WO2020124450A1

WO2020124450A1 - Font setting method and device

Info

Publication number: WO2020124450A1
Application number: PCT/CN2018/122138
Authority: WO
Inventors: 陈岩
Original assignee: 深圳市欢太科技有限公司; Oppo广东移动通信有限公司
Priority date: 2018-12-19
Filing date: 2018-12-19
Publication date: 2020-06-25
Also published as: CN112840312B; CN112840312A

Abstract

A font setting method and device. The method comprises: displaying a font setting interface (S201), the font setting interface comprising an artificial intelligence (AI) font option; upon detecting a selection operation for the AI font option, determining at least one font resource database that meets the needs of a first user, the font resource database being a pre-configured font resource database having a fixed style (S202); determining first handwriting font data of a first user according to the at least one font resource database and handwriting font records of the first user (S203); obtaining, according to the first handwriting font data, a first AI font model associated with first user handwriting habits (S204); generating an AI font resource database by means of the first AI font model (S205); and invoking fonts in a first AI font resource database to display texts (S206). The present method facilitates combining the font resource database with the features of the handwriting font records of users, personalizing fonts, increasing the display characteristics of a terminal, and improving experience of a user.

Description

Font setting method and device

Technical field

This application relates to the technical field of mobile terminals, in particular to a font setting method and device.

Background technique

With the continuous development of electronic technology and the continuous improvement of people's consumption levels, people's consumption concepts and lifestyles have undergone profound changes, and personalized needs have become mainstream. As electronic devices have more and more functions, how to meet the user's personalized design requirements is a hot issue of research. Among them, one of the important functions of mobile phones is the display of information, and information display is inseparable from the font. Now mobile phone users are no longer satisfied with a single mobile phone built-in font. There are also a large number of personalized fonts in the online application store APP Store, such as: star fonts, young round, crazy grass, etc., but the user's selectivity is low, easy Boring to the user, the user's experience is low, and personalization has become a new requirement for users on mobile phones.

Summary of the invention

The embodiments of the present application provide a font setting method and device, which can improve the comprehensiveness and accuracy of the target model in processing recommended tasks.

In a first aspect, an embodiment of the present application provides a font setting method, which is applied to an electronic device, and the method includes:

Display a font setting interface, the font setting interface includes artificial intelligence AI font options;

When detecting the selection operation for the AI font option, determine at least one font resource library that meets the usage requirements of the first user, and the font resource library is a pre-configured font resource library with a fixed style;

Determine the first user's first handwritten font data according to the at least one font resource library and the first user's handwritten font record;

Obtaining a first AI font model associated with the handwriting habits of the first user according to the first handwriting font data;

Generating an AI font resource library through the first AI font model;

Call the font in the first AI font resource library to display text.

In a second aspect, an embodiment of the present application provides a font setting device, which is applied to an electronic device. The font setting device includes a processing unit and a communication unit, wherein,

The electronic device displays a font setting interface, and the font setting interface includes an artificial intelligence AI font option; the processing unit is configured to determine at least one that meets the usage requirements of the first user when detecting an operation for the AI font option A font resource library, the font resource library being a pre-configured font resource library with a fixed style; determining the first user's first handwriting font data according to the at least one resource library and the first user's handwriting font records; according to the first A handwritten font data obtains a first AI font model associated with the handwriting habits of the first user; generates an AI font resource library through the first AI font model; calls the fonts in the first AI font resource library for text display.

In a third aspect, an embodiment of the present application provides a mobile terminal, including a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and are configured by The processor executes, and the program includes instructions for performing steps in any method of the first aspect of the embodiments of the present application.

According to a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program causes a computer to execute as implemented in the present application In some or all of the steps described in any method of the first aspect, the computer includes a mobile terminal.

According to a fifth aspect, an embodiment of the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause the computer to execute Apply for some or all of the steps described in any method of the first aspect of the embodiments. The computer program product may be a software installation package, and the computer includes a mobile terminal.

It can be seen that in the embodiment of the present application, the electronic device displays a font setting interface, and the font setting interface includes artificial intelligence AI font options; when the electronic device detects the selection operation for the AI font options, it first determines at least A font resource library that meets the needs of the first user, the font resource library is a pre-configured font resource library with a fixed style; second, the first user is determined according to the at least one font resource library and the first user's handwritten font records The first handwritten font data; again, based on the first handwritten font data to obtain a first AI font model associated with the first user's handwriting habits; then, generate an AI font resource library from the first AI font model; finally, call The fonts in the first AI font resource library display text. It can be seen that the electronic device according to the embodiment of the present application selects the existing font of a specific style according to the user's needs, combines it with the user's handwriting font record to determine the first handwriting data of the user, and then obtains the associated first user handwriting according to the first handwriting font data of the user The customary first AI font model can efficiently generate the font model from the first handwritten font data; this avoids the requirement of the first handwritten font data volume and improves the universality of the font generation method. And the use of font settings to generate AI font resource library personalized custom fonts, increase the display characteristics of the terminal, improve the user's experience.

