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Handbook of Fingerprint Recognition

  • Book
  • © 2003

Overview

Authors:
  1. Davide Maltoni

    1. Biometric Systems Laboratory, University of Bologna, Cesena, Italy

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  2. Dario Maio

    1. DEIS-CSITE, University of Bologna, Bologna, Italy

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  3. Anil K. Jain

    1. Department of Computer Science and Engineering, Michigan State University, East Lansing, USA

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  4. Salil Prabhakar

    1. Digital Persona. Inc., Redwood City, USA

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Part of the book series: Springer Professional Computing (SPC)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xii
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  2. Introduction

    Pages 1-52

  3. Fingerprint Sensing

    Pages 53-82

  4. Fingerprint Analysis and Representation

    Pages 83-130

  5. Fingerprint Matching

    Pages 131-171

  6. Fingerprint Classification and Indexing

    Pages 173-202

  7. Synthetic Fingerprint Generation

    Pages 203-231

  8. Multimodal Biometric Systems

    Pages 233-255

  9. Fingerprint Individuality

    Pages 257-280

  10. Securing Fingerprint Systems

    Pages 281-309

  11. Back Matter

    Pages 311-348
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Keywords

About this book

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.

Reviews

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)

Authors and Affiliations

  • Biometric Systems Laboratory, University of Bologna, Cesena, Italy

    Davide Maltoni

  • DEIS-CSITE, University of Bologna, Bologna, Italy

    Dario Maio

  • Department of Computer Science and Engineering, Michigan State University, East Lansing, USA

    Anil K. Jain

  • Digital Persona. Inc., Redwood City, USA

    Salil Prabhakar

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