%0 Journal Article %1 msprajaktammudegaonkar2011novel %A Ms.Prajakta M. Mudegaonkar, Prof.Ramesh P. Adgaonkar %B 3 %D 2011 %E Das, Dr. Vinu V %I The Association of Copmuter Electronics and Electrical Engineers %J International Journal on Network Security %K Core_Point Euclidean_Distance Feature_Vector Finger_Code Fingerprints %N 3 %P 5 %T A Novel Approach to Fingerprint Identification Using Gabor Filter-Bank %U http://doi.searchdl.org/01.IJNS.2.3.159 %V 2 %X Fingerprint Identification is a widely used Biometric Identification mechanism. Up till now different techniques have been proposed for having satisfactory Fingerprint Identification. The widely used minutiae-based representation did not utilize a significant component of the rich discriminatory information available in the fingerprints. Local ridge structures could not be completely characterized by minutiae. The proposed filter-based algorithm uses a bank of Gabor filters to capture both local and global details in a fingerprint as a compact fixed length Finger Code. The Fingerprint Identification is based on the Euclidean distance between the two corresponding Finger Codes and hence is extremely fast and accurate than the minutiae based one. Accuracy of the system is 98.22%.

@article{msprajaktammudegaonkar2011novel, abstract = {Fingerprint Identification is a widely used Biometric Identification mechanism. Up till now different techniques have been proposed for having satisfactory Fingerprint Identification. The widely used minutiae-based representation did not utilize a significant component of the rich discriminatory information available in the fingerprints. Local ridge structures could not be completely characterized by minutiae. The proposed filter-based algorithm uses a bank of Gabor filters to capture both local and global details in a fingerprint as a compact fixed length Finger Code. The Fingerprint Identification is based on the Euclidean distance between the two corresponding Finger Codes and hence is extremely fast and accurate than the minutiae based one. Accuracy of the system is 98.22%. }, added-at = {2012-09-25T08:50:39.000+0200}, author = {Ms.Prajakta M. Mudegaonkar, Prof.Ramesh P. Adgaonkar}, biburl = {https://www.bibsonomy.org/bibtex/2f923d5010d1b3cca19eb47cd39dc5a41/ideseditor}, editor = {Das, Dr. Vinu V}, interhash = {163b1d710ae5bd7de19d50a4f701e8da}, intrahash = {f923d5010d1b3cca19eb47cd39dc5a41}, journal = {International Journal on Network Security}, keywords = {Core_Point Euclidean_Distance Feature_Vector Finger_Code Fingerprints}, month = {july}, number = 3, organization = {Institute of Doctors Engineers and scientist(IDES)}, pages = 5, publisher = {The Association of Copmuter Electronics and Electrical Engineers}, series = 3, timestamp = {2012-09-25T08:50:40.000+0200}, title = {A Novel Approach to Fingerprint Identification Using Gabor Filter-Bank }, url = {http://doi.searchdl.org/01.IJNS.2.3.159}, volume = 2, year = 2011 }