WO2020102937A1

WO2020102937A1 - Handwriting processing method, handwriting input device and computer readable storage medium

Info

Publication number: WO2020102937A1
Application number: PCT/CN2018/116185
Authority: WO
Inventors: 张政
Original assignee: 深圳市柔宇科技有限公司
Priority date: 2018-11-19
Filing date: 2018-11-19
Publication date: 2020-05-28
Also published as: CN112639700A

Abstract

The present application discloses a handwriting processing method, which is applied to a handwriting input device. The handwriting processing method comprises the following steps: acquiring handwriting attribute information about each data point in each stroke; selecting a certain data point in each stroke for marking, and marking same as a marked data point; and deleting, from the handwriting attribute information about data points other than the marked data point in each stroke, handwriting attribute information that is the same as the handwriting attribute information about the marked data point. The present application further discloses a handwriting input device (100) and a computer readable storage medium. The present application is able to perform lossless compression on handwriting data, thereby reducing the storage space and transmission time of the handwriting data.

Description

Handwriting handwriting processing method, handwriting input device and computer readable storage medium

Technical field

The present application relates to the technical field of data processing, and in particular, to a method for processing handwriting, a handwriting input device, and a computer-readable storage medium.

Background technique

At present, in order to realize the digital storage of text content, it is common to use handwriting input on the text content on the tablet or touch device, and recognize the handwritten input content and send the recognized handwriting to other terminal devices (such as Mobile phone) to achieve digital storage and data sharing of handwritten input content.

However, when the content information input by handwriting is relatively large, it will cause problems such as a large amount of stored data and a long time for data transmission.

Summary of the invention

Embodiments of the present application disclose a handwriting handwriting processing method, a handwriting input device, and a computer-readable storage medium, which can compress handwriting data, thereby reducing the storage space and transmission time of handwriting data, and improving user experience.

A method for processing handwriting disclosed in an embodiment of the present application is applied to a handwriting input device. The method for processing handwriting includes the following steps:

Obtain the handwriting attribute information of each data point in each stroke;

Select a data point in each stroke to mark and mark it as a marked data point;

Delete the handwriting attribute information that is the same as the handwriting attribute information of the marked data point in the handwriting attribute information of the data points other than the marked data point in each stroke.

A handwriting input device disclosed in an embodiment of the present application includes a memory and a processor. The memory stores a corresponding program of a handwriting process method, and the processor runs the corresponding program of the handwriting process method to perform the following operations:

Obtain the handwriting attribute information of each data point in each stroke;

Select a data point in each stroke to mark and mark it as a marked data point;

A computer-readable storage medium disclosed in an embodiment of the present application, a program corresponding to a handwriting process method is stored on the computer-readable storage medium, and the program corresponding to the handwriting process method is executed by a processor to implement the above-mentioned handwriting Handwriting processing method steps.

The handwriting process method, handwriting input device and computer-readable storage medium of the present application, because the handwriting data is grouped according to strokes, and a certain data point in each stroke is selected for marking, and then each stroke is divided The handwriting attribute information of the data points other than the data point is the same as the handwriting attribute information of the marked data point, thereby achieving lossless compression of the handwriting data, reducing the storage space and transmission time of the handwriting data To improve the user experience.

BRIEF DESCRIPTION

In order to more clearly explain the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without paying any creative work, other drawings can be obtained based on these drawings.

FIG. 1 is a flowchart of a method for processing handwriting in an embodiment of the present application.

FIG. 2 is a schematic diagram of handwriting data marks and handwriting attribute information in an embodiment of the present application.

FIG. 3 is a schematic diagram of handwriting attribute information included in handwriting data compressed in an embodiment of the present application.

4 is a flowchart of a method for processing handwriting in another embodiment of the present application.

FIG. 5 is a flowchart of a method for processing handwriting in yet another embodiment of the present application.

6 is a flowchart of a method for processing handwriting in another embodiment of the present application.

7 is a schematic diagram of handwriting data after being compressed in another embodiment of the present application.

FIG. 8 is a structural block diagram of a handwriting input device in an embodiment of this application.

detailed description

The technical solutions in the embodiments of the present application will be described clearly and completely in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments. Based on the embodiments in this application, all other embodiments obtained by a person of ordinary skill in the art without making creative work fall within the scope of protection of this application.

