A Robust Method for Fingerprint Matching Using Genetic Algorithm
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Fingerprint matching is one of the most important stages in automatic fingerprint identification systems (AFIS). Traditional methods treat this problem as point pattern matching, which is essentially an intractable problem due to the various nonlinear deformations commonly observed in fingerprint images. In this paper, we propose an effective and fast fingerprint matching algorithm based on graph matching principles. And applied genetic algorithms (GA), for matching processing which tries to find the optimal transformation between two different fingerprints. Experimental results demonstrate the robustness of our algorithm to non-linear.
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