BRIEF DESCRIPTION

The drawings related to the embodiments of the present application will be briefly described below.

1a is a schematic diagram of a system font setting interface provided by an embodiment of the present application;

FIG. 1b is an example diagram of font display in a font body store provided by an embodiment of the present application;

2 is a schematic flowchart of a font setting method provided by an embodiment of the present application;

3 is a schematic flowchart of a font setting method disclosed in an embodiment of the present application;

4 is a schematic flowchart of a font setting method disclosed in an embodiment of the present application;

5 is a schematic flowchart of a font setting method disclosed in an embodiment of the present application

6 is a schematic structural diagram of an electronic device disclosed in an embodiment of the present application;

7 is a block diagram of functional units of an electronic device disclosed in an embodiment of the present application.

detailed description

In order to enable those skilled in the art to better understand the solutions of the present application, 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 It is a part of the embodiments of this application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

The terms "first", "second", etc. in the specification and claims of the present application and the accompanying drawings are used to distinguish different objects, not to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally also includes Other steps or units inherent to these processes, methods, products or equipment.

Reference herein to “embodiments” means that specific features, structures, or characteristics described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art understand explicitly and implicitly that the embodiments described herein can be combined with other embodiments.

The mobile terminals involved in the embodiments of the present application may include various handheld devices with wireless communication functions, in-vehicle devices, wearable devices, computing devices, or other processing devices connected to a wireless modem, and various forms of user equipment (User Equipment, UE), Mobile Station (MS), terminal equipment, etc. For convenience of description, the above-mentioned devices are collectively referred to as mobile terminals. The operating system involved in the embodiments of the present application is a software system that performs unified management of hardware resources and provides service interfaces to users.

In the general design, as shown in Figure 1a, the fonts currently supported by the mobile terminal mainly include two types, one is the built-in system font, and the other is the font that the user downloads from the application store, theme store and other applications. System fonts are generally pre-configured by developers before the device leaves the factory, and are updated through mechanisms such as system update. As shown in Figure 1b, the format of font resources downloaded by users has been solidified. Users can only directly enable them through subscriptions, purchases, etc. The style of the font resource is changed to better suit the user's actual handwriting habits.

In view of the above situation, an embodiment of the present application proposes a font setting method. The following describes the embodiment of the present application with reference to the drawings.

Please refer to FIG. 2. FIG. 2 is a schematic flowchart of a font setting method provided by an embodiment of the present application, which is applied to an electronic device. As shown in the figure, the font setting method includes:

S201, the electronic device displays a font setting interface, and the font setting interface includes artificial intelligence (AI) font options;

Among them, the electronic device enters the font setting interface according to the user's instruction, the interface includes the fixed style font options and artificial intelligence AI font options provided by the traditional main store

S202, when detecting the selection operation for the AI font option, the electronic device determines at least one font resource library that meets the usage requirements of the first user, and the font resource library is a pre-configured font resource library with a fixed style;

Among them, at least one font resource library that meets the user's needs is determined according to the user's needs. The user can be a head user or other users except the head user. The resource library of the required font resource library can select multiple existing fonts according to the needs Resource library. The existing font resource library may be fonts of various styles existing in the theme store, or may be a font resource library generated in advance according to the handwriting of other users.

S203. The electronic device determines the first user's first handwritten font data according to the at least one font resource library and the first user's handwritten font record;

S204, the electronic device obtains a first AI font model associated with the handwriting habits of the first user according to the first handwritten font data;

According to the writing characteristics of the first handwriting font data combined with the first user's handwriting font record and the font resource library that meets the first user's usage requirements, the electronic device trains the user's writing according to the writing characteristics of the first handwriting font data The aforementioned AI font model.

S205, the electronic device generates an AI font resource library through the first AI font model;

Among them, the electronic device generates a font library with the user's personal writing habits after extensive training according to the obtained AI font model with the user's writing habits.

S206. The electronic device calls the font in the first AI font resource library to display text.

After the electronic device generates a font library with user writing habits, when the AI font needs to be used, the electronic device calls the font in the first AI font resource library for text display.

In a possible example, the determining at least one font resource library that meets the usage requirements of the first user includes: detecting whether the font resource library customized by the first user is included in the font resource library set; when the font resource library is detected When the font resource library customized by the first user is included in the set, it is determined that the font resource library customized by the first user is a font resource library that meets the usage requirements of the first user.

Wherein, by detecting whether the font resource library customized by the first user is included in the font resource library collection, it can be quickly determined that the font resource library customized by the first user meets the usage requirements of the first user.

It can be seen that, in this example, the electronic device quickly determines the font resource library that meets the usage requirements of the first user by detecting the font resource library collection, which improves the efficiency and convenience of font setting and improves the user's experience.

