF

By Anil Jain, Ruud Bolle, Sharath Pankanti

ISBN-10: 0306470446

ISBN-13: 9780306470448

Biometrics: own identity in Networked Society is a entire and obtainable resource of state of the art details on all latest and rising biometrics: the technology of immediately determining contributors according to their physiological or habit features. particularly, the e-book covers:

*General rules and ideas of designing biometric-based platforms and their underlying tradeoffs

*Identification of significant concerns within the overview of biometrics-based systems

*Integration of biometric cues, and the combination of biometrics with different present applied sciences

*Assessment of the functions and boundaries of other biometrics

*The finished exam of biometric equipment in advertisement use and in study improvement

*Exploration of a few of the varied privateness and protection implications of biometrics.

Also integrated are chapters on face and eye id, speaker popularity, networking, and different well timed technology-related concerns. All chapters are written through major the world over well-known specialists from academia and undefined.

Biometrics: own identity in Networked Society is a useful paintings for scientists, engineers, program builders, structures integrators, and others operating in biometrics.

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Extra resources for Biometrics : personal identification in networked society

Example text

C. Lee and R . E . , Advances in Fingerprint Technology, CRC Press, London, 1994. This page intentionally left blank. 2 FINGERPRINT VERIFICATION Lawrence O’Gorman Veridicom Inc. Chatham, NJ log@ver id ico m. com Abstract The use of fingerprints ,for identification has been employed in law enjorcement f o r about a century. A much broader application of fingerprints is for personal authentication, for instance to access a computer, a network. a bank-machine, a car. or a home. The topic of this chapter is fingerprint verification, where “verification" implies a user matching a ,fingerprint againsr a single fingerprint associated with rhe identity that the user claims.

A systematic method of quantifying distinctiveness of a specific signal associated with an identity and its representation is needed for effective identification systems. , in a smart card application, typically, about 2K bytes of storage is available. In such situations, the representation also needs to be parsimonious. The issues of most salient features of an information source also need to be investigated. Representation issues cannot be completely resolved independent of a specific biometric domain and involve complex trade-offs.

There may be other features of the fingerprint that are used in matching. For instance, pores can be resolved by some fingerprint sensors and there is a body of work (mainly research at this time) to use the position of the pores for matching in the same manner that the minutiae are used. Size of the fingerprint, and average ridge and valley widths can be used for matching, however these are changeable over time. 2 Fingerprint patterns: arch, loop, and whorl. Fingerprint landmarks are also shown: core and delta.

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