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. This development will not
only help today's fingerprint-matching technology do its job better, but could
eventually lead to improvements in security, according to information posted on
MSU website. 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." Imaging
phantoms are common in the world of medical imaging.
For example, to make sure an MRI machine or a CT scanner is
working properly, it needs to first image an object of known dimensions and
material properties. "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." In this
case, 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. "When I have this 3-D fingerprint phantom, I know
its precise measurements," said Jain. "And because I know the true
dimensions of the fingerprint features on this phantom, I can better evaluate
fingerprint readers." 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. This story has not been edited by Firstpost
staff and is generated by auto-feed.
an-American scientist creates world’s first 3D fingerprint
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Read more at: http://www.firstpost.com/fwire/indian-american-scientist-creates-worlds-first-3d-fingerprint-1423019.html?utm_source=ref_article
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.
This development will not only help today's fingerprint-matching
technology do its job better, but could eventually lead to improvements
in security, according to information posted on MSU website.
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."
Imaging phantoms are common in the world of medical imaging. For
example, to make sure an MRI machine or a CT scanner is working
properly, it needs to first image an object of known dimensions and
material properties.
"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."
In this case, 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.
"When I have this 3-D fingerprint phantom, I know its precise
measurements," said Jain. "And because I know the true dimensions of the
fingerprint features on this phantom, I can better evaluate fingerprint
readers."
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.
This story has not been edited by Firstpost staff and is generated by
auto-feed.
Read more at: http://www.firstpost.com/fwire/indian-american-scientist-creates-worlds-first-3d-fingerprint-1423019.html?utm_source=ref_article
Read more at: http://www.firstpost.com/fwire/indian-american-scientist-creates-worlds-first-3d-fingerprint-1423019.html?utm_source=ref_article
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.
This development will not only help today's fingerprint-matching
technology do its job better, but could eventually lead to improvements
in security, according to information posted on MSU website.
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."
Imaging phantoms are common in the world of medical imaging. For
example, to make sure an MRI machine or a CT scanner is working
properly, it needs to first image an object of known dimensions and
material properties.
"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."
In this case, 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.
"When I have this 3-D fingerprint phantom, I know its precise
measurements," said Jain. "And because I know the true dimensions of the
fingerprint features on this phantom, I can better evaluate fingerprint
readers."
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.
This story has not been edited by Firstpost staff and is generated by
auto-feed.
Read more at: http://www.firstpost.com/fwire/indian-american-scientist-creates-worlds-first-3d-fingerprint-1423019.html?utm_source=ref_article
Read more at: http://www.firstpost.com/fwire/indian-american-scientist-creates-worlds-first-3d-fingerprint-1423019.html?utm_source=ref_article
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.
This development will not only help today's fingerprint-matching
technology do its job better, but could eventually lead to improvements
in security, according to information posted on MSU website.
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."
Imaging phantoms are common in the world of medical imaging. For
example, to make sure an MRI machine or a CT scanner is working
properly, it needs to first image an object of known dimensions and
material properties.
"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."
In this case, 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.
"When I have this 3-D fingerprint phantom, I know its precise
measurements," said Jain. "And because I know the true dimensions of the
fingerprint features on this phantom, I can better evaluate fingerprint
readers."
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.
This story has not been edited by Firstpost staff and is generated by
auto-feed.
Read more at: http://www.firstpost.com/fwire/indian-american-scientist-creates-worlds-first-3d-fingerprint-1423019.html?utm_source=ref_article
Read more at: http://www.firstpost.com/fwire/indian-american-scientist-creates-worlds-first-3d-fingerprint-1423019.html?utm_source=ref_article
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