Titlebook: Automatic Fingerprint Recognition Systems; Nalini Ratha,Ruud Bolle Book 2004 Springer Science+Business Media New York 2004 algorithms.biom

ANTE

Fingerprint Enhancement,t widely used technique to achieve such a goal. In this chapter, we describe (1) a spatial domain filtering enhancement algorithm and (2) a frequency decomposition enhancement algorithm. Both algorithms are able to adaptively improve the clarity of ridge and valley structures based on the local ridg

MANIA

Substance

Critical

空气

引起

DEFT

Fingerprint Preselection Using Eigenfeatures for a Large-Size Database,reprocessing for minutiae matching, the preselection reduces minutiae matching candidates. Eigenfeatures and confidence factors are extracted for the preselection from the fingerprints in the 10-print cards. The eigenfeatures are calculated by the KL (Karhunen-Loève) expansion of the ridge direction

被告

Cytology

Multifinger Penetration Rate and ROC Variability for Automatic Fingerprint Identification Systems,ecords, but little is known about these issues. In this paper, we report on experiments done with the best algorithms from six major AFIS vendors tested using a 4128 × 4080 database of electronically collected flat prints. We obtain Receiver Operating Characteristic curves for thumb through ring fin

使绝缘

Latent Fingerprint Analysis Using an AM-FM Model,n captures, in a very natural way, the global flow of fingerprint patterns. Discontinuities in this flow are easily detectable as potential fingerprint minutiae. We demonstrate application of an AM-FM-based system to actual latent fingerprints and make comparison to expert human analysis.