A unified framework combining nonparametric 3D unwrapping, point-cloud fusion, ellipse-based pose normalization, and pose-aware registration to enable ridge-level compatibility between 3D and both contactless and contact-based 2D fingerprints.
Detection and rectification of distorted fingerprints
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2verdicts
UNVERDICTED 2representative citing papers
FLARE introduces a fixed-length 3D dense fingerprint descriptor integrated with pose-based alignment and ridge enhancement for robust cross-modality matching.
citing papers explorer
-
Cross-Modal Registration Between 3D and 2D Fingerprints via Pose-Aware Unwrapping and Point-Cloud Fusion
A unified framework combining nonparametric 3D unwrapping, point-cloud fusion, ellipse-based pose normalization, and pose-aware registration to enable ridge-level compatibility between 3D and both contactless and contact-based 2D fingerprints.
-
Fixed-Length Dense Fingerprint Representation with Alignment and Robust Enhancement
FLARE introduces a fixed-length 3D dense fingerprint descriptor integrated with pose-based alignment and ridge enhancement for robust cross-modality matching.