Abstract: Selectively flipping text and mirroring graphical elements of image without disrupting the readability of the overall image can be desirable. A multifunction device can manipulate an image by separating the image into a first object and a second object, processing the first object so as to mirror the first object about an axis, processing the second object so as to mirror a first position of the second object about the axis and arranging the second object at the mirrored position, and combining the first object and the second object to form an output image. The first object can include a graphical image and the second object can include text, and the second object can overlap the first object.

Abstract: A method for analyzing documents is disclosed. The method compares concepts consisting of groups of terms for similarity within a corpus of document, clusters documents that contain certain concept term sets together. It may also rank the documents within each cluster according to the frequency of term co-occurrence within the concepts.

Abstract: Methods and systems for detecting one or more anomalous devices are disclosed. For each of a plurality of devices, semi-structured data may be received from the device. For each pair of devices, of the plurality of devices, a similarity measurement may be determined between semi-structured data from a first device of the pair of devices and semi-structured data from a second device of the pair of devices. One or more anomalous devices may then be identified and one or more remedial actions may be performed for the one or more identified anomalous devices.

Abstract: The present invention is a method and apparatus for processing image data to accomplish tuning or adjustment of images, so as to modify at least the darkness thereof, using compact, efficient methods and designs.

Abstract: Systems and methods for analyzing time series data are disclosed. A query including a machine variable identifier may be received. The machine variable identifier may include an identifier pertaining to one or more of a state, a condition and a performance measure for a printer. A first time series data entry may be determined based on the query. The first time series data entry may include a data value and a time entry for the machine variable identifier. One or more second time series data entries may be selected based on the data value associated with the first time series data entry. One or more maintenance operations may be performed based on the one or more second time series data entries.

Abstract: The present disclosure is directed to a method and apparatus for applying magnetic ink character recognition (MICR) technology to enable the embedding of coded information within text characters of a document.

Abstract: The present invention is a method and apparatus for processing image data to accomplish tuning or adjustment of images, so as to modify at least the darkness thereof, using compact, efficient methods and designs.

Abstract: Systems and methods for performing fault analysis using numerically coded time series data are disclosed. First time series data, including a plurality of first time entries and an associated first data value for each first time entry, may be received for a machine variable for a first printer. Second time series data, including a plurality of second time entries and an associated second data value for each second time entry, may be received for the machine variable for each of a plurality of second printers. For each second printer, a similarity measurement may be determined for the first time series data for the first printer and the second time series data for the second printer. One or more closest matching second printers may be determined based on the similarity measurements. An association may be displayed between the first printer and each closest matching second printer.

Abstract: The present invention is a method and apparatus for applying magnetic ink character recognition (MICR) technology to enable the embedding of coded information within text characters of a document.

Abstract: Embodiments herein include a method, service, apparatus, etc., that receives initial user input comprising natural language commands that identify the initial color selection. The method displays the initial color samples or patches corresponding to the initial color selection in a two-dimensional grid and receives additional user input comprising additional natural language commands and a refined axis selection. The embodiments herein revise the initial color selection to a revised color selection based on a color change magnitude, a color change direction, and a color change property. Then, this method matches the revised color selection to the computer program colors to produce refined matching colors. These refined matching colors are displayed as refined color samples or patches in the two-dimensional grid. The axes of the two-dimensional grid can correspond to the refined axis selection and the assigned names can also be displayed on the graphic user interface.

Abstract: A process for color graphics image processing, related to detection and segmentation of sweeps, is provided. An input graphics image is transformed into a three-dimensional histogram in an appropriate color space 104 (e.g., CIELUV). Two-dimensional histograms are estimated from the three-dimensional histogram 106. The two-dimensional histograms are processed to detect and segment sweeps 108. Sweep segment information from the processing of the two-dimensional histograms is combined 110. The combined sweep segment information is used to process the input graphics image to identify and segment sweeps 112. Post-processing may be optionally and selectively used to reject false alarms (i.e., areas falsely identified as sweeps) 114.

Abstract: A method for neutral pixel detection using color space feature vectors wherein one color space coordinate represents lightness is provided. The method includes the following steps: a) receiving an input image represented in a first color space; b) converting the input image to a second color space wherein one coordinate represents lightness; c) selecting a pixel in the second color space representation to be classified; d) computing second color space feature vectors associated with the selected pixel; and e) classifying the selected pixel between neutral and color classes based on the values computed for the second color space feature vectors. Typically, the input image is processed using a smoothing filter to create a smoothed input image prior to the conversion to the second color space. The method can be adapted to page processing or strip processing schemes with respect to the input image.

