Abstract:
Hierin offenbarte Beispiele betreffen das Bestimmen von Positionsinformationen bei der Bilderfassung, basierend auf einem quasiperiodischen Muster. Beispielsweise kann ein Prozessor bestimmen, ob ein Zielbereich innerhalb eines erfassten Bildes liegt, basierend auf der Erkennung eines quasiperiodischen Musters in einem ersten Erkennungsbereich und in einem zweiten Erkennungsbereich des erfassten Bildes.
Abstract:
Disclosed herein are a system, non-transitory computer-readable medium, and method for encoding and decoding information on a data bearing medium. A message comprising a bit string is read. A plurality of substrings in the message may be associated with a phase invariant codeword.
Abstract:
A forensic verification system (1100) extracts a print signature via a print signature extractor (1110) from an interior of a halftone contained in an image. The system (1100) utilizes a comparator (1120) to compare the print signature to a reference signature stored in a registry to determine differences between the print signature and the reference signature. The system (1100) utilizes a forensic analyzer (1130) to perform a forensic analysis on the signatures based on the comparison to authenticate the image.
Abstract:
A data-bearing medium has an array of data-bearing elements. The array of data-bearing elements represents an array of bits. A certain number of the bits repeat within the array of bits. Positions of the bits in each row of the array of bits are circularly shifted from positions of the bits in an immediately preceding row.
Abstract:
A forensic verification system (900) extracts a print signature via a print signature extractor (910) from a captured image of a printed halftone. The system (900) utilizes a comparator (920) to compare the print signature to a reference signature stored in a registry to determine differences between the print signature and the reference signature. The system (900) utilizes a forensic analyzer (930) to perform a forensic analysis on the signatures based on the comparison to authenticate the printed halftone.
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:
Example implementations relate to multiple payload pantograph. Some examples may include a first pattern generation engine to generate a first pattern. The first pattern may be a data-bearing pattern encoding a first payload. Additionally, some examples may include a second pattern generation engine to generate a second pattern, the second pattern (by itself or in combination with the first pattern) may represent a second payload. The second payload may be camouflaged by a combination of the first pattern and the second pattern. Some examples may also include a pantograph generation engine to generate a multiple payload pantograph including the first pattern and the second pattern. The multiple payload pantograph may include the first pattern in one of the pantograph background or the pantograph foreground.