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Fingerprint matching requires pattern matching. Having determined the major grouping of the candidate pattern (arch, loop or whorl), the minutia features of the candidate are established (ridge endings, bifurcation and short ridges). The stored templates are then filtered to a subset which closely resembles the candidate features. Templates are rotated and scaled to locate a set of matches. If the minutia features offer a close match, the images undergo a complete pattern match. Factors that can affect the match include scar tissue, creating features that may not exist in the templates. If no matches are found, the subset is gradually widened, excluding those already examined. If several matches are found, they are graded as to how closely they resemble the candidate, at which point a manual inspection is required.

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