Abstract: An editing device is configured to edit print data including first print data and second print data via a display device for creating a composite label with a printing device. The composite label includes a first label and a second label and is created by superposing the second label over the first label. A set of program instructions, when executed by a controller of the editing device, causes the editing device to perform displaying an editing screen on the display device. The editing screen has a first region, a second region, and a composite region. The displaying displays a first label image based on the first print data in the first region, a second label image based on the second print data in the second region, and a composite label image formed by superposing the second label image over the first label image in the composite region.

Abstract: Provided are a method and apparatus for translating words in a picture, an electronic device, and a storage medium. The method includes: recognizing words embedded in a target picture to obtain at least one text line, each of which corresponds to one line of words; perform paragraph combination on the at least one text line to obtain at least one text paragraph; translating the at least one text paragraph into at least one target text paragraph in a specified language; and replacing the words in the target picture with the at least one target text paragraph.

Abstract: An information processing device includes an information acquisition unit that acquires at least one of attribute information of image data to be image processed and setting information related to the image process on the image data, and a prediction unit that predicts, based on a machine-learned model that accepts input of at least one of the attribute information and the setting information to output a period required for the image process, a period required for the image process on the image data from information acquired by the information acquisition unit.

Abstract: In an embodiment, an apparatus comprises one or more processors and one or more memories communicatively coupled to the one or more processors and storing instructions which, when processed by the one or more processors, cause: capturing a digital image of one or more contents of the item of mail using the image capture device; extracting, by an image processing device, information from one or more of the image of the item of mail or the image of the one or more contents of the item of mail, the extracted information comprising identifying data and characteristic data; based, at least in part, on the characteristic data, determining a priority level for the item of mail; causing displaying, on a client computing device, a graphical user interface comprising the identifying data and the priority level for the item of mail.

Abstract: A data processing method includes detecting a first operation for a first page, determining a layout type of the first page, the first page including a first section and a second section, and in response to the layout type being same as a preset type, adjusting a relative position between the first section and the second section so that both of the first section and the second section are visible when moving along a first direction in a display area.

Abstract: An apparatus, system, and method, each of which associates a region subjected to image processing with identification information, receives, in response to a device accepting selection from a user, the identification information and image data from the device, and outputs a result of the image processing performed on the region subjected to image processing associated with the identification information.

Abstract: A method and apparatus for processing an image, a device and a storage medium are provided. An implementation of the method includes: acquiring a template image, the template image including at least one region of interest; determining a first feature map corresponding to each region of interest in the template image; acquiring a target image; determining a second feature map of the target image; and determining at least one region of interest in the target image according to the first feature map and the second feature map.

Abstract: An information processing system includes an image processing apparatus including first circuitry and an information processing apparatus including second circuitry The first circuitry of the image processing apparatus reads an application form with a scanner to generate image data, acquires electronic watermark data from the image data, acquires, from an integrated circuit card, first identification information of the integrated circuit card, and creates application data based on the application form. The second circuitry of the information processing apparatus communicates with the image processing apparatus via a network, and performs user authentication based on the first identification information of the integrated circuit card acquired from the integrated circuit card and second identification information of the integrated circuit card previously associated with identification information of the application form.

Abstract: A device and method for projecting a light pattern is provided. The device includes a processor system and a housing. The housing is rotatable about a first axis. A measurement device is operably coupled to the housing that measures a distance to a surface in an environment. A light projector is operably coupled to the housing, the light projector having a light source and a pair of movable mirrors, the light source positioned to emit light onto the pair of movable mirrors. Wherein the processor system is responsive to computer instructions for: determining 3D coordinates of points on the surface with the 3D measurement device; selecting a pattern; adjusting the pattern based at least in part on the 3D coordinates; and causing the light projector to emit a beam of light and moving the pair of mirrors to generate the adjusted pattern on the surface.

Abstract: An image forming apparatus includes a conversion unit to convert image data based on a conversion condition, an image forming unit to form an image based on an image data converted by the conversion unit, and a control unit to execute first calibration in which both a first conversion condition for a first speed and a second conversion condition for a second speed are generated based on a detection result of a first pattern that is formed at the first speed, with the first calibration being executed at initial installation of the apparatus, and execute second calibration in which the second conversion condition is generated based on a detection result of a second pattern that is formed at the second speed, with the second calibration being not executed at the initial installation of the apparatus.

