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.

A controller of an image reading device performs search for an edge candidate position inward from an edge portion in a main scanning direction of analysis image data in an extraction process of extracting a document region from read image data. When the retrieved edge candidate position corresponds to a dirt position, the search is continued whereas when the retrieved edge candidate position does not correspond to the dirt position, the document region is extracted from the read image data at the retrieved edge candidate position.

An image processing apparatus, an image processing method, a program, and a recording medium storing the program capable of extracting, from an input first image group, an image similar to an image extracted from a reference image group are provided. A first image group including a plurality of images of a user is transmitted to an order reception server. A second image group similar to the first image group is searched from a plurality of reference image groups stored in the order reception server. An image similar to an image previously extracted from the second image group is extracted from the first image group. An album is generated by arranging the image extracted from the first image group in a layout similar to a layout of an album generated from the second image group.

An image reading device includes a first reading device, a second reading device, and circuitry. The first reading device reads an image of one surface of a document. The second reading device reads an image of other surface of the document. The circuitry detects a first skew angle of skew in the read image of the one surface, performs skew correction on the image of the one surface based on the first skew angle, and forms a second skew angle for the image of the other surface. The second skew angle corresponds to reverse of the first skew angle. The circuitry further performs the skew correction on the image of the other surface based on the second skew angle, and outputs at least one of the image of the one surface subjected to the skew correction and the image of the other surface subjected to the skew correction.

A sample storage device executes acquisition processing of acquiring an album created by combining a template with an image, alteration processing of altering a face of a person included in the image in the album to a state where specifying an individual is difficult, and storage processing of storing the album on which the alteration processing is performed in a database as a sample to be used for creating a new album.

A sample storage device executes acquisition processing of acquiring an album created by combining a template with an image, alteration processing of altering a face of a person included in the image in the album to a state where specifying an individual is difficult, and storage processing of storing the album on which the alteration processing is performed in a database as a sample to be used for creating a new album.

A verification apparatus includes a reading unit configured to read an image of a conveyed sheet. The apparatus obtains a reference image for verification of a sheet, and extracts, from the reference image, feature points to be used for alignment of an image with the reference image. The apparatus aligns, with the reference image, a read image obtained by reading an image of a verification target sheet by the reading unit, and verifies the read image by comparing the aligned read image with the reference image. Based on a number of the feature points extracted from the reference image the alignment is performed using positions of the feature points or using positions of sheet vertices each indicating a corner of the sheet.

Image processors are provided for respective groups formed by grouping of images, the order of which is sequential when images respectively having overlapping portions corresponding to the same portion of an object are arranged so as to be adjacent to each other, and concurrently perform processing to detect combining-position information for combining an image in a group and an image adjacent to the image without any positional displacement by image-matching. The combining-position information between images belonging to different groups is respectively transferred, via combination-information transferring paths, between the image processors and between the image processors.

Image processors are provided for respective groups formed by grouping of images, the order of which is sequential when images respectively having overlapping portions corresponding to the same portion of an object are arranged so as to be adjacent to each other, and concurrently perform processing to detect combining-position information for combining an image in a group and an image adjacent to the image without any positional displacement by image-matching. The combining-position information between images belonging to different groups is respectively transferred, via combination-information transferring paths, between the image processors and between the image processors.

A system and method that allows the capture of a series of images to create a single linear panoramic image is disclosed. The method includes capturing an image, dynamically comparing a previously captured image with a preview image on a display of a capture device until a predetermined overlap threshold is satisfied, generating a user interface to provide feedback on the display of the capture device to guide a movement of the capture device, and capturing the preview image with enough overlap with the previously captured image with little to no tilt for creating a linear panorama.