![]() In this approach, image regions are selected and matched automatically. As a next step, we explore a method to fully automatically analyze prints. Differences in geometry are further evaluated by performing a hierarchical cluster analysis using variables derived from the position of seemingly corresponding features. Differences are visualized by way of digital overlays. We evaluate differences in both content (i.e., presence, shape, and intensity of imprinted features) and geometry (i.e., position of imprinted features). We first provide an account of the corresponding characteristics and the differences that occur between prints from the individual members. By analyzing prints of MZ twins, we purposely select pairs of individuals for whom the degree of interindividual variation is low. ![]() This article presents a study of the variation in the appearance of earprints from six pairs of monozygotic (MZ) twins, applying different methods with varying degrees of objectivity. ![]()
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