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HandShot ID: A Fast 3-D Imaging System for Capturing Fingerprints, Palm Prints and Hand Geometry

Award Information

Award #
Funding Category
Congressional District
Funding First Awarded
Total funding (to date)

Description of original award (Fiscal Year 2004, $773,341)

Carnegie Mellon University seeks to develop their proposed Hand Shot system which will construct a visual 3-dimensional model of both hands, including palms, fingerprints, fingertips and sides of the fingers. The associated algorithms (1) stitch images from multiple cameras together, forming a complete 3-D model of both hands using active models to normalize for pose; (2) extract ridge detail based on contrast assessment under varying illumination effects, and (3) translate 3-D images to standardized formats. Hand Shot will be less error-prone, have high throughput and be an information-rich image acquisition system.


This project will scientifically explore photographic contactless capture of fingerprints, palm prints, and hand geometry in order to achieve accurate capture at high resolution in 5 seconds. This effort will process and improve photographic capture sufficient to construct photograph-to-ink prints that match rolled ink prints of the same subjects in Automated Fingerprint Identification Systems (AFIS), allowing the development of an automated fingerprint imaging systems compatible with NIST standards and interoperable with the FBI's IAFIS system for use by local and other law enforcement agencies.


Date Created: September 15, 2005