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Master Thesis - Department of Computer Science

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(a) (b)<br />

(c)<br />

(d)<br />

Minutia<br />

Figure A.1: (a) and (b) A local window containing ridge valley structures; (c) and (d)<br />

Curve (i.e. x-signature) obtained along the direction normal to the ridge orientation.<br />

image is divided into a set <strong>of</strong> W × W nonoverlapping blocks and a single local<br />

ridge orientation is defined for each block.<br />

• A frequency image (F ): A frequency image, F , is an N × N image, where<br />

F (i, j) represents the local ridge frequency <strong>of</strong> the ridge and valley structures<br />

in a local neighborhood along a direction normal to the local ridge orientation.<br />

The ridge and valley structures in a local neighborhood where minutiae or<br />

singular points appear do not form a well-defined sinusoidal-shaped wave (see<br />

Fig. A.1). In such situations, the frequency is defined as the average frequency<br />

in the neighborhood <strong>of</strong> block (i, j). Like orientation image, frequency image is<br />

specified block-wise.<br />

A.1.2 Normalization<br />

Let I(i, j) denote the gray-level value at pixel (i, j), M and V AR denote the estimated<br />

mean and variance <strong>of</strong> I, respectively, and G(i, j) denote the normalized gray-level<br />

value at pixel (i, j). The normalized image is defined as follows:<br />

⎧<br />

⎪⎨ M0 +<br />

G(i, j) =<br />

⎪⎩<br />

� V AR0(I(i,j)−M) 2<br />

V AR<br />

�<br />

V AR0(I(i,j)−M)<br />

M0 −<br />

2<br />

V AR<br />

124<br />

if I(i, j) > M<br />

Otherwise<br />

⎫<br />

⎪⎬<br />

⎪⎭<br />

(A.3)

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