Abstract: 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.

Abstract: An image processing apparatus includes a first image generator and a second image generator. The first image generator generates a first image, including a predetermined ruled-line image and an inscription image, from a second sheet in a sheet group. The sheet group is obtained by stacking multiple sheets including a single first sheet and the second sheet. The first sheet has inscription information inscribed thereon. The second sheet has the inscription image corresponding to the inscription information transferred thereon and includes the ruled-line image. The second image generator generates a second image in which a surplus image is removed from the first image generated by the first image generator in accordance with a learning model that has learned to remove the surplus image different from the ruled-line image and the inscription image.

Abstract: An information processing apparatus includes a processor configured to acquire a plurality of scanned images obtained by scanning a bundle of paper media having a plurality of pages, extract feature information indicating a feature of a scanned image including at least a type of a corresponding document of each scanned image among the plurality of scanned images, derive, on the basis of the feature information of each of the plurality of scanned images, information that indicates relevance and increases as the relevance related to the feature information between a first scanned image and a second scanned image scanned later than the first scanned image among the plurality of scanned images, increases, correlate the information indicating the relevance with the second scanned image, and generate scanned image group information indicating the plurality of scanned images including the scanned image with which the information indicating the relevance is correlated.

Abstract: An information processing apparatus includes a processor configured to: extract a table group including a first table and at least one second table from plural tables formed as images, the first table and the at least one second table having a common characteristic in terms of a table structure, the first table including a heading row representing attributes of attribute values included in the first table and the at least one second table, the at least one second table not including the heading row; relate the first table and the at least one second table included in the table group to each other so that the first table and the at least one second table are arranged in consecutive order, by using attribute values of an attribute which is included in the heading row and which represents consecutiveness of the first table and the at least one second table; and obtain attribute values corresponding to each of the attributes included in the heading row from a table sequence, the table sequence including the first

Abstract: An information processing device includes a processor configured to perform a character recognition process on a form image containing data in a table format, and thereby acquire character strings of item names expressing items of the data in a table format and character strings of attribute values for the items, and change, in a case where a correspondence relationship between the attribute values for multiple items is undetermined, the correspondence relationship between the attribute values for the multiple items by using a height in the form image of the character string of the attribute value for which the correspondence relationship with the attribute value of another item is undetermined.

Abstract: An information processing apparatus includes a processor configured to: extract attribute values for plural attributes from an optical character recognition (OCR) result for an image in accordance with an extraction rule determined in advance, and generate an extraction result in which the extracted attribute values and the respective attributes are correlated with each other; and perform control so as to associate, in accordance with an association rule for associating an attribute value for a sub attribute with a different attribute, the attribute value for the sub attribute with the different attribute included in the extraction result, the sub attribute being an attribute for which an attribute value is extracted from the image and which supplements a content for the different attribute.

Abstract: An information processing apparatus includes a processor configured to: receive an electronic document generated while maintaining text information by an application program or an electronic document generated by reading an image with a document reading apparatus; perform type determination as to whether the received electronic document including a portion representing a text is generated by the application program or generated by the document reading apparatus; and determine based on a result of the type determination whether an optical character recognition process is to be performed on the electronic document.

Abstract: A query generation system includes a database and a processor. The database stores information to be searched, the information being associated with features having multiple types of expressions. The processor is configured to, when a character string to be used to search the database is input without constraint on a type of expression, apply a first dictionary to a character string having a first type of expression, which is included in the input character string, to generate a query for a search from the character string having the first type of expression.

Abstract: A search criterion determination system includes: at least one processor configured to extract, in a case where plural images are inputted as a query, features from elements included in each image, determine at least one feature to be provided to a search engine as an input feature based on a relation between the extracted features, and transmit information based on the input feature to the search engine.

Abstract: A query change system includes: a processor configured to correct, in a case where a first query image inputted by a user includes a contradicting part that contradicts a first condition related to a search target, the contradicting part of the first query image in accordance with the first condition to generate a second query image.

Abstract: A query modification assistance system includes: a processor configured to present, in a case where at least a part of an image used as a query that is to be provided to a search engine is designated as a target to be modified, assist information for assisting a modification according to at least one condition relating to the target, to a user.

Abstract: An information processing apparatus includes a processing unit, an extraction unit, a memory unit, a determination unit, and an assignment unit. The processing unit executes a character recognition process. The extraction unit extracts at least one area located within a predetermined range from a first area that is included in a designated image and that is designated to undergo the character recognition process. The at least one area is a second area. The memory unit stores an attribute on a per character string basis. The determination unit determines, on a basis of the attribute stored by the memory unit, an attribute corresponding to a character string recognized as one or more characters from the first area by the processing unit and a character string recognized as one or more characters from the second area by the processing unit. The assignment unit assigns the determined attribute to the designated image.

Abstract: An information processing apparatus includes a first designation unit, a second designation unit, a position acquisition unit, a memory, and an extraction unit. The first designation unit designates an extensive area from a first read image, the extensive area including an output area and an object area. The second designation unit designates the output area from the designated extensive area. The position acquisition unit acquires positional information regarding the extensive area with respect to the first read image and positional information regarding the output area with respect to the extensive area. The memory stores the positional information regarding the extensive area and the positional information regarding the output area. The extraction unit identifies a position of the extensive area in a second read image in a format identical to a format of the first read image on a basis of the positional information regarding the extensive area stored by the memory.

Abstract: An information processing device includes a processor configured to obtain a document image which shows a document; and switch a display destination of a correction screen which receives an operation of correcting a result of character recognition performed on the document image.

Abstract: An image processing device includes multiple image processing units, each trained to accommodate a different feature possibly contained in an image, a decision unit that decides a sequence of the multiple image processing units according to the features contained in an input image, and an application unit that applies the image processing units to the input image in the sequence decided by the decision unit.

Abstract: An image processing apparatus includes a layout analyzing part that executes layout analysis for image data, an extraction part that extracts a diagrammatic representation from the image data by using a result of the layout analysis, a character recognizing part that executes character recognition for a partial area having a high probability of presence of a character string in a relationship with the extracted diagrammatic representation, and an erecting direction deciding part that decides an erecting direction of the image data by using a result of the character recognition.

Abstract: An information processing apparatus includes a processor configured to acquire an image showing a document of a closed contract, recognize characters from the acquired image, calculate positions of the recognized characters in the image, determine, based on the calculated positions, whether any other characters are present in a region anterior or posterior to a date represented by the recognized characters, and output the date as an execution date of the contract if determining that no other characters are present in the anterior region and the posterior region.

Abstract: An information processing device is provided with a processor configured to acquire a document image illustrating a document, and extract target information with respect to a target character string from a region set with reference to a position of a specific type of impression included in the document image.

Abstract: An information processing apparatus includes a processor configured to acquire an image showing a document, recognize characters from the acquired image, generate a connected character string by connecting sequences of the recognized characters at line breaks in a text, and extract a portion corresponding to specified information from the generated connected character string.

Abstract: A learning device includes a processor configured to select a trained data set from multiple trained data sets that are respectively used for machine learning for multiple past cases. The multiple trained data sets each includes input data, correct data, and a trained model. The selected trained data set is similar to a learning data set including input data and correct data to be used for machine learning for a new case. The processor is also configured to perform machine learning by using the input data and the correct data of the selected trained data set and the input data and the correct data of the learning data set.