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Establishing correspondences between minutiae sets is a fundamental issue in fingerprint recognition. This paper proposes a graph matching strategy. It addresses this problem using two extended clique models: the local clique model (LCM) and the global quasi-clique model (GQCM). First, minutia matching is formulated as maximal clique or quasi-clique detection. Similarities and compatibilities between...
Feature matching method is the key technology of image retrieval. A matching method based on SVD is proposed in this paper. Firstly, the feature matrix is constructed and the eigenvalue matrix is calculated based on SVD transformation. Then, the eigenvalue matrix is mapped into vector space, and similarity is measured by comparing the angle between vectors. Finally, the matching method is applied...
Based on the rotation invariant properties of both OurHarris interest point detector and local pseudo-Zernike moments, a rotation robust shape error concealment scheme is proposed. Firstly, the best matching pairs of interest points between two objects are computed by comparing the Euclidean distance of local pseudo-Zernike moments defined on the interest point neighborhood. Then, the global motion...
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