A display apparatus includes circuitry to receive a handwriting input within a frame of a line displayed on a display. The handwriting input is corresponding to a part of a character string including one or more characters. The circuitry obtains, based on the handwriting input, a character size. The circuitry expands the frame in a direction of the handwriting input, based on the character size and space currently being left between the handwriting input and a side of the frame in the direction of the handwriting input to receive another handwriting input.

Technology is described herein for parsing an ink document having a plurality of ink strokes. The technology performs stroke-level processing on the plurality of ink strokes to produce stroke-level information, the stroke-level information identifying at least one characteristic associated with each ink stroke. The technology also performs object-level processing on individual objects within the ink document to produce object-level information, the object-level information identifying one or more groupings of ink strokes in the ink document. The technology then parses the ink document into constituent parts based on the stroke-level information and the object-level information. In some implementations, the technology converts the ink stroke data into an ink image. The stroke-level processing and/or the object-level processing may operate on the ink image using one or more neural networks. More specifically the stroke-level processing can classify pixels in the input image, while the object-level processing can identify bounding boxes containing possible objects.

A method and an electronic device for inputting handwriting character are provided. The electronic device comprises a touch screen, a memory, and a processor. The processor is configured to perform the functions of the method. The method comprises steps of: adding a handwriting input on the touch screen; detecting a position of an initial point of the handwriting input; determining an input area for the handwriting input among the plurality of input areas of the touch screen based on the position of the initial point of the handwriting input; determining an operation of the handwriting input based on the position of the initial point of the handwriting input and performing the determined operation; and upon completion of the handwriting input, recognizing the input as a character and displaying the recognized character in the determined input area on the touch screen.

The present application discloses a method and apparatus for digitizing paper data, an electronic device and a storage medium, relating to fields of image processing and cloud computing, in particular to image recognition technologies. The method includes: determining a standard template according to an image to be processed and mark information corresponding to the image to be processed, wherein the image to be processed is obtained by photographing paper data and the standard template is used to represent a reference coordinate system of the image to be processed; recognizing graphic handwriting information comprised in the image to be processed; and generating digitized data corresponding to the image to be processed according to the graphic handwriting information and the standard template.

The invention provides an offline handwriting individual recognition system and method based on two-dimensional dynamic features. The method comprises: obtaining a first handwriting image corresponding to suspicious handwriting and second handwriting images corresponding to a plurality of sample handwriting; pre-processing the first handwriting image and the second handwriting images to obtain a first pre-processed image and second pre-processed images; extracting a first skeleton image and second skeleton images from the first pre-processed image and the second pre-processed images; obtaining a first writing trajectory and second writing trajectories according to the first skeleton image and the second skeleton images; extracting first dynamic features and second dynamic features according to the first writing trajectory and the second writing trajectories; performing processing to obtain a correlation coefficient between the suspicious handwriting and the sample handwriting, and performing processing to obtain an individual recognition result according to the correlation coefficient.

An electronic device is provided. The electronic device includes a display, an input sensing circuit capable of acquiring a handwriting input inputted through the display, and at least one processor electrically connected to the display and the input sensing circuit, wherein the at least one processor uses the input sensing circuit to recognize written characters generated by means of the handwriting input inputted through the display, determines the slope of the recognized written characters, horizontally aligns the recognized written characters on the basis of the determined slope, and controls the display so that the recognized written characters and the horizontally aligned written characters are overlapped and displayed.

An input display device includes a display unit that displays a screen for handwriting input on an input screen including a plurality of input fields, a stroke data processing unit that groups stroke data which is input to a capture screen by handwriting into stroke data representing characters to generate grouped stroke data as grouping stroke data, a character recognition unit that conducts character recognition on the grouping stroke data to convert the grouping stroke data into at least one recognized character, and a control processing unit that displays the at least one recognized character at the plurality of input fields of the input screen correlated with positions, at which handwriting input was performed, in the screen for handwriting input.

The disclosure provides an augmented reality system (200) including an input unit (204), a text recognition unit (206), a natural language processing unit (208), a positioning unit (210), and an output unit (212). The input unit (204) captures an image. The text recognition unit (206) identifies an information on a surface depicted in the image and generates an input data based on the information. The natural language processing unit (208 ) determines a context of the input data and generates at least one assistive information based on the context. The positioning unit (210) determines one or more spatial attributes based on the image and generates a positioning information based on the spatial attributes. The output unit (212) displays the assistive information based on the positioning information.

Techniques involving gestures and other functionality are described. In one or more implementations, the techniques describe gestures that are usable to provide inputs to a computing device. A variety of different gestures are contemplated, including an activate gesture, a fill gesture, a level gesture, a jump gesture, a checkmark gesture, a strikethrough gesture, an erase gesture, a circle gesture, a prioritize gesture, and an application tray gesture.

To prevent an inconvenience from being generated when a user registers a graphic that the user wants to register. A graphic input device obtains registered graphic data indicating a graphic entered by a user and related information associated with the graphic, calculates similarity between the registered graphic data and one of items of graphic data registered in a dictionary, determines whether the entered graphic and a graphic indicated by the item of graphic data is similar to each other based on the calculated similarity, and, in a case where the entered graphic and the graphic indicated by the item of graphic data is not similar to each other, registers the registered graphic data and the related information in the dictionary in association with each other.