Abstract:
A method aims at identifying, starting from objects in a digital image, a virtual raster included in a coding pattern. The objects in the image at least partially reproduce marks on a base, each mark being associated with a respective point of intersection of raster lines belonging to the virtual raster. The method comprises the steps of matching sets of objects against a cell unit, which corresponds to a recurring known basic element of said raster; when a set corresponds with the cell unit, identifying the objects in the set as approved; and reconstructing the virtual raster on the basis of the mutual arrangement of the approved objects. A computer program, a storage medium and a device for position determination are also described.
Abstract:
A sensor receives a print image from an authorized person to form a template (21), and a candidate to form test data (11). Power spectral density (PSD) data for a template (21) and a candidate (11) are compared, to read out rotation and dilation; these are used to adjust the template or candidate preparatory to a correlation to find translation (51). After applying the translation, and refinement of the rotation and dilation, normalized spatial correlation values (NSCSVs) are used to measure the quality of the match (36) and thresholded (41) to make an early rejection (42) or acceptance (43) decision in very clear cases. Where the question is closure, isomorphic adjustment is applied to the entire template or candidate for a fairer comparison in their overlap area.