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Finger Print Recognition: Survey of Minutiae and Gabor Filtering Approach

International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 50 - Number 4
Year of Publication: 2012
Megha Kulshrestha
V. K. Banga
Sanjeev Kumar

Megha Kulshrestha, V K Banga and Sanjeev Kumar. Article: Finger Print Recognition: Survey of Minutiae and Gabor Filtering Approach. International Journal of Computer Applications 50(4):17-21, July 2012. Full text available. BibTeX

	author = {Megha Kulshrestha and V. K. Banga and Sanjeev Kumar},
	title = {Article: Finger Print Recognition: Survey of Minutiae and Gabor Filtering Approach},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {50},
	number = {4},
	pages = {17-21},
	month = {July},
	note = {Full text available}


Fingerprints are the most popular and studied biometrics features. Their stability and uniqueness make the fingerprint identification system extremely reliable and useful for security applications. Fingerprints are the oldest and most widely used form of biometric identification. Everyone is known to have unique, immutable fingerprints. This paper deals with the issue of selection o fan optimal algorithm for fingerprint matching in order to design a system that matches required specifications in performance and accuracy. Two approaches have been discussed in this paper based on minutiae located in a fingerprint and based on gabor filter which is used to matching the fingerprint.


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