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.

An image processing apparatus acquires a character recognition result by performing character recognition processing on a document image, detects a character string candidate described in a predetermined format from the character recognition result, determines a likelihood of the character string candidate based on another character string existing in the vicinity of the detected character string candidate, and outputs, in a case where a plurality of character string candidates is detected, an item value based on a character string candidate having a high likelihood.

A document processing method includes receiving one or more sets of documents, and assigning each document to one or more basic clusters based on the metadata of the document. It further includes for each cluster, training a respective basic cluster model detecting one or more visual element types, and responsive to a first threshold criterion measure related to the one or more basic clusters being satisfied, generating one or more superclusters based on an attribute shared by documents comprised by the plurality of basic clusters. The method also includes training a respective supercluster model detecting the one or more element types and generating a generalized cluster from the one or more superclusters. It includes training a generalized model for the generalized cluster, receiving an input document, assigning the input document to corresponding clusters, and detecting visual elements by processing the input document by each of the corresponding models.

A system and method for identifying handwritten characters on an image using a classification model that employs a neural network. The system includes a computer having a processor and a memory device that stores data and executable code that, when executed, causes the processor to read and convert typed text on the image to machine encoded text to identify locations of the typed text on the image; identify a location on the image that includes handwritten text based on the location of predetermined typed text on the image; identify clusters of non-white pixels in the image at the location having the handwritten text; generate an individual and separate cluster image for each identified cluster; classify each cluster image using machine learning and at least one neural network to determine the likelihood that the cluster is a certain character; and determine what character each cluster image is based on the classification.

Systems and methods for distributed ledger-based check verification are disclosed. In one embodiment, a method may include a bank backend computer program: (1) receiving, from a computer application executed by an electronic device, an image of a presented check as part of an electronic check deposit process; (2) performing optical character recognition on the image of the presented check; (3) generating a text file based on the optical character recognition; (4) querying a distributed ledger in a distributed ledger network to determine whether the presented check has been presented or cleared before; (5) determining that the presented check has not been presented or cleared before; (6) processing the presented check for deposit; and (7) writing the text file for the presented check to the distributed ledger.

An information protection device includes a reception unit that receives an image of a screen displayed on a terminal connected to a certain network; an extraction unit that extracts input information for the screen from the image; a determination unit that determines whether or not the input information matches predetermined information; and a control unit that performs, when the input information is determined to be matched with the predetermined information, a control for preventing the input information from being transmitted from the network.

Character recognition processing suitable to a handwritten character area and a printed character area among character areas in a scanned image of a document is performed. Next, character recognition results for the handwritten character area and character recognition results for the printed character area are integrated and a likelihood indicating a probability of being an extraction target is calculated for a candidate character string that is an extraction candidate among the integrated character recognition results and a character string that is the item value is determined. Then, at the time of the determination, different evaluation indications are used in a case where a character originating from the handwritten character area is included in characters constituting the candidate character string and in a case where such a character is not included.

The current modular implant is particularly useful in spinal surgical procedures. The modular implant can be provided with two anchors and a central section.

The current modular implant is particularly useful in spinal surgical procedures. The modular implant can be provided with two anchors and a central section.

An electronic apparatus and a data transmission method thereof are provided. The data transmission method is adapted to the electronic apparatus including a touch screen, and the data transmission method includes the following steps. An image frame is displayed through the touch screen. A connection with another electronic apparatus placed on the touch screen is established. Position information of said another electronic apparatus on the touch screen is detected through the touch screen, to capture a partial frame from the image frame according to the position information of said another electronic apparatus. Feature information of data to be transmitted is obtained from the partial frame. The data to be transmitted is sent to said another electronic apparatus via the connection according to the feature information.