Handbook of Fingerprint Recognition
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Beschreibung
Overview Biometric recognition refers to the use of distinctive physiological and behavioral character- tics (e. g. , fingerprints, face, hang geometry, iris, gait, signature), called biometric identifiers or simply biometrics, for automatically recognizing a person. Questions such as “Is this person authorized to enter the facility?”, “Is this individual entitled to access the privileged infor- tion?”, and “Did this person previously apply for a job?” are routinely asked in a variety of organizations in both public and private sectors. Because biometric identifiers cannot be easily misplaced, forged, or shared, they are considered more reliable for person recognition than traditional token- (e. g. , keys) or knowledge- (e. g. , password) based methods. Biometric recognition can provide better security, higher efficiency, and increased user convenience. It is for these reasons that biometric systems are being either increasingly deployed or evaluated in a large number of government (e. g. , welfare disbursement, national ID card, issuing of driver’s license) and civilian (e. g. , computer network logon, automatic teller machine, cellular phone, Web access, smartcard) applications. A number of biometric technologies have been developed and several of them are being used in a variety of applications. Among these, fingerprints, face, iris, speech, and hand - ometry are the ones that are most commonly used. Each biometric has its strengths and we- nesses and the choice of a particular biometric typically depends on the requirements of an application.
A major new professional reference work on fingerprint security systems and technology from leading international researchers in the field. Handbook provides authoritative and comprehensive coverage of all major topics, concepts, and methods for fingerprint security systems. This unique reference work is an absolutely essential resource for all biometric security professionals, researchers, and systems administrators.
Autor*in
Davide Maltoni
Themen in »Handbook of Fingerprint Recognition«
algorithms biometrics classification fingerprint fingerprint matching fingerprint recognition fingerprint sensing
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From the reviews:
"...a useful reference for all biometric security professionals and researchers. The four coauthors have a distinguished combination of academic and professional experience....Overall, readers will be pleased with the style and substance of this book." -Computing Reviews
"This is a comprehensive reviews of its topic … . The thoroughness of the treatment of biometric methods is not obvious from the title. This feature will make the book particularly valuable in some robotics contexts. … The intended audience includes researchers, practicing engineers, and students … . The book is suggested as a reference book for a graduate course on biometrics. The material is clearly presented … . This will certainly be a standard reference work in its field." (Alex M. Andrew, Robotica, Vol. 22, 2004)
"The book is the first reference on automatic fingerprint recognition and provides an in-depth survey of the fingerprint state-of-the-art, presenting the most recent advances in fingerprints … . is ideally suited to researchers and students in biometrics, pattern recognition, forensics, image processing, and computer vision. In addition, it will be essential to developers of biometric solutions, biometric users … as well as to project managers and system integrators and administrators involved in the analysis, design, and management of finger-print-based biometric systems." (Computer Spectrum, Issue 4, 2003)
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