Abstract:
An image processing method includes applying a segmentation engine to different mappings of a digital image (120), and using the different segmented mappings to identify segments in the digital image (130).
Abstract:
A system can comprise a memory to store machine readable instructions and a processing unit to access the memory and execute the machine readable instructions. The machine readable instructions can comprise a feature set extractor to extract a feature set from each of a plurality of digital images of print samples. The feature set can be a filtered feature set that includes a feature set characterizing a printer that printed a given print sample of the print samples. The machine readable instructions can also comprise a cluster component to determine clusters of the print samples based on the feature set of each of the plurality of scanned images of the print samples. The machine readable instructions can further comprise a printer identifier to identify the printer of the print samples based on the clusters of the print samples.
Abstract:
A method and apparatus to select from an image (30) of a first sample (28), at least one region (44) digitally captured at a first resolution based upon how a counterfeit identification performance attribute of each region (44) digitally captured at the first resolution correlate to the counterfeit identification performance attribute of the region (44) digitally captured at a second resolution higher than the first resolution. The selected region (44) is used to determine whether the image (30) on a second sample is a counterfeit.
Abstract:
A method for using void pantographs (12) involves generating a test sheet (10) including multiple void pantographs (12, TP), where each of the multiple void pantographs (12, TP) includes a pantograph foreground (14) and a pantograph background (16). The test sheet (10) is printed, and from the printed test sheet (10), at least one of the multiple void pantographs (12, TP) having a covert or semi- covert pantograph foreground (14) and background (16) is identified. The printed test sheet (10) is scanned, and from the scanned test sheet (10), at least one of the multiple void pantographs (12, TP) having an overt pantograph foreground (14) is identified. A workflow is developed for the at least one of the multiple void pantographs (12, TP) having both i) the covert or semi-covert pantograph foreground (14) and background (16) after printing, and ii) the overt pantograph foreground (14) after scanning.
Abstract:
A method for enhancing security printing includes generating data for a region of interest (14), where the data includes information for at least one of locating or analyzing the region of interest (14) using a secure registry (18). The method further includes encrypting a deterrent (12) with the data, and printing the deterrent (12) and the region of interest (14) on an object (10).
Abstract:
Methods, and apparatus for performing methods, for classifying an image. Methods include determining a corresponding set of metrics for each region of two or more regions of a pattern of regions of an image, and classifying the image in response to at least the corresponding set of metrics for each of the two or more regions of the pattern of regions.
Abstract:
A method for enhancing security printing of a layout template is disclosed. The method includes receiving the layout template, and acknowledging one or more constraints for the layout template. At least one unconstrained layout element of the layout template is varied, thereby generating a varied layout template. The varied layout template is printed and scanned. The method further includes determining a number of bits that can be encoded in the varied layout template, where the number of bits depends on the varying of the at least one unconstrained layout element.
Abstract:
A counterfeit identification performance attribute (CIPA) sensitivity to changes in resolution of the image for features of an image is determined (102). The CIPA sensitivity for the features is used to choose at least one feature to determine whether the image on a sample is a counterfeit (106).
Abstract:
A printed information device (10) includes a region of interest (14) in an image, and at least two channels assigned to the region of interest (14) by different means of logical partitioning. The region of interest (14) represents a physical area of the image. Each of the channels has a different error tolerance. Continuous and/or cyclic information is independently encoded in each of the at least two channels. The deterrent (10) is configured to be read substantially simultaneously by at least two distinct reading strategies.