In a possible example, when it is detected that the font resource library set does not include the font resource library customized by the first user, a font resource library selection interface is displayed, and the font resource library selection interface includes multiple font setting options; When a selection operation for at least one font setting option in the plurality of font setting options is detected, a font resource library of the at least one font setting option is determined.

When the electronic device cannot determine the font resource library that meets the usage requirements of the first user by detecting the collection of font resource libraries, the user independently selects the font resource library that meets the usage requirements of the first user through multiple font setting options.

It can be seen that in this example, the electronic device can satisfy the user's personalized selection and meet the first user's use requirements through the user's selection operation of at least one font setting option among the plurality of font setting options, and improve the user's experience.

In a possible example, the determining the first user's first handwriting font data according to the at least one font resource library and the first user's handwriting font record includes: determining that the first user's handwriting font record includes A first font set; performing font filtering from the at least one font resource library according to the first font set to obtain a second font set, any two fonts in the second font set and the first font set Differently, any two fonts in the second font set are different; the first handwritten font data of the first user is determined according to the fonts in the first font set and the second font set.

The second font set is obtained by determining the text with a specific writing style in at least one font resource library according to the set of handwritten font records of the first user. Select the second font set according to the writing habits of the first user, and then train the two sets to obtain the AI font model.

It can be seen that in this example, the electronic device determines the text with a specific writing style in at least one font resource library according to the set of handwritten font records of the first user to obtain a second font set, and combines the user’s font and the selected favorite existing The fonts are merged to generate personalized fonts to improve the user's experience.

In a possible example, the determining the first handwritten font data of the first user according to the fonts in the first font set and the second font set includes: filtering out high Frequently used fonts; display the high frequency used fonts, update the high frequency used fonts according to the user's manual update operation; determine that the updated high frequency used fonts and the first font set are the first of the first user Handwriting font data.

Among them, according to the user's historical use records, calculate the font usage time, frequency and frequency of use. The high frequency means that the font usage time is greater than the preset duration; the font usage frequency is greater than the preset frequency; the font usage frequency is greater than the preset frequency.

It can be seen that in this example, the electronic device updates the high-frequency use font according to the user update operation; it is determined that the updated high-frequency use font and the first font set are the first user's first handwritten font data, and then determined Personalized fonts that users like most recently. In order to update the font model to meet the user's font setting requirements.

In a possible example, the first user's handwriting font record acquisition method includes any one of the following: outputting a handwriting font guidance interface; acquiring first handwriting font data entered by the first user on the handwriting font guidance interface; And/or, query the input method usage record of the electronic device; extract the first handwriting font data in the handwriting keyboard mode from the input method usage record; and/or, capture the first user's handwriting font image; The handwriting font image generates first handwriting font data; and/or, receives first handwriting font data of a first user from a terminal or a server.

Among them, the electronic device first outputs a handwriting font guide interface, and the user enters the handwriting font according to the requirements on the handwriting font guide interface, the requirements are a handwriting font for randomly inputting a piece of text or a handwriting font for inputting the text according to the prescribed text. You can also query the user's input method records and extract the font records entered in the handwriting keyboard mode when the user has detected handwriting input before. When the user writes on a paper or other carrier with a pen, the electronic device collects the image through the camera, and the first handwritten font data. The electronic device can also obtain handwritten fonts of celebrities, calligraphy masters, etc. from the terminal or the server.

It can be seen that in this example, the method by which the electronic device collects the user's first handwritten font data has diversity and convenience, so that the user can not only set his own personal font according to his writing habits, but also set the font of his favorite celebrity Or the font of the calligraphy master is set as your own personalized font, which improves the selectivity of the font and the user's sense of experience.

In a possible example, the obtaining the first AI font model associated with the first user's handwriting habits according to the first handwriting font data includes: generating handwriting font sample data according to the first handwriting font data; using the The handwritten font sample data trains the pre-configured AI font model to obtain the first AI font model after training.

Among them, the AI font model may be a neural network model, specifically including a convolutional neural network, or a generative confrontation network. Generate handwritten font sample data according to the first handwritten font data; and then use the handwritten font sample data to train a pre-configured AI font model to obtain the trained first AI font model. This first AI font model is closest to the user's first handwritten font data and meets the user's personalized setting requirements.

It can be seen that in this example, the electronic device trains the collected handwritten fonts as sample data to obtain a font model for handwritten fonts, avoiding the requirement of the first handwritten font data volume, and at the same time improves the universality of the font generation method and improves the user Experience.

In a possible example, the obtaining the first AI font model associated with the handwriting habits of the first user according to the first handwriting font data includes: sending the first handwriting font data to a server; receiving the data from the server A first AI font model, the first AI font model is obtained by the server under the following operations: generating handwriting font sample data according to the first handwriting font data, and using the handwriting font sample data to train a pre-configured AI Font model to get the first AI font model after training.

Among them, the electronic device sends the collected handwritten font to the server, the server uses the received handwritten font as sample data to obtain a font model about the handwritten font, and then the server sends the trained font model to the electronic device. The requirement for the amount of data of the first handwritten font is avoided, and at the same time, the universality of the font generation method is improved.

