# Matching - Sum is the highest when images match Method 6...

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Matching Method 3 : Sort minutiae in some order. Then compare ordered vectors. Method 4 : Use other features to describe minutiae (e.g. length and curvature of ridge). Method 5 : Matching on the basis of overall ridge pattern (correlation, global matching, image multiplication). Translate one image over another and perform multiplication at each pixel. Find the sum.
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Unformatted text preview: Sum is the highest when images match. Method 6 : Perform correlation matching in frequency domain. Perform 2-D FFT; multiply two transformed images; sum multiplied values. Correlation matching is less tolerable to noise and non-linear transformation. Problems: translational, rotational freedom (depend on landmarks)....
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## This document was uploaded on 11/03/2011 for the course BIOLOGY BSC1105 at Broward College.

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