A method can include identifying at least one radical of a plurality of East Asian characters based at least in part on stroke information received via a touch-sensitive display; ranking individual East Asian characters of the plurality of East Asian characters according to their individual frequencies in a corpus; and rendering at least a portion of the ranked individual East Asian characters to the touch-sensitive display.

The present disclosure relates to a data processing method and apparatus, and an intelligent interactive device. The data processing method is performed by a display having a touch function. The method include: obtaining a writing track point position when a writing pen writes on the display, and an inclination angle of the writing pen relative to the display during writing; obtaining a touch track point position of a user on the display at a current moment obtaining a holding parameter for holding the writing pen; determining a shielding area for a touch at the current moment according to the holding parameter, the inclination angle and the writing track point position; and when touch track point position is located in the shielding area, not displaying a track of the touch track point position on the display.

The present disclosure discloses a method for training an adversarial network model, a method for building a character library, an electronic device and a storage medium, which relate to a field of artificial intelligence, in particular to a field of computer vision and deep learning technologies, and are applicable in a scene of image processing and image recognition. The method for training includes: generating a new character by using the generation model based on a stroke character sample and a line character sample; discriminating a reality of the generated new character by using the discrimination model; calculating a basic loss based on the new character and a discrimination result; calculating a track consistency loss based on a track consistency between the line character sample and the new character; and adjusting a parameter of the generation model according to the basic loss and the track consistency loss.

Methods, systems, and devices are described herein for rendering variable opacity ink strokes on a touchscreen device. In one aspect, a method for rendering variable opacity ink strokes includes receiving a touch input including a stroke associated with variable opacity on a touchscreen of a device. The stroke may be converted to at least one Bezier curve. The at least one Bezier curve may be smoothed and dividing into a plurality of segments, wherein the plurality of segments includes arc segments, line segments, or a combination thereof. A plurality of stamps may be generated corresponding to the plurality of segments. The plurality of stamps may be rendered on the touchscreen of the device to represent the stroke.

A method includes tracking handwritten letter input with a human interface device, inking the handwritten letter input, identifying the letters and displaying at least one suggested word in-line with the inking. The suggested word is based on the letters identified.

The disclosure discloses an electronic writing device comprising an image data specifying portion and a transmission control portion. The image data specifying portion configured to, in a case where a writing determining portion determines that the writing action has been performed, and further a entry determining portion determines that either one of a first storage instruction entry column included in a first page and a second storage instruction entry column included in a second page has been filled in, specify the image data in response to an entry mode in the either one of the storage instruction entry columns as a storage target in an external storage device. The transmission control portion controls a communication device triggered by the entry determining portion detecting entry in the storage instruction entry column to perform transmission for storing the image data specified as the storage target.

A method implemented by a transmission device to communicate with multiple reception devices that respectively share a drawing area with the transmission device is provided. The transmission device transmits to the multiple reception devices vector-data ink data representative of traces of input operation detected by an input sensor of the transmission device. The method includes: (a) an ink data generation step of generating fragmented data of a stroke object, wherein the stroke object contains multiple point objects to represent a trace formed by a pointer, the fragmented data being generated per defined unit T, and generating a drawing style object; (b) a message formation step of generating messages including the drawing style object and the fragmented data; and (c) a transmission step of transmitting the messages.

Techniques are provided for generating a digital image of simulated handwriting using an encoder-decoder neural network trained on images of natural handwriting samples. The simulated handwriting image can be generated based on a style of a handwriting sample and a variable length coded text input. The style represents visually distinctive characteristics of the handwriting sample, such as the shape, size, slope, and spacing of the letters, characters, or other markings in the handwriting sample. The resulting simulated handwriting image can include the text input rendered in the style of the handwriting sample. The distinctive visual appearance of the letters or words in the simulated handwriting image mimics the visual appearance of the letters or words in the handwriting sample image, whether the letters or words in the simulated handwriting image are the same as in the handwriting sample image or different from those in the handwriting sample image.

Ideogram character analysis includes partitioning an original ideogram character into strokes, and mapping each stroke to a corresponding stroke identifier (id) to create an original stroke id sequence that includes stroke identifiers. A candidate ideogram character that has a candidate stroke id sequence within a threshold distance to the original stroke id sequence is selected. One or more embodiments may create new phrase by replacing the original ideogram character with the candidate ideogram character in a search phrase. One or more embodiments perform a search using the search phrase and the new phrase to obtain a result, and present the result. One or more embodiments may replace an original ideogram character in a character recognized document with the candidate ideogram character and store the character recognized document.

Improved accuracy and user interaction efficiency for selecting a grouping of digital strokes is provided. In response to receiving an indication of a selection input on or in proximity to a digital stroke, a determination is made as to whether the digital stroke is part of an existing group of digital strokes. When the digital stroke is not part of an existing group, an analysis of the digital stroke and other digital strokes within a calculated boundary is performed for determining which strokes should be included in a stroke grouping. A stroke grouping is generated based on the determination. Accordingly, in response to the selection input on or in proximity to the digital stroke, the selection is expanded to the stroke grouping, thus improving the accuracy of the selection gesture and improving computer efficiency.