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NBIS consists of a minutiae detector called MINDTCT and a fingerprint matching algorithm known as BOZORTH3.
Storing a minutiae template can be viewed as a lossy form of fingerprint compression.
The features are stored as (x,y,θ) form, where (x,y) denotes coordinate value and θ is the orientation of a minutiae point.
A minutiae m i in T and a minutiae m j ′ in I are considered matching if the spatial distance (sd) between them is lesser than a given tolerance r0 and the direction difference (dd) between them is lesser than an angular tolerance θ0[24].
In these experiments, a minutiae- and a ridge-based matching method are used as the base matchers of the fingerprint verification system, and Table 1 lists EERs of the two base matchers.
(a) If i ′=i then ({x^{d}_{i}}=x_{i}) (b) If i ′>i then ({x^{d}_{i}}=x_{i} + (i'-i *w) (c) i'-i *wi then ({x^{d}_{i}}=x_{i} - (i-i')*w) where x i is the x coordIfate value of a minutiae points and ({x^{d}_{i}}) is the displaced x coordinate value of the same minutiae points and w is the width of a cell of size h×w.
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Then, based on the distance (d=left| {B1_k -B2_k } right| (mathrm{mod}, a)), minutia will be conducted as follows: If (d ge 2t+ 1 then (S_{k} = 1) and if (d < 2t+1) then (S_{k} = 0).
Several algorithms have been proposed for reconstructing the orientation field (OF) from a minutia template [42].
However, only a minutia of the enormous potential of this dynamic class of molecule has been exploited.
The local structure of a minutia is rotation and translation invariant because it consists of the direction and location relative to some other minutiae.
Nandakumar [45] applies a binary fixed-length minutiae representation obtained by quantizing the Fourier phase spectrum of a minutia set in a fuzzy commitment scheme, where alignment is achieved through focal point of high curvature regions.
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