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New Approach for Fingerprint Detection based on Singular Points

Authors: B. Alias; A. Thomas; G. Johnson;

New Approach for Fingerprint Detection based on Singular Points

Abstract

Recognition of persons on the basis of biometric features is an emerging phenomenon which has received increasing attention in recent years due to the need for security in a wide range of applications. Singular points are the discontinuities in the directional field. Two types of singular points exist- core point and delta points. A core is the uppermost point of the innermost curving ridge, and a delta is a point where three ridge flows meet .In human fingerprint, it may contains more than one core point or delta point. By using these points we can construct a graphical shape that is used for fingerprint identification. According to the position of core- delta points the graphical shape for each person is different from others, so comparing with these shape can identify each person.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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