Handbook of Fingerprint Recognition von Davide Maltoni | ISBN 9780387215877

Handbook of Fingerprint Recognition

von Davide Maltoni, Dario Maio, Anil K. Jain und Salil Prabhakar
Mitwirkende
Autor / AutorinDavide Maltoni
Autor / AutorinDario Maio
Autor / AutorinAnil K. Jain
Autor / AutorinSalil Prabhakar
Buchcover Handbook of Fingerprint Recognition | Davide Maltoni | EAN 9780387215877 | ISBN 0-387-21587-5 | ISBN 978-0-387-21587-7

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)

Handbook of Fingerprint Recognition

von Davide Maltoni, Dario Maio, Anil K. Jain und Salil Prabhakar
Mitwirkende
Autor / AutorinDavide Maltoni
Autor / AutorinDario Maio
Autor / AutorinAnil K. Jain
Autor / AutorinSalil Prabhakar
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.