It should be noted that the terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. The singular forms "a", "said" and "the" used in the embodiments of the present invention and the appended claims are also intended to include the majority forms unless the context clearly indicates other meanings. It should also be understood that the term "and / or" as used herein refers to and includes any or all possible combinations of one or more associated listed items.

Please refer to FIG. 1, which is a flowchart of a method for processing handwriting disclosed in an embodiment of the present application. The method for processing handwriting is applied to a handwriting input device. As shown in FIG. 1, the method for processing handwriting includes the following steps:

Step S11: Obtain the handwriting attribute information of each data point in each stroke.

Wherein, the stroke data may be obtained directly through handwriting input, or may be obtained through network reception. For example, when the handwriting input device is a tablet, the corresponding stroke data can be obtained by making handwriting income on the touch screen; when the handwriting input device is a mobile phone or tablet, it can be connected to the tablet through a wireless network (such as Bluetooth) Connect wirelessly and receive handwriting data sent by the tablet through the wireless network.

In this embodiment, the stroke data includes several data points, and each data point carries corresponding handwriting attribute information. Wherein, the handwriting attribute information includes basic attribute information and additional attribute information. The basic attribute information is coordinate information. The accessory attribute information is at least one of pressure information, color information, width information, transparency information, and time information. In other embodiments, the handwriting attribute information may further include other attribute information, such as blooming effect attribute information, which is not limited herein.

The coordinate information represents the position of each data point. Specifically, the coordinate information includes X-axis and Y-axis data. Therefore, the position of each data point on the display screen can be determined according to the coordinate information of each data point.

The pressure information represents the pressure value of each data point, that is, the pressure value generated by the stylus at each position on the tablet during handwriting input, wherein the pressure value affects the display effect of the handwriting.

The color information represents the color of each data point. For example, the color of the handwriting may be red, yellow, or green.

The width information represents the width of each data point. For example, the width of the handwriting may be 1 mm, 0.5 mm, etc. In some embodiments, the width information may be related to pressure information.

The transparency information represents the transparency of each data point. For example, the transparency may be 90% or 95%.

The time information represents the time at which each data point was generated. Wherein, the time can be obtained by the system clock of the handwriting input device. For example, when the time when the first data point is generated is 10:01, the time is used as the time information of the data point. Therefore, the time information of each data point is different, and the order in which multiple data points are generated can be determined by the time information.

In step S12, a certain data point in each stroke is selected for marking and recorded as a marked data point.

Please refer to FIG. 2 again, because the content corresponding to the handwriting can be embodied by strokes, that is, no matter what content (such as text or images), it is composed of several strokes, for example, when the handwriting corresponds When the content is "people", it includes two strokes, one stroke and one stroke. The handwriting can be divided into two groups according to the stroke.

The selecting a certain data point in each stroke for marking includes: adding a marker to mark the selected data point in each stroke. For example, add a first marker to a data point in the first stroke, and add a second marker to a data point in the second stroke. Wherein, the marker includes at least one of numbers, letters, numbers and letter combinations.

In this embodiment, the marker is a number, and the number is a positive integer greater than one. Among them, the number represents the sequence number of the stroke. For example, when the stroke is the first stroke, the marker added to a data point in the stroke is 1, and when the stroke is the second stroke, the marker added to a data point in the stroke is 2, to And so on, until a certain data point in the handwriting data corresponding to all strokes is marked.

In one embodiment, the marked data point is the starting data point in each stroke.

Step S13: Delete the handwriting attribute information that is the same as the handwriting attribute information of the marked data point in the handwriting attribute information of the data points other than the marked data point in each stroke.

Since each set of handwriting data, each data point will have the same handwriting attribute information. If all the handwriting attribute information of each data point is stored, it will occupy a larger storage space, and will be other than the marked data point. The deletion of the handwriting attribute information with the same data points as the marked data points can save a lot of storage space without affecting the original characteristic information of the handwriting data, that is, the lossless compression of the handwriting data is realized.

Thus, the final saved note data will only include the handwriting attribute information of the marked data points of each stroke data and the handwriting attribute information of other data points other than the marked data points that are different from the handwritten attribute information of the marked data points .

In some embodiments, the handwriting attribute information in the handwriting attribute information of the data points other than the marked data point in each stroke data that is the same as the handwriting attribute information of the marked data point is specifically: Delete the handwriting attribute information that is the same as the additional attribute information of the marked data point in the additional attribute information of the data points other than the marked data point in each stroke data.

