The challenge of a fully automatic fingerprint-recognition system continues to motivate many researchers to address fingerprints and related problems. In addition to fingerprint analysis in law enforcement, civilian applications are now being planned because of unique benefits that fingerprint technology offers. Automatic Fingerprint Recognition Systems assesses the challenges for achieving fully automatic operation. In addition, it examines advances in the various aspects of fingerprint recognition: newer models of individuality analysis, new technologies for inkless sensors, empirical evaluation of fingerprint recognition performance, synthetic generation of fingerprint images, fingerprint videos, and new large-scale systems for fingerprint identification. The book offers a history of fingerprint research and also confronts its future — in particular, how research in the allied fields of computer vision, image processing, pattern recognition, and empirical performance evaluation will advance the science and technology of fingerprint identification.

This book 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, Automatic Fingerprint Recognition Systems 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 such important areas as security in fingerprint matching and the 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.

History of fingerprint pattern recognition.- Advances in fingerprint sensors using RF imaging techniques.- Fingerprint quality assessment.- Dynamic behavior in fingerprint videos.- Computer enhancement and modeling of fingerprint images.- Image filter design for fingerprint enhancement.- Fingerprint enhancement.- Feature extraction in fingerprint images.- State of the art in fingerprint classification.- Fingerprint classification by decision fusion.- Fingerprint matching.- Fingerprint matching using distortion-tolerant filters.- Fingerprint preselection using Eigenfeatures for large-size database.- Systems engineering for large-scale fingerprint systems.- Multi-finger penetration rate and ROC variability for automatic fingerprint identification systems.- Latent fingerprint analysis using an AM/FM model.- Error rates for human latent fingerprint examiners.- Synthetic fingerprint generator.- Fingerprint image compression.- Security considerations for the implementation of biometric systems.- Fingerprint interoperability standards.- Index.