An image processing device including: a first feature quantity selecting unit configured to select a first feature quantity of a document image that is a character recognition target among first feature quantities that are recoded in advance and represent features of character strings of an item; a character recognition processing unit configured to perform a character recognition process for the document image; a character string selecting unit configured to select a character string of a specific item corresponding to the first feature quantity among the character strings acquired as a result of the character recognition process; and a determination result acquiring unit configured to acquire a determination result indicating whether or not a character string that has been input in advance matches the character string of the specific item in a case in which the character string selecting unit has not selected any one of the character strings.

According to one embodiment, an image reading device includes an image reading unit, a control unit, and an output unit. The image reading unit reads an image formed on a document to generate read image data. The control unit extracts at least one predetermined area from the read image data to generate extracted image data, compares the extracted image data and reference image data determined for each of the predetermined area, for each of the predetermined area, and generates an aggregated image obtained by aggregating the extracted image data and information indicating a result of the comparison. The output unit outputs the aggregated image.

A processor may receive an image and identify a plurality of characters in the image using a machine learning (ML) model. The processor may generate at least one word-level bounding box indicating one or more words including at least a subset of the plurality of characters and/or may generate at least one field-level bounding box indicating at least one field including at least a subset of the one or more words. The processor may overlay the at least one word-level bounding box and the at least one field-level bounding box on the image to form a masked image including a plurality of optically-recognized characters and one or more predicted fields for at least a subset of the plurality of optically-recognized characters.

In a computer-implemented method for editing overview images of a microscope, a raw overview image is obtained in a first step. The raw overview image is transformed by means of calibration data into an overview image in which image directions coincide with given directions. At least one geometric property of text of at least one text region in the overview image is determined. A transformed text region is calculated taking into account the determined geometric property so that the transformed text region exhibits a desired geometric property of the text.

An information processing apparatus includes a processor configured to: separate a header part and a body part from a read image obtained by reading a facsimile document which is a document received by facsimile; and switch preprocessing in accordance with a header recognition result which is a recognition result obtained through character recognition on the header part, the preprocessing being performed before character recognition on the body part.

An input apparatus includes a handwriting input unit configured to receive a handwritten input using a position of a pen or a user's finger in contact with a display; and a display unit configured to display the handwritten input received by the handwriting input unit on the display as a handwritten object. The input apparatus is configured to, in response to no occurrence of a change in the handwritten object during a first period, display one or more operation commands on the basis of the handwritten object.

An image forming apparatus includes: a document reading device that reads a plurality of original documents on a document support surface in a batch; an individual image cutouter that cuts individual images of the original documents out of image data obtained by batch reading; a character recognizer that recognizes, for each individual image, characters in the individual image; a document determiner that determines, for each individual image, whether the recognized characters contain a type name; an acquirer that acquires, from the characters determined to contain the type name, a plurality of informative character strings associated one-to-one with a plurality of item names; a data generator that generates, for each individual image, a piece of document data in which the type name is associated with the plurality of acquired informative character strings; and a document data storage that stores the pieces of document data generated one for each individual image.

Systems and methods are provided for processing an image of a financial payment document captured using a mobile device and classifying the type of payment document in order to extract the content therein. These methods may be implemented on a mobile device or a central server, and can be used to identify content on the payment document and determine whether the payment document is ready to be processed by a business or financial institution. The system can identify the type of payment document by identifying features on the payment document and performing a series of steps to determine probabilities that the payment document belongs to a specific document type. The identification steps are arranged starting with the fastest step in order to attempt to quickly determine the payment document type without requiring lengthy, extensive analysis.

Some embodiments of the present disclosure relate to a processing tool. The tool includes a housing enclosing a processing chamber, and an input/output port configured to pass a wafer through the housing into and out of the processing chamber. A back-side macro-inspection system is arranged within the processing chamber and is configured to image a back side of the wafer. A front-side macro-inspection system is arranged within the processing chamber and is configured to image a front side of the wafer according to a first image resolution. A front-side micro-inspection system is arranged within the processing chamber and is configured to image the front side of the wafer according to a second image resolution which is higher than the first image resolution.

A marking region image is obtained by cutting out the part corresponding to a marking region from an article image obtained by imaging an article to be inspected. Then, whether or not the marking is properly provided is determined by performing a character recognition of a marking part for a marking region image. Further, an image of an article having no marking and no defect is stored as a reference image, whereas a marking periphery image obtained by removing the image of the marking part from the marking region image is compared to the reference image. By that comparison, whether or not any defect is included in the marking peripheral part of the marking region except the marking part is determined.