An image correction device includes a line segment detection module, a shape specification module and an image correction module. The line segment detection module detects from a captured image obtained by photographing a document a plurality of line segments that correspond to the notation on the surface of the document. The shape specification module specifies shape approximation lines that approximate the surface shape of the document from the plurality of line segments. The image correction module utilizes the shape approximation lines specified by the shape specification module to correct the captured image.

The present invention relates generally to an automatic alternative content search apparatus for a visually impaired person. More particularly, the present invention relates to an automatic alternative content search apparatus for a visually impaired person, the apparatus recognizing a book or a document, which is placed on a main body, by a camera so as to output the recognized book or document content as a voice, and recognizing characters and images of a textbook cover so as to automatically search for and provide textbook content or alternative content, thereby solving an information accessing problem of a visually impaired person.

An image reading apparatus includes an image reading unit and an image analysis unit. The image reading unit reads images of a plurality of original documents in sequence so as to generate an image data group including a plurality of pieces of image data. The image analysis unit analyzes the image data group to identify a body text region representing a body text of the original document. The image analysis unit identifies a page number region based on a position of the identified body text region. The page number region represents a page number. The image analysis unit determines a first position relationship as a positional relationship between the body text region and the page number region. The image analysis unit detects a disarranged image. The disarranged image is an image of an original document having a second position relationship different from the determined first position relationship.

To provide a reading apparatus capable of obtaining a high-quality image of an object while avoiding complication and increase in size of the whole apparatus, a reading apparatus 1 according to the present invention includes: a placement table including a placement surface 3 on which to place an object; an imaging optical system 12 that condenses a light flux from the object; and an image pickup element 5 that receives the light flux from the imaging optical system 12. At least part of an enlargement-side conjugate plane 6 of the imaging optical system 12 is not parallel to the placement surface 3 and is present on a reduction side with respect to the placement surface.

A scanner system includes a pen-shaped scanner that scans a character strings that is one part of a sentence described in a paper book and generates and transmits sentence image data on the basis of the scanned character string, a storage unit that stores therein book image data that is higher in image quality than the sentence image data and is obtained by electronically imaging the sentence described in the paper book, and a matching unit that compares the book image data with the sentence image data that the pen-shaped scanner has transmitted and extracts partial image data that has been decide to match the sentence image data from the book image data.

A scanner system includes a pen-shaped scanner that scans a character strings that is one part of a sentence described in a paper book and generates and transmits sentence image data on the basis of the scanned character string, a storage unit that stores therein book image data that is higher in image quality than the sentence image data and is obtained by electronically imaging the sentence described in the paper book, and a matching unit that compares the book image data with the sentence image data that the pen-shaped scanner has transmitted and extracts partial image data that has been decide to match the sentence image data from the book image data.

The present disclosure provides a booklist cover generation method, apparatus, device, and storage medium, wherein the method includes: acquiring booklist information about a target booklist, wherein the target booklist indicates a book collection, and the booklist information represents introduction information for the target booklist; determining cover image description information for the target booklist that includes description information corresponding to at least one characteristic dimension of booklist attributes, based on the booklist information; generating a cover image for the target booklist based on the cover image description information.

Provided are a method and a device for recognizing an ancient book. The method comprises: extracting classification features of a target ancient book image based on a backbone network to obtain backbone classification features; detecting the backbone classification features and determining individual character positions and text line positions included in the target ancient book image; recognizing the individual character positions to obtain content information of individual characters, and predicting the text line positions to obtain a reading order of characters in the text line positions; and arranging, based on a ratio between the individual character positions and the text line positions, the content information of the individual characters following the reading order of the characters in the text line positions to obtain a recognition result of characters in the target ancient book image.

A system includes a computing platform having processing hardware, and a systems memory storing a software code. The processing hardware is configured to execute the software code to receive content including an image having multiple image regions, determine boundaries of each of the image regions to identify multiple bounded image regions, identify, within each of the bounded image regions, one or more local features and one or more global features, and identify, within each of the hounded image regions, another one or more local features based on a comparison with corresponding local features identified in each of one or more other bounded image regions. The processing hardware is further configured to execute the software code to annotate each of the bounded image regions using its respective one or more local features, its other one or more local features, and its one or more global features, to provide annotated content.