It can be seen that in this example, it is not necessary to train the font model on the electronic device, and the model training is performed on the server and then the model is sent to the electronic device, which saves the running memory of the electronic device and avoids the requirement of the amount of data for the first handwritten font. At the same time improve the universality of font generation.

In a possible example, after the AI font resource library is generated through the first AI font model, the method further includes: determining a high-frequency font used in the AI font resource library; calling and displaying the AI The high-frequency font used in the font resource library; when a selection operation for the high-frequency font is detected, a handwriting perception area is output; the second handwriting font data entered by the user is obtained through the handwriting perception area; The second handwritten font data trains the first AI font model to update the first AI font model.

Wherein, the high frequency is to calculate the duration of use of the font based on the user's historical use records. After using the frequency and the number of uses, it is obtained that the duration of the font is greater than the preset duration; the frequency of the font is greater than the preset frequency; the number of font usage is greater than the preset Set times.

It can be seen that in this example, the electronic device combines the high-frequency use font in the first AI font resource library and the second handwritten font data entered by the user to obtain a newly trained second AI font resource library, and then updates the font model to satisfy User requirements for font settings.

In a possible example, the font in the first AI font resource library includes at least one of the following: Chinese characters, numbers, and letters.

The fonts in the first AI font resource library include but are not limited to Chinese characters, numbers, and letters, and also include characters, symbols, and the like.

In a possible example, the first handwritten font data is a neural network model, and the neural network model includes any one of the following: a generative adversarial network, a convolutional neural network, and a nonlinear kernel residual network.

Consistent with the embodiment shown in FIG. 2, please refer to FIG. 3. FIG. 3 is a schematic flowchart of a font setting method provided by an embodiment of the present application, which is applied to an electronic device. As shown in the figure, this font setting method include:

S301, the electronic device displays a font setting interface, and the font setting interface includes artificial intelligence AI font options;

S302, when detecting the selection operation for the AI font option, the electronic device detects whether a font resource library customized by the first user is included in the font resource library set;

S303. When detecting that the font resource library set includes the font resource library customized by the first user, the electronic device determines that the font resource library customized by the first user is a font resource library that meets the usage requirements of the first user.

S304, the electronic device determines the first user's first handwritten font data according to the at least one font resource library and the first user's handwritten font record;

S305, the electronic device obtains a first AI font model associated with the handwriting habits of the first user according to the first handwritten font data;

S306, the electronic device generates an AI font resource library through the first AI font model;

S307: The electronic device calls the font in the first AI font resource library to display text.

It can be seen that in the embodiment of the present application, the electronic device displays a font setting interface, and the font setting interface includes artificial intelligence AI font options; when the electronic device detects the selection operation for the AI font options, it first determines at least A font resource library that meets the needs of the first user, the font resource library is a pre-configured font resource library with a fixed style; second, the first user is determined according to the at least one font resource library and the first user's handwritten font records The first handwritten font data; again, based on the first handwritten font data to obtain a first AI font model associated with the first user's handwriting habits; then, generate an AI font resource library from the first AI font model; finally, call The fonts in the first AI font resource library display text. It can be seen that the electronic device according to the embodiment of the present application selects the existing font of a specific style according to the user's needs, combines it with the user's handwriting font record to determine the first handwriting data of the user, and then obtains the associated first user handwriting according to the first handwriting font data of the user The customary first AI font model can efficiently generate the font model from the first handwritten font data; this avoids the requirement of the first handwritten font data volume and improves the universality of the font generation method. And the use of font settings to generate AI font resource library personalized custom fonts, increase the display characteristics of the terminal, improve the user's experience. In addition, by detecting whether the font resource library customized by the first user is included in the font resource library collection, it is possible to quickly determine the font resource library in the font resource library customized by the first user that meets the usage requirements of the first user. The electronic device quickly determines the font resource library that meets the usage requirements of the first user by detecting the font resource library collection, which improves the efficiency and convenience of font setting and improves the user's experience.

Consistent with the embodiment shown in FIG. 2, please refer to FIG. 4, which is a schematic flowchart of a font setting method provided by an embodiment of the present application, which is applied to an electronic device; as shown in the figure, this font setting method include:

S401, the electronic device displays a font setting interface, and the font setting interface includes an artificial intelligence AI font option;

S402, when detecting the selection operation for the AI font option, the electronic device determines at least one font resource library that meets the usage requirements of the first user, and the font resource library is a pre-configured font resource library with a fixed style;

S403, the electronic device determines the first user's first handwritten font data according to the at least one font resource library and the first user's handwritten font record;

S404, the electronic device sends the first handwritten font data to the server;

S405, the electronic device receives a first AI font model from the server, the first AI font model is obtained by the server under the following operation: generating handwritten font sample data according to the first handwritten font data, Training the pre-configured AI font model using the handwritten font sample data to obtain the trained first AI font model;

S406, the electronic device generates an AI font resource library through the first AI font model;

S407: The electronic device calls the font in the first AI font resource library to display text.

