NCJ Number
311154
Date Published
November 2009
Abstract
In this paper, we present a new fingerprint matching algorithm based on a local skeleton descriptor. This descriptor uses ridge count information to encode minutiae locations in a small neighborhood. Taking advantage of ridge count properties, our descriptor is robust to distortions. We developed an efficient algorithm to match our descriptor and a strategy to combine matchings of many local descriptors. Our algorithm obtains interesting results on both tenprint-to-tenprint and latent-to-tenprint matchings.
(Publisher abstract provided.)
Date Published: November 1, 2009
Downloads
Similar Publications
- Frontal sinus morphology as a forensic identification method: a comparison of intra-observer scores between scout radiographs and 3D skull images
- Factors Affecting Species Identifications of Blow Fly Pupae Based upon Chemical Profiles and Multivariate Statistics
- EVALUATING THE SUCCESS OF A KINETIC MODEL TO PREDICT CHROMATOGRAMS OF IGNITABLE LIQUIDS UNDER DIFFERENT EVAPORATION MODES AND IN THE PRESENCE OF PASSIVE-HEADSPACE EXTRACTION