Biometric template similarity based on feature locations

Details Biometric template similarity based on feature locations Biometric template similarity based on feature locations

2011-04-12

2011-04-12

Le, Vu (Department: 2624)

Image analysis

Applications

Personnel identification

C382S190000, C382S280000, C726S005000

Reexamination Certificate

active

07925055

ABSTRACT:
The present invention relates to a method and a system of determining correspondence between location sets. A basic idea of the present invention is to provide a scheme in which correspondence between location sets is determined. A feature location set (X) comprising a number (n+1) of components is transformed into a feature vector that can be used in an HDS. Therefore, a feature density function (ƒjs(x)) is created. A feature vector (XF) for the HDS is chosen to be a sampled version of the feature density function (ƒX,g(x) ), which results in feature vectors of equal and finite dimensions regardless of the number (n+1) of features that are present in the biometric template XTfrom which the location sets is derived. Thereafter, a distance (d) between two feature location sets (X, Y) is determined. The distance (d) between the sets is chosen to be the Euclidian distance between the corresponding feature density functions.

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