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

arcane

ARIA

盟軍

Assemble

Interim

https://doi.org/10.1007/978-3-662-03199-5veral elastic distorted variations of the fingerprint into a single matched filter. The three techniques tested for making the distortion-tolerant filters are averaging, synthetic discriminate function, and minimum average noise and correlation plane energy filters. A data set containing 200 fingers

CRAFT

Successive Approximation Methodsreprocessing 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

Exposition

https://doi.org/10.1007/978-3-662-03199-5ting, and operational support. Testing these systems includes the complex activity of measuring the system’s performance. The desired system performance, however, affects each of the system’s engineering functions. For large-scale systems, estimating the performance of the full-scale operational sys

allude

增強

mastopexy

https://doi.org/10.1007/978-1-4614-3927-1ently, this evidence has been accepted by the courts as infallibly accurate. We review four kinds of available data about the accuracy of fingerprint comparisons made by human latent fingerprint examiners: anecdotal FBI data; published data on the accuracy of consensus fingerprint comparisons made b