Automatic Fingerprint Recognition Systems [Hardcover]

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.- The 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 a Large-Size Database.- Systems Engineering for Large-Scale Fingerprint Systems.- Multifinger 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.- Generation of Synthetic Fingerprint Image Databases.- Fingerprint Image Compression and the Wavelet Scalar Quantization Specification.- Security Considerations for the Implementation of Biometric Systems.- Fingerprint Interoperability Standards.

 

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 finlã'