Hitachi, Ltd.

Ryosuke Odate

Hiroshi Shinjo

Yasufumi Suzuki

Masahiro Motobayashi

Yuuichi Nonaka

Nguyen Cong Kha

Provided is a model generation system for generating a text line recognition model that recognizes a text line included in a text line image, the model generation system including a processor section, in which the text line recognition model includes a visual feature extractor and a language context relation network, the processor section determines a variable of the language context relation network by acquiring text data for training and thus training the language context relation network by using the acquired text data, determines a variable of the visual feature extractor by training the text line recognition model through the use of a labeled text line image while the variable of the language context relation network is fixed, and generates the text line recognition model while the variable of the language context relation network is set to the determined variable thereof and the variable of the visual feature extractor is set to the determined variable thereof.

Model generation system and model generation method

A personal information separation unit separates a document image containing personal information into a personal information image containing the personal information and a general information image that does not contain the personal information on the basis of the document image, and transmits the general information image to a cloud server. A recognition result integration unit receives a general recognition result that is the recognition result of the character recognition processing for the general information image from the cloud server, and acquires a target recognition result that is the recognition result of the character recognition processing for the document image in accordance with the general recognition result and the information based on the personal information image.

Terminal apparatus, character recognition system, and character recognition method

A computing machine managing a template manages a document format, a template, and a cluster generated on the basis of a classification result based on a position of the document in a feature space in such a manner that they correspond to one another; determines whether a cluster to which a target document can belong is present on the basis of a position, in the feature space, of the target document in a case of detecting an opportunity of generating a template of the target document; registers the template of the target document in a case of determining that the cluster to which the target document can belong is not present; generates a cluster corresponding to the registered template; and manages a document format of the target document, the registered template, and the generated cluster in such a manner that they correspond to one another.

Computing machine and template management method

A computer that extracts an attribute which is a text string contained in an predetermined examination target document stores template information for managing a plurality of templates in which a type of attribute is defined, executes a text recognition process on image data of the document, extracts an attribute corresponding to the type of attribute using a result of the text recognition process and the plurality of templates, selects a template based on the extracted attribute, generates output information that includes the attribute extracted using the selected template and is used for the examination; determines a type of confirmation operation performed on the output information, before the examination, based on a comparison result between an evaluation value indicating credibility of the output information and a threshold, and corrects the determined type of confirmation operation based on the text string contained in the document.

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Tokyo, Japan

Ryosuke Odate