Please refer to FIG. 3 again. In this embodiment, the additional attribute information that is the same as the marked data point includes at least one of color information, width information, and transparency information. Because the handwriting data is grouped according to strokes, the color, width and transparency of the same stroke are the same. Therefore, the color information, width information and transparency information of each data point in each stroke data can be deleted and only retained It is sufficient to mark the additional attribute information of the data point, so that a larger storage space can be saved.

It should be noted that during the writing process, the color, width and transparency of the handwriting are preset. Therefore, when the pen is drawn, the color, width and transparency are determined. If you want to make changes, you need to stop the pen to set After the pen is fixed, the pen is dropped again, and after the pen is dropped again, it is the next stroke. Therefore, the color, width, and transparency in the same stroke are the same.

In other embodiments, the color, width, and transparency in the same stroke may also be different. The color, width and transparency in the same stroke can be changed due to different factors such as writing pressure or writing speed during writing. For example, when the writing speed is relatively high, the stroke color changes to a warm color system, and when the writing speed is relatively low, the stroke color changes to a cool color system. When the writing pressure is relatively high, the transparency of the stroke is low and the width is large; when the writing pressure is relatively low, the transparency of the stroke is high and the width is small.

The handwriting writing processing method disclosed in this application selects a certain data point in each stroke data for marking, and then combines the handwriting attribute information of other data points in each stroke data except the marked data point with the The handwriting attribute information with the same handwriting attribute information of the marked data point is deleted, thereby achieving lossless compression of the handwriting data, reducing the storage space and transmission time of the handwriting data, and improving the user experience.

Please refer to FIG. 4 again. In some embodiments, the handwriting process method compared to the process method in FIG. 1 before step S11 further includes:

Step S41: When the time interval between two adjacent data points exceeds a preset time value, it is determined that the two data points belong to two adjacent strokes.

In this embodiment, each continuous stroke can be determined according to the time information of each data point, that is, the strokes and the order of the strokes are determined by the time information of each data point corresponding to each stroke. During the writing process, each stroke is composed of consecutive data points, and the user will raise the pen before writing the next stroke when writing the next stroke. Therefore, there is a time interval between different strokes. Therefore, the time information of adjacent data points in the same stroke should be continuous. Then it can be determined that the continuous data points of the time information are the same stroke, and the start data point of the stroke is the data point corresponding to the earliest time point in the continuous time information, and the end data point of the stroke is the continuous time information The data point corresponding to the latest time point. On the other hand, when the time interval between two adjacent data points is greater than a preset time value, it is determined that the two adjacent data points belong to two adjacent strokes, where the two adjacent data points The time information earlier in the data point is the end data point of the previous stroke, and the time information later is the start data point of the next stroke. At the same time, each data point in the same stroke can also be sorted according to time information, that is, the earliest time information is the starting data point, and the latest time attribute information is the ending data point of the stroke.

In another embodiment, the step S41 may also be: when the coordinate difference between two adjacent data points exceeds a preset difference, it is determined that the two data points belong to two adjacent strokes. In this embodiment, each continuous stroke can be determined according to the coordinate information of each data point. That is, each stroke and the order of each stroke can be determined by the coordinate difference of a current data point relative to the previous data point. During the writing process, each stroke is composed of consecutive data points, and the user will raise the pen before writing the next stroke when writing the next stroke. Therefore, the coordinates between different strokes are spaced. Therefore, when the difference between the coordinate information between two adjacent data points exceeds a preset difference, it can be judged that the two data points belong to two phases Neighbor strokes. Please refer to FIG. 5 again. In some embodiments, in order to improve the effective utilization of storage space, the handwriting processing method compared to the processing method in FIG. 1 before step S12 further includes:

Step S51: Determine invalid data points in each stroke, and delete the invalid data points. In this embodiment, the determination of the invalid data point in each stroke includes: determining that the data point whose handwriting attribute information does not meet the preset condition is the invalid data point, wherein the invalid data point is unable The data points identified or displayed. For example, when the pressure information is less than the preset value, the data point cannot be displayed. .

Please refer to FIG. 6 again. In some embodiments, in order to further improve storage efficiency, the handwriting processing method further includes the following steps compared with the method in FIG. 1:

Step S61: Delete the time information of all data points.

In this embodiment, although the time information of each data point is different, in the previous step, all data points have been sorted (sequentially stored) in the order of time, so the time attribute information has no other effect, so As shown in Figure 7, you can delete it to further save storage space.

