Abstract: An example method of rapid image registration includes recovering an affine transform of a quasi-periodic object based on peak locations of Discrete Fourier Transform (DFT) in a captured image. The example method also includes filtering a region of the captured image to match a filtered version of a reference image including the quasi periodic object. The example method also includes recovering translation parameters to reduce image differences between the reference image and the captured image for a subset of the image locations of the filtered image and outputting an approximate transform including translation.

Abstract: Examples disclosed herein relate to determining peak distances between an origin, point in the frequency domain and peak points of a discrete Fourier transform magnitude of an image of a periodic or quasi-periodic target.

Abstract: Examples disclosed herein relate to determining the presence of quasi-periodic two-dimensional object. In one implementation, a processor determines peak points of a DFT of an image where the peak points are points with a value above a threshold relative to surrounding points. The processor may then output information indicating the existence of a quasi-periodic two-dimensional object within the image based on the peak points.

Abstract: A series of images of an object are captured using illumination sources. The series of images correspond to different relative orientations of the object and the illumination sources. A forensic signature for the object is generated using one or more of the series of images. The forensic signature is unique to the object.

Abstract: A forensic authentication system includes an imaging device to capture an image of a printed mark and a non-printed area of a substrate directly adjacent to the printed mark, and a processor to run computer readable instructions. The processor can run computer readable instructions to utilize a model to define a substrate region that corresponds with at least a portion of the non-printed area of the substrate directly adjacent to the printed mark; and computer readable instructions to generate a substrate signature for the defined substrate region. Each of the computer readable instructions is embedded on a non-transitory, tangible computer readable medium.

Abstract: A data-bearing image (391) is created from a carrier image (371). The carrier image (371) is scaled to produce a scaled image. A clustered-dot halftone screen is applied to the scaled image to produce a halftone image. A resulting number of cells in the halftone image conforms to a cell count (372) that includes a horizontal cell value and a vertical cell value. Payload data is encoded into the halftone image to produce a data-bearing halftone image, including shifting pixel clusters within cells of the halftone image that include pixel clusters.

Abstract: Examples disclosed herein relate to classifying paper based on three-dimensional characteristics of the paper. For example, a representation of the three-dimensional characteristics of the paper may be created, and statistical summary information related to the three-dimensional characteristics of the paper may be determined based on the representation. The paper may be classified based on the statistical summary information.

Abstract: A forensic verification system extracts a print signature via a print signature extractor from an interior of a halftone contained in an image. The system utilizes a comparator 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 utilizes a forensic analyzer to perform a forensic analysis on the signatures based on the comparison to authenticate the image.

Abstract: Document copying systems and methods include initiating a copy job for copying a document having document content. A log of the copy job is generated, and the document is scanned to create a document content image. The log is encoded using an input image to produce a data-bearing halftone image which is merged with the document content image. The merged data-bearing halftone image and the document content image are printed to produce a copy of the document.

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 forensic verification system (700) extracts a print signature via print signature extractor 710 from the boundary of a halftone contained in an image. The system (700) compares the print signature to a reference signature stored in a registry via comparator 720 to determine differences between the print signature and the reference signature. The system 700 performs a forensic-level statistical image analysis via forensic analyzer 730 on the print signature and the reference signature based on the comparison to authenticate the printed media.

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: A series of images of an object are captured using illumination sources. The series of images correspond to different relative orientations of the object and the illumination sources. A forensic signature for the object is generated using one or more of the series of images. The forensic signature is unique to the object.

Abstract: Document copying systems and methods include initiating a copy job (20) for copying a document (1) having document content. A log (22) of the copy job is generated, and the document is scanned to create a document content image (24). The log is encoded using an input image to produce a data-bearing halftone image (26) which is merged with the document content image (28). The merged data-bearing halftone image and the document content image are printed (30) to produce a copy (2) of the document.

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 forensic verification system (700) extracts a print signature via print signature extractor 710 from the boundary of a halftone contained in an image. The system (700) compares the print signature to a reference signature stored in a registry via comparator 720 to determine differences between the print signature and the reference signature. The system 700 performs a forensic-level statistical image analysis via forensic analyzer 730 on the print signature and the reference signature based on the comparison to authenticate the printed media.

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: A method for model-based signature profile extraction includes capturing an image of an authentic glyph. An outline model is fit to the image of the authentic glyph, and an authentic signature profile is extracted based on the outline model. A signature profile extracted from an image of another glyph may be compared to the to the authentic signature profile so as to forensically verify authenticity of the other glyph The system for model-based signature profile extraction includes a controller, a capture unit, an outline unit, a profiling unit, and a forensic verification unit. A computer readable medium containing executable instructions is also described.

Abstract: An image is obtained of an identifying object that is on a printed document. A forensic signature is extracted from the image. Access to the extracted forensic signature profile is enabled via information encoded in the identifying object. The identifying object may be interpreted to access the forensic signature for comparison with another.

Abstract: A forensic authentication system includes an imaging device to capture an image of a printed mark and a non-printed area of a substrate directly adjacent to the printed mark, and a processor to run computer readable instructions. The processor can run computer readable instructions to utilize a model to define a substrate region that corresponds with at least a portion of the non-printed area of the substrate directly adjacent to the printed mark; and computer readable instructions to generate a substrate signature for the defined substrate region. Each of the computer readable instructions is embedded on a non-transitory, tangible computer readable medium.