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Fingerprint Feature Extraction Using the Convex Structure  

김두현 (서강대학교 전자공학과)
박래홍 (서강대학교 전자공학과)
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Abstract
In this paper, we propose a new fingerprint feature extraction method using the convex structure. A fingerprint minutiae flows along the uniform direction and is regarded as a sinusoidal signal across the normal direction. Local maxima of the signal represent coarse thinned one-pixel-wide ridges in which the convex region of the signal correspond to ridges. The proposed fingerprint feature extraction method detects the convex structure and local maxima. Finally fingerprint features are extracted from one-pixel-wide ridges. Because it has no parameter, it is efficient for various fingerprint identification systems.
Keywords
지문;융선;특징점;사인파;컨벡스;
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