A Contactless Fingerprint Verification Method using a Minutiae Matching Technique

作者: Tahirou Djara , Marc Kokou Assogba , Antoine Vianou

DOI: 10.4018/IJCVIP.2016010102

关键词: MathematicsComputer visionPoint (geometry)Similarity (geometry)Euclidean distanceArtificial intelligenceFingerprint (computing)Matching (graph theory)Pattern recognitionOrientation (computer vision)MinutiaeFingerprint Verification Competition

摘要: Most of matching or verification phases fingerprint systems use minutiae types and orientation angle to find matched pairs from the input template fingerprints. Unfortunately, due some non-linear distortions, like excessive pressure fingers twisting during enrollment, this process can cause features be distorted original. The authors are then interested in a method using contactless images for verification. After extraction, they compute Euclidean distances between bifurcation ending points image minutiae. They after ridges angles point orientations. In decision stage, analyze similarity templates. proposed algorithm has been tested on set 420 images. accuracy is found acceptable experimental results promising.

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