It can be seen that in the embodiment of the present application, the electronic device displays a font setting interface, and the font setting interface includes artificial intelligence AI font options; when the electronic device detects the selection operation for the AI font options, it first determines at least A font resource library that meets the needs of the first user, the font resource library is a pre-configured font resource library with a fixed style; second, the first user is determined according to the at least one font resource library and the first user's handwritten font records The first handwritten font data; again, based on the first handwritten font data to obtain a first AI font model associated with the first user's handwriting habits; then, generate an AI font resource library from the first AI font model; finally, call The fonts in the first AI font resource library display text. It can be seen that the electronic device according to the embodiment of the present application selects the existing font of a specific style according to the user's needs, combines it with the user's handwriting font record to determine the first handwriting data of the user, and then obtains the associated first user handwriting according to the first handwriting font data of the user The customary first AI font model can efficiently generate the font model from the first handwritten font data; this avoids the requirement of the first handwritten font data volume and improves the universality of the font generation method. And the use of font settings to generate AI font resource library personalized custom fonts, increase the display characteristics of the terminal, improve the user's experience. In addition, the electronic device sends the collected handwriting font to the server. The server uses the received handwriting font as sample data to obtain a font model about the handwriting font. Then the server sends the trained font model to the electronic device, saving the electronic device’s Running memory avoids the requirement of the first handwritten font data volume, and at the same time improves the universality of font generation methods.

Consistent with the embodiment shown in FIG. 2, please refer to FIG. 5, which is a schematic flowchart of a font setting method provided by an embodiment of the present application, which is applied to an electronic device; as shown in the figure, this font setting method include:

S501, the electronic device displays a font setting interface, and the font setting interface includes artificial intelligence AI font options;

S502, when detecting the selection operation for the AI font option, the electronic device determines at least one font resource library that meets the usage requirements of the first user, and the font resource library is a pre-configured font resource library with a fixed style;

S503, the electronic device determines the first user's first handwritten font data according to the at least one font resource library and the first user's handwritten font record;

S504. The electronic device obtains a first AI font model associated with the handwriting habits of the first user according to the first handwriting font data;

S505, the electronic device generates an AI font resource library through the first AI font model;

S506, the electronic device determines the high-frequency font used in the AI font resource library;

S507, the electronic device calls and displays the high-frequency font used in the AI font resource library;

S508, the electronic device outputs a handwriting perception area when it detects a selection operation for the high-frequency use font;

S509, the electronic device obtains the second handwritten font data entered by the user through the handwriting perception area;

S510, the electronic device trains the first AI font model through the second handwritten font data to update the first AI font model;

S511. The electronic device calls the font in the first AI font resource library to display text.

In addition, the electronic device combines the high-frequency use font in the first AI font resource library and the second handwritten font data entered by the user to obtain a newly trained second AI font resource library, and then updates the font model to satisfy the user’s Set up requirements.

Consistent with the embodiments shown in FIGS. 2 to 5, please refer to FIG. 6, which is a schematic structural diagram of an electronic device 600 provided by an embodiment of the present application. As shown in the figure, the mobile terminal 600 includes An application processor 610, a memory 620, a communication interface 630, and one or more programs 621, wherein the one or more programs 621 are stored in the above-mentioned memory 620, and are configured to be executed by the above-mentioned application processor 610, the One or more programs 621 include instructions for performing the following steps;

Generating an AI font resource library through the first AI font model;

Call the font in the first AI font resource library to display text.

It can be seen that in the embodiment of the present application, the mobile terminal displays a font setting interface, and the font setting interface includes artificial intelligence AI font options; when the electronic device detects the selection operation for the AI font options, it first determines at least A font resource library that meets the needs of the first user, the font resource library is a pre-configured font resource library with a fixed style; second, the first user is determined according to the at least one font resource library and the first user's handwritten font records The first handwritten font data; again, based on the first handwritten font data to obtain a first AI font model associated with the first user's handwriting habits; then, generate an AI font resource library from the first AI font model; finally, call The fonts in the first AI font resource library display text. It can be seen that the electronic device according to the embodiment of the present application selects the existing font of a specific style according to the user's needs, combines it with the user's handwriting font record to determine the first handwriting data of the user, and then obtains the associated first user handwriting according to the first handwriting font data of the user The customary first AI font model can efficiently generate the font model from the first handwritten font data; this avoids the requirement of the first handwritten font data volume and improves the universality of the font generation method. And the use of font settings to generate AI font resource library personalized custom fonts, increase the display characteristics of the terminal, improve the user's experience. In a possible example, in determining at least one font resource library that meets the usage requirements of the first user, the instructions in the program are specifically used to perform the following operations: detect whether the font customized by the first user is included in the font resource library collection Resource library; when it is detected that the font resource library set includes the font resource library customized by the first user, it is determined that the font resource library customized by the first user is a font resource library that meets the usage requirements of the first user.

