An electronic device is provided. The electronic device includes a display including at least one display panel, a memory, and a processor operatively connected to the display module and the memory. The memory stores instructions causing the processor to generate content including one or more pages and at least one object being displayed on the one or more pages based on a user input, display an editing area for editing the content by using the display module, and simultaneously apply the at least one object being generated or changed based on the user input to at least one partial area of a first page and at least one partial area of a second page corresponding to the editing area in case that the at least partial areas of the first page and the second page among the one or more pages are simultaneously displayed in the editing area.

According to certain embodiments, an electronic device may include a display, a memory, and a processor operatively connected to the display and the memory. The processor may be configured to, while receiving user's touch input in a handwriting area of the display, the user's touch input comprising successive input stokes: output the successive input strokes in the handwriting area on the display; determine a first stroke group including some of the successive input strokes, to determine a first character corresponding to the first stroke group, to output the first stroke group in an output area adjacent to the handwriting area on the display, to determine a second stroke group including at least another input stroke received after the some of the successive input strokes, to determine a second character corresponding to the second stroke group, and to output the second stroke group in the output area, move the first stroke group to on one side of the second stroke group on the display.

An ink file output method is provided, which includes: generating M (M is an integer of 1 or more) pieces of stroke data SD on the basis of event data generated as M input devices move, respectively; generating N (N is an integer of 1 or more and M or less) kinds of logical names LN (metadata) identifying the M number of input devices; generating a metadata block associating the M pieces of stroke data SD with the N kinds of logical names LN; and writing the M pieces of stroke data SD and the metadata block to an ink file.

A display apparatus includes circuitry that receives a plurality of stroke data input to a touch panel by an input device and displays the plurality of stroke data. The plurality of stroke data includes first stroke data and second stroke data input after the first stroke data. The circuitry sets a determination area differently depending on whether an elapsed time from separation of the input device from the touch panel after input of the first stroke data exceeds a threshold. The determination area is for determining whether to include the second stroke data in a recognition group including the first stroke data. The circuitry performs character recognition on the recognition group and displays, on a screen, a result of the character recognition.

An information processing apparatus includes a touchscreen display that detects, as a detection position, contact of an object on a screen of the touchscreen display, and a processor coupled to the touchscreen display, the processor being programmed to acquire a plurality of first detection positions on the screen, calculate a movement parameter representing movement of the object during detection of the plurality of first detection positions, and select, based on the movement parameter, a first smoothing algorithm or a second smoothing algorithm, the first smoothing algorithm and the second smoothing algorithm differing from each other in a processing delay between detecting a particular detection position and outputting a smoothed detection position corresponding to that particular detecting position, wherein the touchscreen display displays a movement locus on the screen based on the selected smoothing algorithm.

A method for recognizing gesture strokes in user input, comprising: receiving data generated based on the user input, the data representing a stroke and comprising a plurality of ink points in a rectangular coordinate space and a plurality of timestamps associated respectively with the plurality of ink points; segmenting the plurality of ink points into a plurality of segments each corresponding to a respective sub-stroke of the stroke and comprising a respective subset of the plurality of ink points; generating a plurality of feature vectors based respectively on the plurality of segments; and applying the plurality of feature vectors as an input sequence representing the stroke to a trained stroke classifier to generate a vector of probabilities including a probability that the stroke is a non-gesture stroke and a probability that the stroke is a given gesture stroke of a set of gesture strokes.

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.

One variation of a method includes: accessing a handwriting sample comprising a set of user glyphs handwritten by a user; for each character in a set of characters, identifying a subset of user glyphs corresponding to the character in the handwriting sample, characterizing variability of a set of spatial features across the subset of user glyphs, and storing variability of the set of spatial features across the subset of user glyphs in a character container corresponding to the character; and compiling the set of character containers into a handwriting model for the user. The method further includes: accessing a text string comprising a combination of characters in the set of characters; for each instance of each character in the text string, inserting a set of variability parameters into the handwriting model to generate a synthetic glyph representing the character; and assembling the set of synthetic glyphs into a print file.

A method for generating an electronic signature for an electronic document is implemented by an electronic device that is in communication with a stylus pen and a handwriting input device that includes a writing area. The method includes: initiating a signature input procedure associated with the electronic document; obtaining a signature pattern and an experienced pressure dataset recorded by the handwriting input device during the signature input procedure, and obtaining a fingerprint dataset and an applied pressure dataset recorded by the stylus pen during the signature input procedure; determining whether the experienced pressure dataset corresponds with the applied pressure dataset; and in the case where the experienced pressure dataset corresponds with the applied pressure dataset, generating a signed electronic document by presenting the signature pattern on a part of the electronic document and embedding the fingerprint dataset in the signature pattern.

Embodiments of the present disclosure include a method that obtains a digital image. The method includes extracting a word block from the digital image. The method includes processing the word block by evaluating a value of the word block against a dictionary. The method includes outputting a prediction equal to a common word in the dictionary when a confidence factor is greater than a predetermined threshold. The method includes processing the word block and assigning a descriptor to the word block corresponding to a property of the word block. The method includes processing the word block using the descriptor to prioritize evaluation of the word block. The method includes concatenating a first output and a second output. The method includes predicting a value of the word block.