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 present disclosure is directed to systems, methods, and devices that enable the revising of Optical Character Recognition (OCR) data by indexing and displaying potential error locations within the OCR data. The primary method for revising the OCR data includes a terminal device indexing, displaying, receiving editing operations for, and editing the OCR data. The terminal device is configured to revise OCR data and includes an OCR review element, which, in some embodiments, is a software stored on a non-transitory, computer-readable medium, that is executed by a processing unit to cause the terminal device to index, display, receive editing operations for, and edit the OCR data.

A method for cutting out, from a gray-scale image generated by capturing an image of a character string, each character in the character string for recognition, includes a first step of repeating projection processing for projecting a highest or lowest gray level in a line along a direction crossing the character string in the gray-scale image, onto an axis along the character string, with the lowest gray level selected when a character in the gray-scale image is darker than a background, the highest gray level selected when the character in the gray-scale image is brighter than the background, and a projection target position moved along the character string.

The present invention provides a portable optical reader, an optical reading method using the portable optical reader and a computer program capable of detecting a high possibility of a reading error and notifying a user of a possibility of a reading error. A character string as a reading target is imaged and a character string is recognized based on the captured image. A plurality of reading formats defining an attribute of the character string is stored, and a first reading format matched with the recognized character string among a plurality of stored reading format is searched. Among the plurality of stored reading formats, a second reading format in which a character string matched with the first reading format as a partial character string is searched. Based on the search result, a possibility of a reading error regarding the recognized character string is notified.

Methods and apparatus to extract text from imaged documents are disclosed. Example methods include segmenting an image of a document into localized sub-images corresponding to individual characters in the document. The example methods further include grouping respective ones of the sub-images into a cluster based on a visual correlation of the respective ones of the sub-images to a reference sub-image. The visual correlation between the reference sub-image and the respective ones of the sub-images grouped into the cluster exceeding a correlation threshold. The example methods also include identifying a designated character for the cluster based on the sub-images grouped into the cluster. The example methods further include associating the designated character with locations in the image of the document associated with the respective ones of the sub-images grouped into the cluster.

Financial transaction card data can be entered by providing a picture of the card to a server programmed with a text recognition algorithm. The server can perform text recognition on the image at the same time that a consumer enters additional required data, such as a zip code. The server can perform as much text recognition processing as possible in the time the consumer is entering the additional data. Once the additional data is received, a signal can be provided to the server indicating that the user is now waiting for results of the text recognition process, meaning the server should provide them as quickly as possible. Once text recognition results are received, a consumer can make a selection to identify a character which the text recognition algorithm did not sufficiently identify. Based on known account number constraints, the user selection can cause multiple characters to be identified.

Methods and apparatus to extract text from imaged documents are disclosed. Example methods include segmenting an image of a document into localized sub-images corresponding to individual characters in the document. The example methods further include grouping respective ones of the sub-images into a cluster based on a visual correlation of the respective ones of the sub-images to a reference sub-image. The visual correlation between the reference sub-image and the respective ones of the sub-images grouped into the cluster exceeding a correlation threshold. The example methods also include identifying a designated character for the cluster based on the sub-images grouped into the cluster. The example methods further include associating the designated character with locations in the image of the document associated with the respective ones of the sub-images grouped into the cluster.

The present disclosure is directed to systems, methods, and devices that enable the revising of Optical Character Recognition (OCR) data by indexing and displaying potential error locations within the OCR data. The primary method for revising the OCR data includes a terminal device indexing, displaying, receiving editing operations for, and editing the OCR data. The terminal device is configured to revise OCR data and includes an OCR review element, which, in some embodiments, is a software stored on a non-transitory, computer-readable medium, that is executed by a processing unit to cause the terminal device to index, display, receive editing operations for, and edit the OCR data.

Systems and methods for augmented-reality tutoring can utilize optical character recognition, natural language processing, and/or augmented-reality rendering for providing real-time notifications for completing a determined task. The systems and methods can include utilizing one or more machine-learned models trained for quantitative reasoning and can include providing a plurality of different user interface elements at different times.

An imaging part obtains an image of a read object, and a character string recognizing part recognizes a character string in the image. An output format setting part sets one or more output formats of a character string to be read from the image and to be output. A character extracting part obtains a character string for output, at a portion matching any of the one or more output formats among the recognized character string. At this time, a notifying part notifies a possibility of misreading in a case where the character string for output having characters less than a notification threshold number is obtained.