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Fingerprint matching is challenging as the matcher has to minimize two competing error rates: the False Accept Rate and the False Reject Rate. We propose a novel, efficient , accurate and distortion-tolerant fingerprint authen-tication technique based on graph representation. Using the fingerprint minutiae features, a labeled, and weighted graph of minutiae(More)
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