Automatic Fingerprint Recognition Systems

  • Nalini Ratha
  • Ruud Bolle

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Michael Yi-Sheng Yao, Sharath Pankanti, Norman Haas
    Pages 55-66
  3. Chitra Dorai, Nalini Ratha, Ruud Bolle
    Pages 67-86
  4. Lin Hong, Anil Jain
    Pages 127-143
  5. Weicheng Shen, M. A. Eshera
    Pages 145-181
  6. R. Cappelli, D. Maio
    Pages 183-205
  7. Andrew Senior, Ruud Bolle
    Pages 207-227
  8. Salil Prabhakar, Anil K. Jain
    Pages 229-248
  9. Craig Watson, David Casasent
    Pages 249-262
  10. Marios Pattichis, Alan Bovik
    Pages 317-338
  11. Lyn Haber, Ralph Norman Haber
    Pages 339-360
  12. R. Michael McCabe
    Pages 433-451
  13. Back Matter
    Pages 453-458

About this book



Contrary to perhaps common belief, even after several decades of research, automatic fingerprint recognition is not a solved problem. New fingerprint sensing technologies, algorithmic advances, and abundant computing power continue to drive advances in this area and to open up new realms of possibility.

Automatic Fingerprint Recognition Systems thoroughly surveys and examines advances in fingerprint sensing devices and in algorithms for fingerprint image analysis and matching. After an opening chapter on the history of fingerprint recognition, the book moves into new technologies for inkless sensors, fingerprint image analysis techniques, including fingerprint video analysis, filtering and classification and other areas aimed at fully automatic operation. The book also addresses large-scale fingerprint identification system design, as well as standards.

Topics and Features:

* Covers numerous areas related to modern automatic fingerprint recognition, not just its history or forensic analysis

* Examines advances in fingerprint sensing and fingerprint image filtering and preprocessing

 * Describes fingerprint feature abstraction, as well as compression and decompression of fingerprint images

* Develops ideas related to large-scale, large-database fingerprint matching

* Assesses new areas such as security in fingerprint matching and the upcoming common criterion protection profile


This authoritative survey provides a unique reference for automatic fingerprint recognition concepts, technologies, and systems. Its editors and contributors are leading researchers and applied R&D developers of this technology. Biometrics and pattern recognition researchers, security professionals, and systems developers will find the work an indispensable resource for current knowledge and technology.


algorithms biometrics classification cognition filter design fingerprint fingerprint matching fingerprint recognition fingerprint sensing image analysis image compression image filtering imaging techniques modeling pattern recognition

Editors and affiliations

  • Nalini Ratha
    • 1
  • Ruud Bolle
    • 1
  1. 1.IBM T.J. Watson Research CenterHawthorneUSA

Bibliographic information