Finger Print Recognition: Survey of Minutiae and Gabor Filtering Approach | Zendy

Mukul Kulshrestha | Zendy; Vijay Kumar Banga | Zendy; Sanjeev Kumar | Zendy

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Finger Print Recognition: Survey of Minutiae and Gabor Filtering Approach

Author(s) -

Mukul Kulshrestha,

Vijay Kumar Banga,

Sanjeev Kumar

Publication year - 2012

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/7759-0823

Subject(s) - minutiae , computer science , gabor filter , finger print , pattern recognition (psychology) , artificial intelligence , information retrieval , computer vision , image (mathematics) , fingerprint recognition , fingerprint (computing)

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. General Terms Fingerprint recognition, minutiae technique, gabor filter technique.

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