Abstract: A method and system for image processing, in conjunction with classification of images between natural pictures and synthetic graphics, using SGLD texture (e.g., variance, bias, skewness, and fitness), color discreteness (e.g., R—L, R—U, and R—V normalized histograms), or edge features (e.g., pixels per detected edge, horizontal edges, and vertical edges) is provided. In another embodiment, a picture/graphics classifier using combinations of SGLD texture, color discreteness, and edge features is provided. In still another embodiment, a “soft” image classifier using combinations of two (2) or more SGLD texture, color discreteness, and edge features is provided. The “soft” classifier uses image features to classify areas of an input image in picture, graphics, or fuzzy classes.

Abstract: What is disclosed is an image path for work flow or printing in which a scanner or image editor produces a raster image. The raster image is segmented into a background plus a plurality of objects represented as foreground, mask pairs (henceforth the background or a foreground, mask pair will be referred to as a field). Each field possesses a potentially different security level. Each security level corresponds to a public encryption key used to encrypt each layer with its corresponding security level. A publicly known file storage and transmission format that supports mixed raster content is used to store or transmit the raster image. Upon retrieval or reception, a viewer enters in a private key into a user interface. The private key can only decrypt that content to which the viewer is authorized.

Abstract: A method for implementing a filter on a signal is disclosed wherein interval membership information is computed and stored in such a manner so as to use a minimal amount of memory thereby allowing filter computation by a small number of deterministic sequence of table lookups and bit-wise logical operations. In general, the present invention involves using a non-linear filter represented as a plurality of intervals and the discrete values a sample may take. Each sample corresponds to a component in a vector. Each interval is comprised of a lower and upper vector. Each sample value is compared to the lower and upper values of the sample's associated coordinate. A table for that sample is then constructed with binary entries where a ‘1’ denotes that a sample value is within the lower and upper values of the coordinate and ‘0’ denoting otherwise. A table is built for each sample.

Abstract: A novel method is presented for implementing a filter for processing a discrete signal having the steps of first obtaining a plurality of sample values from the discrete signal; then using each sample value to retrieve a bit vector from a plurality of tables. Afterwhich, a logical AND step is performed on the set of retrieved bit vectors; and a determination is made as to whether the resultant bit vector is comprised of all zeros or not. If so, then a predetermined default action is performed, otherwise the position of a non-zero bit in the bit vector is determined and the non-zero bit position is then used to generate a value of the filter.

Abstract: What is presented is a method for feature recognition using loose-gray-scale template matching including at least an initial point for locating within the received image a plurality of pixel points in gray-scale surrounding an initial point. The method has the steps of first locating the initial point and the plurality of pixel points to define feature boundaries and then generating a looseness interval about the located initial point with template information being associated therewith. The next step involves determining which one of a plurality of templates for fitting fits within a threshold looseness interval, and then outputting a signal associated with that recognized feature.

Abstract: Rather than implementing a printer as a single set of rendering parameters, a printer can be implemented as a “meta-printer” that comprises one or more virtual printers. The virtual printers define different sets of rendering parameters. Each virtual printer is accessed through a page description language or through a user interface presiding in a print driver or server. In particular, each virtual printer of the meta-printer has an associated set of rendering parameters. One virtual printer of this meta-printer may be set up to print a first type of content using a first set of selected rendering parameters. This same virtual printer may be set up to print a different type of content using a different set of selected rendering parameters. This may be repeated for any number of additional content types. A user can access these virtual printers to print a document containing a variety of different content types. A user may select one virtual printer of the meta-printer to render an entire document.

Abstract: A novel method for implementing a filter for processing discrete signal image is presented having the steps of first obtaining a plurality of sample values from said discrete signal image and then using each sample value to retrieve a bit vector from a plurality of tables. Afterwhich a logical AND on the set of retrieved bit vectors is performed and the position of the largest non-zero bit is determined. Then, this position is used to index into a table of filter values. The corresponding filter value is then retrieved from the table.

Abstract: A method is presented for decoding auxiliary information in digital images which enables the encoding of both compact auxiliary information specific to a given image and a secret message into a given image such that the hidden message contained therein is only revealed in such a way that neither the image itself nor the auxiliary information alone are sufficient to reveal the secret message. Specifically, a method for decoding an auxiliary message in a digital image, having the steps of first receiving a function F through secure means; then, for each pixel (i,j) in digital image (D) obtaining a N×N windowed observation; applying function F to said N×N windowed observation; marking a corresponding pixel in message (I) with the value obtained from function F; and then writing out the hidden message.