In a possible example, the program further includes instructions for performing the following operation: when it is detected that the font resource library set does not include the font resource library customized by the first user, the font resource library selection interface is displayed. The font resource library selection interface includes a plurality of font setting options; when a selection operation for at least one font setting option among the plurality of font setting options is detected, a font resource library of the at least one font setting option is determined.

In a possible example, in determining the first user's first handwritten font data based on the at least one font resource library and the first user's handwritten font record, the instructions in the program are specifically used to perform the following operations : Determining a first font set included in the first user's handwritten font record; performing font filtering from the at least one font resource library according to the first font set to obtain a second font set, the second font set Unlike any two fonts in the first font set, any two fonts in the second font set are different; the first user is determined according to the fonts in the first font set and the second font set First handwritten font data.

In a possible example, in terms of determining the first user's first handwritten font data based on the fonts in the first font set and the second font set, the instructions in the program are specifically used to execute the following Operation: selecting high-frequency use fonts from the second font set; displaying the high-frequency use fonts, updating the high-frequency use fonts according to a user's manual update operation; determining the updated high-frequency use fonts and The first font set is the first handwritten font data of the first user.

In a possible example, in terms of the manner in which the first user's handwritten font records are obtained, the instructions in the program are specifically used to perform the following operations: output a handwritten font guide interface; obtain the first user's handwritten font The first handwriting font data entered in the guidance interface; and/or, querying the input method usage record of the electronic device; extracting the first handwriting font data in the handwriting keyboard mode from the input method usage record; and/or, shooting Obtain the first user's handwriting font image; generate first handwriting font data according to the handwriting font image; and/or, receive the first user's first handwriting font data from the terminal or the server.

In a possible example, in terms of obtaining the first AI font model associated with the handwriting habits of the first user based on the first handwritten font data, the instructions in the program are specifically used to perform the following operations: according to the first A handwritten font data generates handwritten font sample data; the pre-configured AI font model is trained using the handwritten font sample data to obtain the trained first AI font model.

In a possible example, in terms of obtaining the first AI font model associated with the handwriting habits of the first user based on the first handwritten font data, the instructions in the program are specifically used to perform the following operations: send the The first handwritten font data; receiving the first AI font model from the server, the first AI font model is obtained by the server under the following operation: generating handwritten font sample data according to the first handwritten font data , Training the pre-configured AI font model using the handwritten font sample data to obtain the trained first AI font model.

In a possible example, the program further includes instructions for performing the following operations: after generating the AI font resource library from the first AI font model, determining the high-frequency font used in the AI font resource library ; Calling and displaying the high-frequency fonts in the AI font resource library; when a selection operation for the high-frequency fonts is detected, a handwriting perception area is output; the user-entered first Two handwritten font data; training the first AI font model through the second handwritten font data to update the first AI font model.

The above mainly introduces the solutions of the embodiments of the present application from the perspective of the execution process on the method side. It can be understood that, in order to realize the above-mentioned functions, the electronic device includes a hardware structure and/or a software module corresponding to each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of the examples described in the embodiments provided herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is performed by hardware or computer software driven hardware depends on the specific application of the technical solution and design constraints. Professional technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered beyond the scope of this application.

The embodiments of the present application may divide the functional unit of the electronic device according to the above method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The above integrated unit can be implemented in the form of hardware or software function unit. It should be noted that the division of the units in the embodiments of the present application is schematic, and is only a division of logical functions, and there may be other division manners in actual implementation.

It should be noted that the font setting device described in the device embodiment of the present application is presented in the form of a functional unit. The term "unit" used herein should be understood as the broadest possible meaning, and the object used to implement the function described by each "unit" may be, for example, an integrated circuit ASIC, a single circuit, used to execute one or more software or firmware A program's processor (shared, dedicated, or chipset) and memory, combined logic circuits, and/or other suitable components that provide the above-mentioned functions.

FIG. 7 shows a block diagram of a possible functional unit of the font setting device 700 involved in the embodiment of the present application. The font setting device 700 is applied to a mobile terminal and includes a processing unit 601, where,

The electronic device displays a font setting interface, and the font setting interface includes an artificial intelligence AI font option; the processing unit 701 is configured to determine that at least one meets the first user's usage requirements when detecting an operation for the AI font option Font resource library, the font resource library is a pre-configured font resource library with a fixed style; and the first user's first handwritten font data is determined according to the at least one resource library and the first user's handwritten font records; and according to The first handwritten font data obtains a first AI font model associated with the first user's handwriting habits; and generates an AI font resource library from the first AI font model; and calls a font in the first AI font resource library to perform Text display.

Wherein, the font setting device 700 may further include a storage unit 703 for storing program codes and data of electronic devices. The processing unit 701 may be a processor, the communication unit 702 may be a touch screen or a transceiver, and the storage unit 703 may be a memory.