In some embodiments, the method may further include the step of: in response to an operation such as displaying the corresponding content of the handwritten handwriting, controlling the handwriting attribute information according to the marked data points in each stroke and in addition to the marked data points The handwriting attribute information of the other data points is the same as the handwriting attribute information of the marked data point. The handwriting attribute information of each other data point is restored to the complete handwriting attribute information of each other data point, and The complete handwriting attribute information of the data point is displayed.

Wherein, each data point is restored according to the handwriting attribute information of the marked data point in each stroke and the handwriting attribute information of other data points other than the marked data point and the handwritten attribute information of the marked data point Complete handwriting attribute information, including: adding the handwriting attribute information of the marked data point to the handwriting attribute information of data points other than the marked data point, and restoring the complete handwriting attribute information of each other data point .

Please refer to FIG. 8, which is a structural block diagram of a handwriting input device 100 in an embodiment of the present application. The handwriting input device 100 may be, but not limited to, a mobile phone, a tablet computer, a notebook computer, a personal digital assistant (Personal Digital Assistant (PDA), a portable media player (Portable Media Player, PMP), a navigation device, a wearable device, Smart bracelets, pedometers, etc. are not limited here. The handwriting input device 100 includes but is not limited to the memory 10 and the processor 20. Specifically, the memory 10 and the processor 20 may be coupled through a communication bus 30. Those skilled in the art should understand that FIG. 6 is only an example of the handwriting input device 100, and does not constitute a limitation on the handwriting input device 100. The handwriting input device 100 may include more information than shown in FIG. More or fewer components, or a combination of certain components, or different components, for example, the handwriting input device 100 may further include a touch screen, an input and output device, a network access device, and the like.

The memory 10 may be used to store computer programs and / or modules. The processor 20 executes or executes the computer programs and / or modules stored in the memory 10 and calls the data stored in the memory 10 to achieve The various functions of the handwriting input device 100 will be described. The memory 10 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, application programs required for multiple functions (such as a sound playback function, an image playback function, etc.), etc .; the data storage area may Store data (such as audio data, phone book, etc.) created according to the use of mobile phones.

In addition, the memory 10 may include a high-speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (SmartMedia Card, SMC), and secure digital (SD) ) Card, flash card (Flash Card), multiple disk storage devices, flash memory devices, or other volatile solid-state storage devices.

The processor 20 may be a central processing unit (Central Processing Unit, CPU), or other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), Field-programmable gate array (Field-Programmable GateArray, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The processor is the control center of the handwriting input device 100, and uses various interfaces and lines to connect the entire handwriting input device 100 various parts.

In this embodiment, the memory 10 stores the corresponding program of the handwriting process method, and the processor 20 runs the corresponding program of the handwriting process method to perform the following operations: obtain the handwriting of each data point in each stroke Attribute information; select a data point in each stroke to mark and mark it as a marked data point; delete the handwriting attribute information of other data points except the marked data point in each stroke and the marked data point The handwriting attribute information of the same handwriting attribute information.

In this embodiment, the handwriting attribute information includes basic attribute information and additional attribute information. The basic attribute information is coordinate information, and the additional attribute information is pressure information, color information, width information, transparency information, and time information. At least one. Deleting the handwriting attribute information in the handwriting attribute information of data points other than the marked data point in each stroke data that is the same as the handwriting attribute information of the marked data point, specifically: deleting each stroke data The handwriting attribute information in the additional attribute information of the data points other than the marked data point is the same as the additional attribute information of the marked data point.

The handwriting input device 100 disclosed in this application selects a certain data point in each stroke data for marking, and then compares the handwriting attribute information of other data points in each stroke data except the marked data point with the The handwriting attribute information with the same handwriting attribute information of the marked data point is deleted, thereby achieving lossless compression of the handwriting data, reducing the storage space and transmission time of the handwriting data, and improving the user experience.

In some embodiments, the marked data point is the starting data point in each stroke. The selecting a certain data point in each stroke for marking includes: adding a marker to mark the selected data point in each stroke. In this embodiment, the marker is a number, and the number is a positive integer greater than one. Among them, the number represents the sequence number of the stroke. For example, when the stroke is the first stroke, the marker added to a data point in the stroke is 1, and when the stroke is the second stroke, the marker added to a data point in the stroke is 2, to And so on, until a certain data point in the handwriting data corresponding to all strokes is marked.

