Fingerprints are the most universal, unique and
persistent biometrics. The growing interest and eventually
the need for advanced security, privacy and user convenience
has put an access to fingerprint recognition, beyond the other
biometrics recognition systems. Despite the ingenious
methods improvised to increase the efficiency of detection in
growing identity frauds, the growing demands for fingerprint
as a biometric recognition system has quickly become
overwhelming. Major challenges coming in the way of a robust
fingerprint recognition system are the presence of noise, cuts,
wet or dry images, different pressure and skin conditions, etc.
The main objective of this paper is to review the extensive
research on fingerprint recognition over the last decades and
to address the present challenges. A comprehensive analysis
can be made from the tabular form of the presented summary
table using various techniques and features. Finally, the future
directions of fingerprint recognition are explored.
%0 Generic
%1 shankaranarayanan2013various
%D 2013
%E Shankaranarayanan, Dr.
%I ACEEE (A Computer division of IDES)
%K Biometric Global Local Minutiae and features
%T Various Mathematical and Geometrical Models for Fingerprints: A Survey
%U http://searchdl.org/public/book_series/LSCS/3/25.pdf
%X Fingerprints are the most universal, unique and
persistent biometrics. The growing interest and eventually
the need for advanced security, privacy and user convenience
has put an access to fingerprint recognition, beyond the other
biometrics recognition systems. Despite the ingenious
methods improvised to increase the efficiency of detection in
growing identity frauds, the growing demands for fingerprint
as a biometric recognition system has quickly become
overwhelming. Major challenges coming in the way of a robust
fingerprint recognition system are the presence of noise, cuts,
wet or dry images, different pressure and skin conditions, etc.
The main objective of this paper is to review the extensive
research on fingerprint recognition over the last decades and
to address the present challenges. A comprehensive analysis
can be made from the tabular form of the presented summary
table using various techniques and features. Finally, the future
directions of fingerprint recognition are explored.
@conference{shankaranarayanan2013various,
abstract = {Fingerprints are the most universal, unique and
persistent biometrics. The growing interest and eventually
the need for advanced security, privacy and user convenience
has put an access to fingerprint recognition, beyond the other
biometrics recognition systems. Despite the ingenious
methods improvised to increase the efficiency of detection in
growing identity frauds, the growing demands for fingerprint
as a biometric recognition system has quickly become
overwhelming. Major challenges coming in the way of a robust
fingerprint recognition system are the presence of noise, cuts,
wet or dry images, different pressure and skin conditions, etc.
The main objective of this paper is to review the extensive
research on fingerprint recognition over the last decades and
to address the present challenges. A comprehensive analysis
can be made from the tabular form of the presented summary
table using various techniques and features. Finally, the future
directions of fingerprint recognition are explored.},
added-at = {2014-02-05T06:02:29.000+0100},
biburl = {https://www.bibsonomy.org/bibtex/208202e6cd8248ae141c4ba076ac1f8a0/idescitation},
editor = {Shankaranarayanan, Dr.},
interhash = {95d3c92b72499b24d82c938d53eb7f62},
intrahash = {08202e6cd8248ae141c4ba076ac1f8a0},
keywords = {Biometric Global Local Minutiae and features},
organization = {Institute of Doctors Engineers and Scientists},
publisher = {ACEEE (A Computer division of IDES)},
timestamp = {2014-02-05T06:02:29.000+0100},
title = {Various Mathematical and Geometrical Models for Fingerprints: A Survey},
url = {http://searchdl.org/public/book_series/LSCS/3/25.pdf},
year = 2013
}