It can be seen that in the embodiment of the present application, the electronic device displays a font setting interface, and the font setting interface includes artificial intelligence AI font options; when the electronic device detects the selection operation for the AI font options, it first determines at least A font resource library that meets the needs of the first user, the font resource library is a pre-configured font resource library with a fixed style; second, the first user is determined according to the at least one font resource library and the first user's handwritten font records The first handwritten font data; again, based on the first handwritten font data to obtain a first AI font model associated with the first user's handwriting habits; then, generate an AI font resource library from the first AI font model; finally, call The fonts in the first AI font resource library display text. It can be seen that the electronic device according to the embodiment of the present application selects the existing font of a specific style according to the user's needs, combines it with the user's handwriting font record to determine the first handwriting data of the user, and then obtains the associated first user handwriting according to the first handwriting font data of the user The customary first AI font model can efficiently generate the font model from the first handwritten font data; this avoids the requirement of the first handwritten font data volume and improves the universality of the font generation method. And the use of font settings to generate AI font resource library personalized custom fonts, increase the display characteristics of the terminal, improve the user's experience. In a possible example, in terms of determining at least one font resource library that meets the usage requirements of the first user, the processing unit 701 is specifically configured to detect whether the font resource library customized by the first user is included in the font resource library set When it is detected that the font resource library set includes the font resource library customized by the first user, it is determined that the font resource library customized by the first user is a font resource library that meets the usage requirements of the first user.

In a possible example, the processing unit 701 is further specifically configured to: when it is detected that the font resource library set does not include the font resource library customized by the first user, display a font resource library selection interface, the font resource The library selection interface includes a plurality of font setting options; when a selection operation for at least one font setting option among the plurality of font setting options is detected, a font resource library of the at least one font setting option is determined.

In a possible example, in terms of determining the first user's first handwritten font data based on the at least one font resource library and the first user's handwritten font record, the processing unit 701 is specifically configured to: determine the A first font set included in the first user's handwritten font record; performing font filtering from the at least one font resource library according to the first font set to obtain a second font set, the second font set and the first font set Any two fonts in a font set are different, and any two fonts in the second font set are different; the first handwriting of the first user is determined according to the fonts in the first font set and the second font set Font data.

In a possible example, in terms of determining the first user's first handwritten font data according to the fonts in the first font set and the second font set, the processing unit 701 is specifically configured to: Filtering out high-frequency use fonts from the second font set; displaying the high-frequency use fonts, updating the high-frequency use fonts according to a user's manual update operation; determining the updated high-frequency use fonts and the first The font set is the first handwritten font data of the first user.

In a possible example, in terms of the acquisition method of the first user's handwriting font record, the processing unit 701 is specifically configured to: output a handwriting font guidance interface; and acquire the first user's entry on the handwriting font guidance interface The first handwriting font data; and/or, query the input method usage record of the electronic device; extract the first handwriting font data in the handwriting keyboard mode from the input method usage record; and/or, obtain the first user by shooting Handwriting font image; generating first handwriting font data according to the handwriting font image; and/or, receiving first handwriting font data of a first user from a terminal or a server.

In a possible example, in terms of obtaining the first AI font model associated with the handwriting habits of the first user according to the first handwritten font data, the processing unit 701 is specifically configured to: according to the first handwritten font data Generate handwritten font sample data; use the handwritten font sample data to train a pre-configured AI font model to obtain a trained first AI font model.

In a possible example, in terms of obtaining the first AI font model associated with the handwriting habits of the first user according to the first handwriting font data, the processing unit 701 is specifically configured to: send the first handwriting to the server Font data; receiving a first AI font model from the server, the first AI font model is obtained by the server under the following operation: generating handwriting font sample data according to the first handwriting font data, using the The handwritten font sample data trains the pre-configured AI font model to obtain the first AI font model after training.

In a possible example, after the processing unit 701 generates the AI font resource library through the first AI font model, it is also used to: determine the high-frequency font used in the AI font resource library; call and display the The high-frequency font used in the AI font resource library; when a selection operation for the high-frequency font is detected, a handwriting perception area is output; the second handwriting font data entered by the user is obtained through the handwriting perception area; The first AI font model is trained through the second handwritten font data to update the first AI font model.

An embodiment of the present application further provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, which causes the computer to perform part or all of any method described in the method embodiments Step, the computer includes a mobile terminal.

An embodiment of the present application further provides a computer program product, the computer program product includes a non-transitory computer-readable storage medium storing the computer program, the computer program is operable to cause the computer to perform as described in the method embodiment Part or all of the steps of any method. The computer program product may be a software installation package, and the computer includes a mobile terminal.

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

In the several embodiments provided in this application, it should be understood that the disclosed device may be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the unit is only a logical function division. In actual implementation, there may be another division manner, for example, multiple units or components may be combined or may Integration into another system, or some features can be ignored, or not implemented. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical or other forms.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. The integrated unit may be implemented in the form of hardware or a software functional unit.

