Abstract:
A counterfeit detection system is disclosed herein. The system includes an image reduction system for minimizing size of at least one original image using a plurality of different reduction strategies to generate a plurality of minimized images. The system further includes a classification system which includes a first sub-system for generating at least one accuracy comparative assessment metric for each of the plurality of minimized images, a second sub-system for comparing the at least one accuracy comparative assessment metric for each of the plurality of minimized images with an accuracy assessment metric for the at least one original image, and a third sub-system for determining if at least one of the plurality of minimized images can be transmitted with improved or equivalent classification accuracy at a reduced bandwidth when compared to the original image are also part of the system.
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:
Methods, and apparatus for performing methods, for selecting a classifier engine. Methods include, for two or more portions of a set of items of known classification, classifying members of each portion using a particular classifier engine; selecting a portion of the set of items whose classifications satisfy a first criteria; classifying members of the selected portion of the set of items using two or more classifier engines; and selecting a classifier engine whose classification of the selected portion of the set of items satisfies a second criteria.
Abstract:
An image analyzer (120) aggregates image samples (140) into a cluster (170) based on the image samples (140) being classified from a subset of image metrics applied to a reference sample (130). The image analyzer (120) generates an image quality output (150) by analyzing a distance (180) from the cluster (180) relative to another cluster.
Abstract:
A void pantograph and a method for generating the same are disclosed herein. The void pantograph includes a foreground portion based on a region of an image that is defined using a predetermined filter, and a background portion based on another region of the image that is defined using the predetermined filter.
Abstract:
A system for enhancing security printing includes a segmentation system, a secure database in operative communication with the segmentation system, a secure registry in selective operative communication with the segmentation system, and an analysis system in operative communication with the segmentation system and the secure database, and in selective operative communication with the secure registry. The segmentation system performs zoning analysis on a scanned image to identifying a list of regions in the image. The secure database stores at least one of i) a template, or ii) prior zoning output specification. The secure registry stores region of interest information and information pertaining to strategies for identifying a region of interest. The analysis system identifies the region of interest utilizing at least one of the secure database or the secure registry.
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).