In some embodiments, before acquiring the handwriting attribute information of each data point in each stroke, the corresponding program of the processor 20 running the handwriting handwriting processing method also performs the following operations: when two adjacent data points When the coordinate difference between them exceeds the preset difference, it is determined that the two data points belong to two adjacent strokes.

In other embodiments, before acquiring the handwriting attribute information of each data point in each stroke, the corresponding program of the processor 20 running the handwriting handwriting processing method also performs the following operations: when two adjacent data points When the time interval between them exceeds a preset time value, it is determined that the two data points belong to two adjacent strokes. In this embodiment, each continuous stroke can be determined according to the coordinate information of each data point. That is, each stroke and the order of each stroke can be determined by the coordinate difference of a current data point relative to the previous data point. During the writing process, each stroke is composed of consecutive data points, and the user will raise the pen before writing the next stroke when writing the next stroke. Therefore, the coordinates between different strokes are spaced. Therefore, when the difference between the coordinate information between two adjacent data points exceeds a preset difference, it can be judged that the two data points belong to two phases Neighbor strokes.

Before selecting a certain data point in each stroke for marking and marking it as a marked data point, the processor runs the corresponding program of the handwriting writing processing method and also performs the following operations: determining the invalidity in each stroke Data points, and delete the invalid data points. In this way, the storage efficiency can be further improved. In this embodiment, the determination of the invalid data point in each stroke includes: determining that the data point whose handwriting attribute information does not meet the preset condition is the invalid data point, wherein the invalid data point is unable The data points identified or displayed. For example, when the pressure information is less than the preset value, the data point cannot be displayed.

In some embodiments, after the step of deleting the handwriting attribute information in the handwriting attribute information of the data points other than the marked data point in each stroke is the same as the handwriting attribute information of the marked data point, The corresponding program of the processor 20 running the handwriting processing method also performs the following operations: deleting the time information of all data points. In this way, the storage efficiency can be further improved.

It should be noted that, for the sake of simple description, the foregoing method embodiments are all expressed as a series of action combinations, but those skilled in the art should know that this application is not limited by the sequence of actions described because According to this application, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by this application.

In the above embodiments, the description of each embodiment has its own emphasis. For a part that is not described in detail in an embodiment, you can refer to the related descriptions of other embodiments.

The steps in the method of the embodiment of the present application may be adjusted, merged, and deleted sequentially according to actual needs.

The method for processing handwriting provided by the present application may be implemented in hardware or firmware, or as software or computer code that can be stored in a computer-readable storage medium such as CD, ROM, RAM, floppy disk, hard disk, or magneto-optical disk, or The computer code that can be stored as original on a remote recording medium or non-transitory machine-readable medium, downloaded over a network, and stored in a local recording medium, so that the method described here can utilize a general-purpose computer or a special processor or in such as ASIC or Programmable or dedicated hardware such as FPGA is presented as software stored on a recording medium. As can be understood in the art, a computer, processor, microprocessor, controller, or programmable hardware includes memory components, such as RAM, ROM, flash memory, etc., which are accessed when the computer, processor, or hardware implements the processing methods described herein When executing software or computer code, the memory component may store or receive the software or computer code. In addition, when the general-purpose computer accesses the code for implementing the processing shown here, the execution of the code converts the general-purpose computer into a dedicated computer for performing the processing shown here.

Wherein, the computer-readable storage medium may be solid-state memory, memory card, optical disc, etc. The computer-readable storage medium stores program instructions for the computer to execute the above-mentioned handwriting processing method.

The embodiments of the present application are described in detail above, and specific examples are used to explain the principles and embodiments of the present application. The descriptions of the above embodiments are only used to help understand the method and the core idea of the present application; A person of ordinary skill in the art, according to the ideas of the present application, may have changes in specific embodiments and application scopes. In summary, the content of this specification should not be construed as limiting the present application.

Claims

A handwriting handwriting processing method is applied to a handwriting input device, and is characterized in that the handwriting handwriting processing method includes the following steps:

Obtain the handwriting attribute information of each data point in each stroke;

Select a data point in each stroke to mark and mark it as a marked data point;

