A multifunction peripheral includes an automatic document feeder allowing a document to be conveyed one sheet at a time along a document conveyance path. The document passes through an image reading position midway through conveyance and an image of the document is thereby read. In addition, the angle of tilt of the document is detected on the document conveyance path. If the absolute value of the angle of tilt is less than a first threshold, for instance, tilt correction is not conducted. If the absolute value of the angle of tilt is not less than the first threshold but is less than a second threshold, tilt correction is conducted by image processing. If the absolute value of the angle of tilt is not less than the second threshold, the conveyance of the document is stopped.

An image reading apparatus includes a document table, a first generating section, a first assigning section, a second generating section, a second assigning section, and a relating section. The first generating section generates a plurality of first image data pieces representing respective first side images of a plurality of documents. The first assigning section assigns first symbols to the respective first image data pieces based on a reference position of the document table. The second generating section generates a plurality of second image data pieces representing respective second side images of the plurality of documents. The second assigning section assigns second symbols to the respective second image data pieces based on the reference position. The relating section relates the first image data pieces to the respective second image data pieces based on the first symbols and the second symbols.

A display processor of a controller extracts data such as images and characters from display data stored in a storage based on setting information stored in the storage, and displays a document orientation instructing pane and a 90-degree rotation operation icon in a document image operating pane on a display device. The display processor also displays a print preview image based on the document image data. When a rotation operation is performed through the 90-degree rotation operation icon, the document image data is also subjected to the same rotation process.

Even from a plurality of small documents, their front-side and back-side images to be formed on a recording paper sheet, with alignment and coincidence of the front-side and back-side images of each document between the front and back sides of the recording paper sheet. In an image forming apparatus, an image processing section detects a front-side image of an original document from a scan area read in a first scan by an image reading section, detects a back-side image of the original document from a scan area read in a second scan, and moves or rotates the front-side image and the back-side image of the original document in terms of a whole image of the scan area so that the front-side image and the back-side image of the original document are brought into alignment and coincidence between a front side and a back side of a recording paper sheet.

An auto-rotation module having a single-layer neural network on a user device can convert a document image to a monochrome image having black and white pixels and segment the monochrome image into bounding boxes, each bounding box defining a connected segment of black pixels in the monochrome image. The auto-rotation module can determine textual snippets from the bounding boxes and prepare them into input images for the single-layer neural network. The single-layer neural network is trained to process each input image, recognize a correct orientation, and output a set of results for each input image. Each result indicates a probability associated with a particular orientation. The auto-rotation module can examine the results, determine what degree of rotation is needed to achieve a correct orientation of the document image, and automatically rotate the document image by the degree of rotation needed to achieve the correct orientation of the document image.

An image processing apparatus includes a unit that acquires image data of a target image which is a target of image processing, a unit that acquires a display image showing a target image state, and a unit that performs image processing corresponding to the target image state with respect to the image data of the target image, based on the acquired display image.

An information processing apparatus includes a receiver that receives an input image to be recognized and a processor configured to, by executing a program, align the input image with a template image in such a way as to match a recognition area of the input image and a recognition area defined on the template image, perform a process for recognizing the recognition area of the aligned input image, generate a check image including the template image and the aligned input image, and display the check image and a result of the process for recognizing the recognition area of the aligned input image such that a correspondence between the check image and the result is recognizable.

An image forming apparatus performs a halftone process using plural dither matrices. Generated is calibration data to calculate a color registration error amount corresponding to a primary scanning directional position of an image forming available width. An image area dividing unit determines an image boundary position that is identical to any of matrix boundaries of plural dither matrices arranged in an image forming target area, and divides the image forming target area into plural image adjustment areas using the image boundary position. A correction processing unit corrects secondary scanning directional positions of the plural image adjustment areas, using respective correction amounts calculated with the calibration data. Further, the image area dividing unit determines the image boundary position using a remainder left by dividing in the primary scanning direction the number of pixels of the image adjustment area by the number of pixels of the dither matrix.

A control portion performs a predetermined detection process on a first image from a first reading portion and a second image from a second reading portion. When the detection process on the each image is successful, the control portion performs, based on a value of an image processing variable specified from a detection result, predetermined image processing on the each image, When the detection process on the image of one side fails, a value of an image processing variable for the image of one side is specified based on a value of an image processing variable specified from the detection result for the image of the other side for which detection is successful. Based on the specified value of the image processing variable, image processing is performed on the image of one side.

An image reading apparatus includes a document table, a first generating section, a first assigning section, a second generating section, a second assigning section, and a relating section. The first generating section generates a plurality of first image data pieces representing respective first side images of a plurality of documents. The first assigning section assigns first symbols to the respective first image data pieces based on a reference position of the document table. The second generating section generates a plurality of second image data pieces representing respective second side images of the plurality of documents. The second assigning section assigns second symbols to the respective second image data pieces based on the reference position. The relating section relates the first image data pieces to the respective second image data pieces based on the first symbols and the second symbols.