Abstract: An information processing apparatus includes one or more processors, and at least one computer-readable medium storing executable instructions, wherein the at least one computer-readable medium and the one or more processors are configured to: cause a first printing setting UI including a plurality of printing setting values corresponding to a plurality of printing setting items to be displayed on a display unit, and cause a second printing setting UI to be displayed on the display unit. The second printing setting UI includes an area for setting contrast, a sample image displayed with the set contrast, and an object for printing the sample image. In causing a printing unit to print the sample image in response to a selection of the object, part of the plurality of printing setting values set in the first printing setting UI are not used, and other remaining printing setting values are used.

Abstract: An optical module positioning method for an image processing device is provided. The image processing device includes a scanning platform and an optical module. The scanning platform includes a first region, a second region, a third region and a fourth region. The fourth region is arranged between the first region and the second region. The first region is arranged between the third region and the fourth region. The optical module positioning method includes the following steps. Firstly, the optical module is driven to perform a scanning operation to acquire a scanned image while the optical module is not moved. Then, by judging the color values of two ends of the scanned image, the region where the optical module is stayed can be recognized according to the associated color values.

Abstract: An apparatus for generating data includes one or more processors and one or more memories, the one or more memories including one or more programs. The one or more programs cause the one or more processors (a) to generate edge data for specifying an area that corresponds to an edge of a convex portion, based on data for specifying a position of the convex portion in unevenness, (b) to determine whether a height of the edge that the edge data represents is equal to or greater than a first threshold, and (c) to reduce a recording amount of a recording material for forming, on the recording medium, an area that corresponds to the edge the height of which is less than the first threshold.

Abstract: An example method of document classification comprises: detecting a set of keypoints in an input image; generating a set of keypoint vectors, wherein each keypoint vector of the set of keypoint vectors is associated with a corresponding keypoint of the set of keypoints; extracting a feature map from the input image; producing a combination of the set of keypoint vectors with the feature map; transforming the combination into a set of keypoint mapping vectors according to a predefined mapping scheme; estimating, based on the set of keypoint mapping vectors, a plurality of importance factors associated with the set of keypoints; and classifying the input image based on the set of keypoints and the plurality of importance factors.

Abstract: A x-ray micro tomography system provides the ability to proscriptively determine regularization parameters for iterative reconstruction of a sample, from projection data of the sample. This allows a less experienced operator to determine the regularization parameters with adequate precision.

Abstract: Systems and methods for extracting data values from electronic documents using neural networks. The method includes receiving an electronic document having data values and associated field identifiers, determining pixel coordinates corresponding to the field identifiers using a first neural network, and extracting the field identifiers located at the pixel coordinates using a second neural network. The method also includes, for each of the field identifiers, calculating pixel coordinates on the electronic document corresponding to a data value associated with the field identifier using a third neural network and extracting the data value located at the calculated pixel coordinates using the second neural network. The method further includes, for each of the data values, generating a record in a data structure, the record including the extracted value and the extracted field identifier. The method also includes storing the data structure including the records in a database.

Abstract: An image forming apparatus receives a print job. If the print job includes instruction information for giving an instruction on a sheet setting for a sheet feed unit, the image forming apparatus makes the sheet setting for the sheet feed unit based on the instruction information. The image forming apparatus executes printing based on the print job.

Abstract: According to an exemplary embodiment of the present disclosure, an isolated dot is removed from an image including a shading dot, and a shading dot in contact with a character is removed from the isolated dot-removed image based on a size of the removed isolated dot.

Abstract: The present disclosure relates to a system and method to extract information from unstructured image documents. The extraction technique is content-driven and not dependent on the layout of a particular image document type. The disclosed method breaks down an image document into smaller images using the text cluster detection algorithm. The smaller images are converted into text samples using optical character recognition (OCR). Each of the text samples is fed to a trained machine learning model. The model classifies each text sample into one of a plurality of pre-determined field types. The desired value extraction problem may be converted into a question-answering problem using a pre-trained model. A fixed question is formed on the basis of the classified field type. The output of the question-answering model may be passed through a rule-based post-processing step to obtain the final answer.

Abstract: An information processing apparatus includes a processor configured to: acquire, from results of character recognition performed on a target image including character strings, attribute information indicating an attribute to which a key character string and a value character string belong, the key character string as a character string specified beforehand as a key and the value character string as a character string indicating a value corresponding to the key character string; acquire by using the attribute information the key character string corresponding to the value character string extracted from the results of the character recognition; and output the key character string and the value character string corresponding to the key character string.