Automatic Fingerprint Recognition Systems [electronic resource] /

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.

Bibliographic Details

Main Authors:	Ratha, Nalini. editor., Bolle, Ruud. editor., SpringerLink (Online service)
Format:	Texto biblioteca
Language:	eng
Published:	New York, NY : Springer New York, 2004
Subjects:	Computer science., Computer graphics., Image processing., Pattern recognition., Computer Science., Pattern Recognition., Computer Graphics., Image Processing and Computer Vision.,
Online Access:	http://dx.doi.org/10.1007/b97425
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