Handbook of Fingerprint Recognition

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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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.

• algorithms
• biometrics
• classification
• fingerprint
• fingerprint matching
• fingerprint recognition
• fingerprint sensing

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)

• 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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