If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it may be stored in a computer-readable memory. Based on such an understanding, the technical solution of the present application may essentially be a part that contributes to the prior art or all or part of the technical solution may be embodied in the form of a software product, and the computer software product is stored in a memory, Several instructions are included to enable a computer device (which may be a personal computer, server, network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. The aforementioned memory includes: U disk, Read-Only Memory (ROM, Read-Only Memory), Random Access Memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

A person of ordinary skill in the art may understand that all or part of the steps in the various methods of the embodiments may be completed by instructing relevant hardware through a program. The program may be stored in a computer-readable memory, and the memory may include: flash memory Disk, read-only memory (English: Read-Only Memory, referred to as: ROM), random access device (English: Random Access Memory, referred to as: RAM), magnetic disk or optical disk, etc.

The embodiments of the present application are described in detail above, and specific examples are used in this article to explain the principles and implementation 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; Those of ordinary skill in the art, according to the ideas of the present application, will have changes in the specific implementation and application scope. In summary, the content of this specification should not be understood as a limitation to the present application.

Claims

A font setting method is characterized in that it is applied to electronic equipment, and the method includes:

Display a font setting interface, the font setting interface includes artificial intelligence AI font options;

When detecting the selection operation for the AI font option, determine at least one font resource library that meets the usage requirements of the first user, and the font resource library is a pre-configured font resource library with a fixed style;

Determine the first user's first handwritten font data according to the at least one font resource library and the first user's handwritten font record;

Obtaining a first AI font model associated with the handwriting habits of the first user according to the first handwriting font data;

Generating an AI font resource library through the first AI font model;

Call the font in the first AI font resource library to display text.
The method according to claim 1, wherein the determining at least one font resource library that meets the usage requirements of the first user includes:

Detecting whether the font resource library customized by the first user is included in the font resource library set;

When detecting that the font resource library set includes the font resource library customized by the first user, it is determined that the font resource library customized by the first user is a font resource library that meets the usage requirements of the first user.
The method according to claim 2, wherein the method further comprises:

When it is detected that the font resource library set does not include the font resource library customized by the first user, a font resource library selection interface is displayed, and the font resource library selection interface includes multiple font setting options;

When a selection operation for at least one font setting option among the plurality of font setting options is detected, a font resource library of the at least one font setting option is determined.
The method according to claim 2 or 3, wherein the determining the first user's first handwritten font data according to the at least one font resource library and the first user's handwritten font record includes:

Determining a first font set included in the first user's handwritten font record;

Performing font filtering from the at least one font resource library according to the first font set to obtain a second font set, which is different from any two fonts in the first font set, the second Any two fonts in the font collection are different;

The first handwritten font data of the first user is determined according to the fonts in the first font set and the second font set.
The method according to claim 4, wherein the determining the first handwritten font data of the first user according to the fonts in the first font set and the second font set includes:

Selecting high-frequency fonts from the second font set;

Displaying the high-frequency use font, and updating the high-frequency use font according to a user's manual update operation;

It is determined that the updated high frequency use font and the first font set are the first handwritten font data of the first user.
The method according to claim 4 or 5, wherein the acquisition method of the first user's handwritten font record includes any one of the following:

Output a handwritten font guide interface; obtain first handwritten font data entered by the first user on the handwritten font guide interface; and/or,

Query the input method usage record of the electronic device; extract the first handwriting font data in the handwriting keyboard mode from the input method usage record; and/or,

Capture the first user's handwritten font image by shooting; generate first handwritten font data according to the handwritten font image; and/or

Receive the first handwritten font data of the first user from the terminal or server.
The method according to any one of claims 1-6, wherein the obtaining the first AI font model associated with the handwriting habits of the first user according to the first handwriting font data includes:

Generating handwriting font sample data according to the first handwriting font data;

The pre-configured AI font model is trained using the handwritten font sample data to obtain the trained first AI font model.
The method according to any one of claims 1-6, wherein the obtaining the first AI font model associated with the handwriting habits of the first user according to the first handwriting font data includes:

Sending the first handwritten font data to the server;

Receiving a first AI font model from the server, the first AI font model is obtained by the server under the following operation: generating handwriting font sample data according to the first handwriting font data, using the handwriting font sample The data is used to train the pre-configured AI font model to obtain the trained first AI font model.
The method according to any one of claims 1-8, wherein after the AI font resource library is generated from the first AI font model, the method further includes:

Determine the high-frequency font used in the AI font resource library;

Call and display the high-frequency fonts in the AI font resource library;

Output a handwriting perception area when detecting a selection operation for the high-frequency use font;

Acquiring second handwritten font data entered by the user through the handwriting perception area;

The first AI font model is trained through the second handwritten font data to update the first AI font model.
An electronic device, characterized by comprising a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor The program includes instructions for performing the steps in the method of any one of claims 1-9.
A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program causes a computer to execute the computer program according to any one of claims 1-9 In the method, the computer includes a mobile terminal.