Supercharging biometric data collection

Dr. Lou Glassy, Bacon Tree’s technology adviser, is helping make the impossible possible by using machine learning to supercharge the ingestion of biometric data. The RISER project converts fingerprint cards into digital images and makes them available for automated biometric matching against databases.

Identifying fingerprints on card probably sounds easier than it is. Dr. Glassy writes, " ... fingerprints already on a fingerprint card can be almost impossible to use — because the print is smeared or incomplete, because the prints are not aligned on the card, because the paper they’re printed on looks more like used toilet paper than cardstock, or even because the prints are not in the right boxes. Even if the print is perfect, getting paper fingerprint cards into a readable, searchable electronic format is an issue – especially at scale."

RISER has not only made that possible, it has so increased the U.S. Government's ability to search for and find criminals and terrorists that it won "Best Technical Advancement" at this year’s FedID awards.

You can read details about this project on Novetta Solutions blog.