Provided are a writing trajectory processing method, a touch control device, a writing system and a storage medium. The writing trajectory processing method includes: obtaining writing data of an original writing trajectory, wherein the writing data comprise a plurality of first trajectory points and a plurality of first contact areas corresponding to the plurality of first trajectory points one to one; smoothing the writing data to obtain smoothed writing data; wherein the smoothed writing data comprise a plurality of second trajectory points and a plurality of second contact areas corresponding to the plurality of second trajectory points one to one; determining a plurality of trajectory line widths corresponding to the plurality of second trajectory points one to one based on the plurality of second contact areas; and, displaying the writing trajectory based on the plurality of second trajectory points and the plurality of trajectory line widths.

A method for creating handwriting content is provided. The method includes displaying handwriting letters being input, extracting at least one candidate handwriting word stored in advance in response to the input handwriting letters, displaying the extracted at least one candidate handwriting word, and replacing the input handwriting letters with a candidate handwriting word selected from among the displayed at least one candidate handwriting word.

A method for creating handwriting content is provided. The method includes displaying handwriting letters being input, extracting at least one candidate handwriting word stored in advance in response to the input handwriting letters, displaying the extracted at least one candidate handwriting word, and replacing the input handwriting letters with a candidate handwriting word selected from among the displayed at least one candidate handwriting word.

Disclosed are a method for displaying handwritten input content, an electronic device and a non-volatile computer readable storage medium. The method includes: acquiring handwritten input content; modifying image stored in a display cache based on the handwritten input content, and synchronizing a modified image to a display screen; and drawing the handwritten input content in a custom graphic layer located above other graphic layers in a system cache, performing a graphic layer merging operation for the other graphic layers and the custom graphic layer, and replacing the modified image stored in the display cache in response to a result of the operation.

According to the present disclosure, a handwriting image and a background image are combined, thereby generating a combined image, a correct answer label image is generated based on the handwriting image, and the generated combined image and the generated correct answer label image are used as learning data for training a neural network.

The invention concerns a method implemented by a device for displaying strokes of digital ink in a display area and for performing text line extraction to extract text lines from the strokes. In particular, the text line extraction may involve slicing the display area into strips, ordering for each strip the strokes into ordered lists which form collectively a first set of ordered lists, forming for each strip a second set of ordered lists by filtering out from the ordered lists of the first set strokes which are below a given size threshold, and performing a neural net analysis based on said first and second sets to determine for each stroke a respective text line to which it belongs.

Certain embodiments involve automatically controlling modifications to typeface designs. For example, a typeface design application provides a design interface for modifying a design of an input character from a typeface. The typeface design application accesses a machine-learning model that is trained, using multiple training typefaces, to recognize the input character as a reference character. The typeface design application receives, via the design interface, an input modifying the design of the input character. The typeface design application determines that the machine-learning model cannot match the reference character to the input character having a modified design. The typeface design application outputs, via the design interface, an indicator that the input character having the modified design is not recognized as the reference character.

Method, computer readable medium, and apparatus of recognizing character zone in a digital document. In an embodiment, the method includes classifying a segment of the digital document as including text, calculating at least one parameter value associated with the classified segment of the digital document, determining, based on the calculated at least one parameter value, a zonal parameter value, classifying the segment of the digital document as a handwritten text zone or as a printed text zone based on the determined zonal parameter value and a threshold value, the threshold value being based on a selection of an intersection of a handwritten text distribution profile and a printed text distribution profile, each of the handwritten text distribution profile and the printed text distribution profile being associated with a zonal parameter corresponding to the determined zonal parameter value, and generating, based on the classifying, a modified version of the digital document.

The subject matter of this specification can be implemented in, among other things, a method to display a graphical user interface (GUI) of a graphics application, receive a selection of a first granular medium tool (GMT), receive a first input associated with the first GMT, the first input comprising one or more first input values characterizing placement of a first amount of a granular medium (GM) on a virtual drawing canvas, access one or more settings of the first GMT, determine, using the one or more first input values and the one or more settings, a first spatial distribution of the first amount of the GM on the virtual drawing canvas, and display, on the GUI, a first image corresponding to the first spatial distribution of the first amount of the GM.

The subject matter of this specification can be implemented in, among other things, a method to display a graphical user interface (GUI) of a graphics application, receive a selection of a first granular medium tool (GMT), receive a first input associated with the first GMT, the first input comprising one or more first input values characterizing placement of a first amount of a granular medium (GM) on a virtual drawing canvas, access one or more settings of the first GMT, determine, using the one or more first input values and the one or more settings, a first spatial distribution of the first amount of the GM on the virtual drawing canvas, and display, on the GUI, a first image corresponding to the first spatial distribution of the first amount of the GM.