A method for testing medical data is provided. Each medical datum includes a plurality of information units and a plurality of separators, and the method includes the following steps: a. matching the medical data against a standard library including a plurality of patterns, a matching expression being: [\s\S][number/sequence/relation]&[\b|\B] (S101); and b. determining, based on a matching result of the step a, whether the medical datum is qualified (S102). A standardized standard library is first established, a matching result is obtained by matching the medical datum and the standard library for a non-initial boundary, an initial boundary, an information quantity, information sequences, a semantic relationship quantity, a character boundary, and a non-character boundary, and whether the medical datum meets a requirement is further determined according to the matching result.

Keypoint extraction is done for extracting keypoints from images of documents. Based on different keypoint extraction approaches used by existing keypoint extraction mechanisms, number of keypoints extracted and related parameters vary. Disclosed herein is a method and system for keypoint extraction from images of one or more documents. In this method, a reference image and a test image of a document are collected as input. During the keypoint extraction, based on types of characters present in words extracted from the document images, a plurality of words are extracted. Further, all connected components in each of the extracted words are identified. Further, it is decided whether keypoints are to be searched in a first component or in a last component of all the identified connected components, and accordingly searches and extracts at least four of the keypoints from the test image and the corresponding four keypoints from the reference image.

A system can include a circuit board processing system configured to process a panel having an array of units, with each unit including a surface, and the panel including a surface. The system can further include a module processing system configured to produce packaged modules from the array of units, such that each packaged module includes a surface. The system can further include a character recognition system configured to obtain a digital image of a character imprinted on each of some or all of the surface of the panel, the surface of each unit, and the surface of each packaged module. The character recognition system can be further configured to perform a pattern matching process for the digital image of the character, with the pattern matching process including a principal component analysis to extract a principal characteristic, and linear and quadratic Bayesian discriminant functions to classify and find a correct character that corresponds to the principal characteristic.

The invention relates to a device for assessing a match between job descriptions and resumes. The device comprises: a memory for storing, a first database comprising one or more job description documents, each job description document defining a description of a job, and a second database comprising one or more resume documents, each resume document defining a resume for applying to a job description, a receiver for receiving a matching request from a user, a first machine learning engine for determining a correlation between the matching request and a keyword-based data structure, the keyword-based data structure defining, for each document of the first database and the second database, one or more predefined keywords that have been found in the document, the first machine learning engine implementing a classification algorithm, and at least one processor for generating a matching score based on the strength of the correlation.

The invention also to a system and a method thereof.

Aspects of the present disclosure involve a system and a method for performing operations comprising: capturing, by a client device implementing a messaging application, an image; receiving, from a server, an identification of an augmented reality experience associated with the image, the server identifying the augmented reality experience by assigning visual words to features of the image and searching a visual search database to identify a plurality of marker images, and the server retrieving the augmented reality experience associated with a given one of the plurality of marker images; automatically, in response to capturing the image, displaying one or more graphical elements of the identified augmented reality experience; and receiving input from the user interacting with the one or more graphical elements.

A display apparatus includes circuitry that displays a table on a screen. The circuitry acquires, from a memory, an attribute associated with the table; receives handwritten data input to the table by a user operation; and converts the handwritten data into a character string so as to have an appearance in accordance with the attribute associated with the table.

A document creation support apparatus comprising at least one processor, wherein the processor is configured to: acquire an image and a character string related to the image; extract at least one feature region included in the image; specify a specific region that is a region corresponding to a phrase included in the character string, in the feature region; and present information for supporting creation of a document including the character string based on a result of the specifying.

Aspects of the present disclosure involve a system and a method for performing operations comprising: capturing, by a client device implementing a messaging application, an image; receiving, from a server, an identification of an augmented reality experience associated with the image, the server identifying the augmented reality experience by assigning visual words to features of the image and searching a visual search database to identify a plurality of marker images, and the server retrieving the augmented reality experience associated with a given one of the plurality of marker images; automatically, in response to capturing the image, displaying one or more graphical elements of the identified augmented reality experience; and receiving input from the user interacting with the one or more graphical elements.

Estimating a material property parameter of fabric involves receiving information including a three-dimensional (3D) contour shape of fabric placed over a 3D geometric object, estimating a material property parameter of the fabric used for representing drape shapes of 3D clothes made by the fabric by applying the information to a trained artificial neural network, and providing the material property parameter of the fabric.

Document classification techniques are disclosed that convert text content extracted from documents into graphical images and apply image classification techniques to the images. A graphical image of the text (such as a bar-code) may be generated and applied to improve the performance of document classification, bypassing NLP and utilizing more efficient localized OCR than in conventional approaches.