A team of Michigan State University computer scientists led by Indian Institute of Technology (IIT) Kanpur alum Anil Jain have built the first three-dimensional model of a human fingerprint.
What Jain, a University Distinguished Professor of computer science and engineering, and his team did was develop a method that takes a two-dimensional image of a fingerprint and maps it to a 3-D finger surface.
The 3-D finger surface, complete with all the ridges and valleys that make up the human fingerprint, is made using a 3-D printer. It creates what Jain's team called a fingerprint "phantom."
"In health care, a 3-D heart or kidney can be created," Jain said. "Because the dimensions are known, they can be put into a scanner and the imaging system can be calibrated."
While the 3-D model doesn't yet have the exact texture or feel of a real finger, it could advance fingerprint sensing and matching technology.
"Tools like this would help improve the overall accuracy of fingerprint-matching systems, which eventually leads to better security in applications ranging from law enforcement to mobile phone unlock," Jain said.
Members of Jain's team include Sunpreet Arora, a computer science doctoral student, Kai Cao, a research associate in computer science and engineering and research collaborator Nick Paulter at the National Institute of Standards and Technology
Jain, who has a B.Tech degree from IIT Kanpur and MS and PhD degrees from Ohio State University, has six US patents on fingerprint matching and has written a number of books on biometrics and fingerprint/facial recognition.
Additionally, Jain has also received a number of prestigious awards for contributions to pattern recognition and biometrics.
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