| Biometric Systems: Technology, Design and Performance Evaluation |  | Creators: James L. Wayman, Anil K. Jain, Davide Maltoni, Dario Maio
Publisher: Springer
Category: Book
List Price: $109.00
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Seller: nettextstore
Rating:  3 reviews
Media: Hardcover
Edition: 1
Pages: 370
Number Of Items: 1
Shipping Weight (lbs): 1.5
Dimensions (in): 9.4 x 6.1 x 0.9
ISBN: 1852335963
Dewey Decimal Number: 006.4
EAN: 9781852335960
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Product Description
This book provides practitioners with an overview of the principles & methods needed to build reliable biometric systems. It covers 3 main topics: key biometric technologies, testing & management issues, & the legal and system considerations of biometric systems for personal verification/identification. It focuses on the 4 most widely used technologies - speech, fingerprint, iris & face recognition. It includes: + In-depth coverage of the technical and practical obstacles which are often neglected by application developers & system integrators & which result in shortfalls between expected and actual performance; + Detailed guidelines on biometric system evaluation; + Protocols & benchmarks which will allow developers to compare performance & track system improvements. Biometric Systems - Technology, Design and Performance Evaluation is intended as a reference book for anyone involved in the design, management or implementation of biometric systems.
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| Customer Reviews:
 A Clear Winner from Biometrics Pioneers ! January 16, 2005
Daniel Gill (Northeast)
2 out of 2 found this review helpful
Biometric Authentication has become a first-class, full-fledged, field of study with its own diverse composite of foundational technologies at its core. As is the case with any "highly-interdisciplinary" field, the challenge for textbook authors is to present a body of work which provides an adequate scope of material while at the same time providing adequate detail for that body of knowledge.. Wayman and company with this current work have met that challenge admirably.
This book provides a wealth of pertinent information, results, and lessons learned along the way in the research, development and deployment of biometric systems worldwide. The contributors include researchers and practitioners who have been involved in the field since the very beginning. All of the popular person recognition modalities are examined including fingerprint, face, speaker, and iris, as well as large scale system design and integration issues. Also covered are evaluation, testing, and the all important societal privacy issues from both the US and European perspective. The text comprehensively and coherently addresses the material at a surprisingly accessible level; the majority of the material can be readily understood without an advanced background in higher mathematics or computer science.
I highly recommend this book for beginning and intermediate level biometrics professionals requiring comprehensive knowledge of this relatively new field. It also provides a wonderful jumping-off point for further study and exploration.
 Good overview,coverage and easy to understand March 25, 2005
Sayali
3 out of 3 found this review helpful
This book provides a good coverage of the technology,
methods, and the core ideas of four leading biometric
systems. The various real-world applications for these
systems, the performance, current state of art are also
described in details. It also discusses the benchmarks
for comparing the performance and for system
improvements.
This book is easy to understand for readers who are
completely new to world of biometrics. It provides
user an overview of each system, their practical
drawbacks, providing the reader an idea of what
technology to choose for a particular type of
application and enough information where he can
relatively make a choice of which technology to invest
in taking into consideration the time of deployment,
cost etc.
face recognition needs more work February 15, 2007
W Boudville (Terra, Sol 3)
This is primarily an algorithms book, though perhaps the authors might resist such a characterisation. By this I mean that there are detailed descriptions of how various biometric systems do pattern matching. These vary from iris recognition systems to fingerprint matching systems and face recognition methods.
The iris and fingerprint methods seem well established. Certainly, fingerprint matching is now a mature discipline. Where automated methods not only speed up searching of millions of fingerprints, but they also remove a lot of subjectivity.
Face recognition is still a work in progress. Much harder. The idea of a "face space" arises - the set of all possible images of faces. Where these might be three dimensional. Though much effort is expended on two dimensional images, since these are what the vast majority of cameras produce.
Considerable space is devoted to testing the above methods. Important in order to assess efficacy of new methods and to measure any progress in these fields.
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