Delete the handwriting attribute information that is the same as the handwriting attribute information of the marked data point in the handwriting attribute information of the data points other than the marked data point in each stroke.
The method for processing handwriting according to claim 1, wherein the handwriting attribute information includes basic attribute information and additional attribute information, the basic attribute information is coordinate information, and the additional attribute information is pressure information and color information , Width information, transparency information, and time information.
The method for processing handwriting according to claim 2, wherein the deletion of the handwriting attribute information of the data points other than the marked data point in each stroke data and the handwritten attribute of the marked data point The handwriting attribute information with the same information is specifically: deleting the handwriting attribute information that is the same as the additional attribute information of the marked data point in the additional attribute information of the data points other than the marked data point in each stroke data.
The method for processing handwriting according to claim 1, wherein before the step of acquiring the handwriting attribute information of each data point in each stroke, the method further comprises the step of:

When the time interval between two adjacent data points exceeds a preset time value, it is determined that the two data points belong to two adjacent strokes.
The method for processing handwriting according to claim 1, wherein before the step of acquiring the handwriting attribute information of each data point in each stroke, the method further comprises the step of:

When the coordinate difference between two adjacent data points exceeds a preset difference, it is determined that the two data points belong to two adjacent strokes.
The control method according to claim 1, wherein the selecting a certain data point in each stroke for marking comprises: adding a marker to mark the selected data point in each stroke.
The method for processing handwriting according to claim 1, wherein the marked data point is a starting data point in each stroke.
The method for processing handwriting according to claim 1, wherein before selecting a certain data point in each stroke for marking and recording it as a marked data point, further comprising the steps of:

Determine invalid data points in each stroke and delete the invalid data points.
The method for processing handwriting according to claim 8, wherein the determining an invalid data point in each stroke comprises: determining that the data point where the handwriting attribute information does not meet a preset condition is the invalid data point , Where the invalid data point is a data point that cannot be identified or displayed.
The method for processing handwriting according to claim 1, wherein in the handwriting attribute information of the data points other than the marked data point in each deleted stroke, the handwriting attribute of the marked data point After the handwriting attribute information step with the same information, the following steps are also included:

Delete the time information of all data points.
A handwriting input device includes a memory and a processor, wherein the memory stores a corresponding program of a handwriting process method, and the processor runs the corresponding program of the handwriting process method to perform the following operations:

Obtain the handwriting attribute information of each data point in each stroke;

Select a data point in each stroke to mark and mark it as a marked data point;

Delete the handwriting attribute information that is the same as the handwriting attribute information of the marked data point in the handwriting attribute information of the data points other than the marked data point in each stroke.
The handwriting input device according to claim 11, wherein the handwriting attribute information includes basic attribute information and additional attribute information, the basic attribute information is coordinate information, and the additional attribute information is pressure information, color information, At least one of width information, transparency information, and time information.
The handwriting input device according to claim 12, wherein the handwriting attribute information of the data points other than the marked data point in each stroke data is deleted from the handwriting attribute information of the marked data point The same handwriting attribute information is specifically: deleting the handwriting attribute information that is the same as the additional attribute information of the marked data point in the additional attribute information of the data points other than the marked data point in each stroke data.
The handwriting input device according to claim 11, wherein before the acquiring the handwriting attribute information of each data point in each stroke, the corresponding program of the processor running the handwriting handwriting processing method also performs the following operations :

When the coordinate difference between two adjacent data points exceeds a preset difference, it is determined that the two data points belong to two adjacent strokes.
The handwriting input device according to claim 11, wherein before the acquiring the handwriting attribute information of each data point in each stroke, the corresponding program of the processor running the handwriting handwriting processing method also performs the following operations :

When the time interval between two adjacent data points exceeds a preset time value, it is determined that the two data points belong to two adjacent strokes.
The handwriting input device according to claim 11, wherein the selecting a certain data point in each stroke for marking comprises: adding a marker to mark the selected data point in each stroke.
The handwriting input device according to claim 11, wherein the marked data point is a starting data point in each stroke.
The handwriting input device according to claim 11, characterized in that before the selection of a certain data point in each stroke for marking and recording as a marked data point, the processor runs the handwriting writing processing method The corresponding program also performs the following operations:

Determine invalid data points in each stroke and delete the invalid data points.
The handwriting input device according to claim 11, wherein the handwriting attribute information of the data points other than the marked data point in each stroke is deleted from the handwriting attribute information of the marked data point After the same handwriting attribute information step, the corresponding program of the processor running the handwriting handwriting processing method also performs the following operations:

Delete the time information of all data points.
A computer-readable storage medium, characterized in that the computer-readable storage medium stores a corresponding program of a handwriting processing method, and the corresponding program of the handwriting processing method is implemented by a processor as claimed in claims 1 to The steps of the handwriting processing method according to any one of 10.