Indian-American scientist Anil Jain on 6 March 2014 developed the first
3D model of a human fingerprint called Phantom. The development could
boost the accuracy of fingerprint-matching systems and improve security
technology.
The team of computer scientists led by Arun Jain at Michigan State University developed the 3D image by first making a two-dimensional image of a fingerprint and then mapping it to a 3D finger surface. The 3D finger surface complete with all the ridges and valleys that make up the human fingerprint.
Although the 3-D model does not yet have the exact texture or feel of a
real finger. However, it could advance fingerprint sensing and matching
technology.
The ultimate goal is to have a precise fingerprint model with known properties and features that can be used to calibrate existing technology used to match fingerprints. 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.
The team of computer scientists led by Arun Jain at Michigan State University developed the 3D image by first making a two-dimensional image of a fingerprint and then mapping it to a 3D finger surface. The 3D finger surface complete with all the ridges and valleys that make up the human fingerprint.
The ultimate goal is to have a precise fingerprint model with known properties and features that can be used to calibrate existing technology used to match fingerprints. 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.
No comments:
Post a Comment