A print control system is provided. The system comprises an image forming unit to form an image onto a sheet; an image reader to read an image of the sheet; an inspection unit to inspect a quality by comparing the image read by the image reader with a reference image. The system forms an image by the image forming unit using a first print setting defined in advance when registering the reference image, registers, as the reference image, an image read by the reading unit, and forms an image by the image forming unit using a second print setting defined in advance when manufacturing a print product.

An image processing apparatus includes an acquisition unit configured to acquire a read image obtained by reading a printed document, and a determination unit configured to determine presence or absence of a streak included in the read image, by tracking a contour of the printed document from each of a plurality of points that are both end points of the read image in a direction orthogonal to a reading direction of the read image.

An image processing apparatus compares a target image and a reference image and thereby detects an anomaly in the target image, and includes an anomaly detecting unit. The anomaly detecting unit is configured to (a) generate a first characteristic map obtained by performing a filter process for the target image and a second characteristic map obtained by performing the filter process for the reference image, (b) derive a correction amount on the basis of a deviation between an object in the first characteristic map and an object in the second characteristic map, and (c) correct the target image and/or the reference image with the correction amount and thereafter compare the target image and the reference image and thereby detect an anomaly in the target image.

The present disclosure relates to generating fillable digital forms corresponding to paper forms using a form conversion neural network to determine low-level and high-level semantic characteristics of the paper forms. For example, one or more embodiments applies a digitized paper form to an encoder that outputs feature maps to a reconstruction decoder, a low-level semantic decoder, and one or more high-level semantic decoders. The reconstruction decoder generates a reconstructed layout of the digitized paper form. The low-level and high-level semantic decoders determine low-level and high-level semantic characteristics of each pixel of the digitized paper form, which provide a probability of the element type to which the pixel belongs. The semantic decoders then classify each pixel and generate corresponding semantic segmentation maps based on those probabilities. The system then generates a fillable digital form using the reconstructed layout and the semantic segmentation maps.

System and methods used to inspect a moving web (112) include a plurality of image capturing devices (113) that image a portion of the web at an imaging area. The image data captured by each of the image capturing devices at the respective imaging areas is combined to form a virtual camera data array (105) that represents an alignment of the image data associated with each of the imaging areas to the corresponding physical positioning of the imaging areas relative to the web. The image output signals generated by each of the plurality of image capturing devices may be processed by a single image processor, or a number of image processors (114) that is less than the number of image capturing devices. The processor or processors are arranged to generate the image data forming the virtual camera array.

A verification apparatus according to one embodiment of the present disclosure selects an image associated with a code of a reference image switching sheet as a reference image when the code of the reference image switching sheet is read. An instruction is provided to discharge the reference image switching sheet to a set sheet discharging destination.

An information processing system acquires, using a reading device, a read image from an original on which a handwritten character is written; acquires, based on the read image, a partial image that is a partial region of the read image and a binarized image that expresses the partial image by two tones; performs learning of a learning model based on learning data that uses the partial image as a correct answer image and the binarized image as an input image; acquires print data including a font character; generates conversion image data including a gradation character obtained by inputting the font character to the learning model; and causes an image forming device to form an image based on the generated conversion image data.

There is provided with an image processing apparatus. An obtaining unit obtains a first image serving as a read image of an inspection target medium having undergone printing, and a second image serving as a read image of a reference medium representing a target print result. An inspection unit inspects a defect on the inspection target medium based on the first image and the second image by performing inspection at inspection settings different between a print region and a peripheral region of the inspection target medium.

This application provides a method of detecting printing defects. The method includes obtaining a first image of each character in a reference image. A third image of each character is obtained based on the first image of each character, a fourth image of each character is obtained based on a second image of each character obtained from an image to be detected. Once a fifth image of each character is obtained based on the third image of each character, a sixth image of each character is obtained according to the fourth image and the fifth image of each character, a detection result of each character in the image to be detected is determined according to the fifth image and the sixth image of the each character.

A CNN of an image forming apparatus includes: an encoder which compresses, for each tile image obtained by dividing an image into specific size pieces, information of the tile image; a decoder which restores the information of the tile image compressed by the encoder; and a blank sheet determination portion which determines whether the tile image corresponds to a blank sheet image. A segmentation image generation portion uses, when the blank sheet determination portion determines the tile image as being the blank sheet image, the blank sheet image for an image of a part corresponding to the tile image in a segmentation image, and uses, when the blank sheet determination portion determines the tile image as not being the blank sheet image, an output image of the decoder for an image of a part corresponding to the tile image in the segmentation image.