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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. ca/ncf

Date Created: September 15, 2005