Download Biometrics: Personal Identification in Networked Society by A.K. Jain, Ruud M. Bolle, Sharath Pankanti PDF

By A.K. Jain, Ruud M. Bolle, Sharath Pankanti

Biometrics: own id in Networked Society is a entire and obtainable resource of cutting-edge details on all present and rising biometrics: the technology of immediately picking participants in keeping with their physiological or habit features. particularly, the publication covers: *General rules and ideas of designing biometric-based platforms and their underlying tradeoffs *Identification of vital matters within the evaluate of biometrics-based platforms *Integration of biometric cues, and the mixing of biometrics with different latest applied sciences *Assessment of the features and barriers of alternative biometrics *The finished exam of biometric tools in advertisement use and in study improvement *Exploration of a few of the varied privateness and protection implications of biometrics. additionally integrated are chapters on face and eye identity, speaker acceptance, networking, and different well timed technology-related matters. All chapters are written through top across the world famous specialists from academia and undefined. Biometrics: own identity in Networked Society is a useful paintings for scientists, engineers, program builders, platforms integrators, and others operating in biometrics.

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Extra resources for Biometrics: Personal Identification in Networked Society

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Representation issues cannot be completely resolved independent of a specific biometric domain and involve complex trade-offs. Take, for instance, the fingerprint domain. Representations based on the entire gray scale profile of a fingerprint image are prevalent among the verification systems using optical matching [57, 58]. However, the utility of the systems using such representation schemes may be limited due to factors like brightness variations, image quality variations, scars, and large global distortions present in the fingerprint image because these systems are essentially resorting to template matching strategies for verification.

Template matching can be visualized as graph matching, that is comparing the shapes of graphs joining fingerprint minutiae. 3(f). Note that the word, “similar” is used in the paragraph above instead of “same”. Neighborhoods will rarely match exactly because of two factors. One is the noisy nature of a fingerprint image.

26 Multiple Personalities: All the people in this image are the same person (The New York Times Magazine, September 1, 1996/section 6, pages 48-49, reproduced with permission of Robert Trachtenberg). Proscription: This issue is somewhat related to the previous issue. When a biometric measurement is offered to a given system, the information contained in it should not be used for any other purpose than its intended use. In any (networked) information processing system, it is difficult to ensure that the biometric measurements captured will only be used for its intended purpose.

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