Fingerprint Recognition Using Global and Local Structures
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CONTRIBUTORS:
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JOURNAL:
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YEAR:
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2011
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PUB TYPE:
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Journal Article
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SUBJECT(S):
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Fingerprint, Global Structure, Local Structure, Average Gradient, Core, Delta, Point Orientation, Singular Point, Directional Field, Ridge, Valley, Bifurcation, Ridge Ending, Minutiae.
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DISCIPLINE:
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Computer Science
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HTTP:
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http://www.enggjournals.com/ijcse/doc/IJCSE11-03-01-120.pdf
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LANGUAGE:
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English
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PUB ID:
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103-488-924
(Last edited on
2011/06/15 01:01:29 GMT-6)
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SPONSOR(S):
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ABSTRACT:
Biometrics is one of the biggest tendencies in human identification. The fingerprint is the most widely used biometric. However considering the automatic fingerprint recognition a completely solved problem is a common mistake. The global level structures consist of many ridges to form some specific shape like arch, loop, and whorl. Local level structures are called minutiae, which further classified as
either endpoints or bifurcations. Either of which can be used to identify the fingerprint, our approach uses both methods.
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STATISTICS
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