HK1227129B - Dynamically generating a personalized handwriting font system and method thereof - Google Patents

Description

System and method for dynamically generating personalized handwriting fonts

Technical Field

The present invention relates to a character creation system and method, and more particularly to a system and method for dynamically generating personalized handwritten fonts.

Background Art

Based on the number of characters used in standard encodings in Asian countries, Taiwan uses the Big5 standard, which includes 13,053 characters; China uses the GB2312 standard, which includes 6,763 characters; and the GB18030 standard, which includes 27,533 characters. Hong Kong also uses the Big5 standard, but includes 5,009 characters in its supplementary character set. Japan uses JISx0213, which includes 11,233 characters. Even the Unicode standard, which aims to include characters from around the world, continues to expand its character count, with Unicode 8.0 currently containing 120,737 characters.

Therefore, the number of characters used by people will only continue to increase. In digital systems, to use these characters, each character must be produced and put into various well-defined character codes, called codebooks.

Traditionally, creating a font that fills a codebook often takes years. To address this issue, methods such as stroke-based and component-based font creation have emerged, accelerating font creation by combining a small number of strokes or radicals to form the entire codebook character. However, stroke-based and component-based font creation methods are suitable for standard fonts such as Mingti, Heiti, Yuanti, and Kaiti. However, they are not suitable for personalized handwritten fonts with irregular stroke and handwriting patterns.

In response to the demand for personalized handwritten fonts, there needs to be a better method and system that allows users to easily generate fonts with their own personal style.

Summary of the Invention

One aspect of the present invention is to provide a method for dynamically generating personalized handwritten fonts, comprising: sequentially inputting multiple handwriting strokes through an input interface, wherein each handwriting stroke describes a character; sequentially identifying the relative positions of the strokes of the characters respectively described by the multiple handwriting strokes on the input interface; determining font features of the corresponding characters based on the relative position of each handwriting stroke on the input interface, wherein the font features include at least the spacing, intersection or connection positions of the strokes of the character and the length characteristics of the strokes; determining personalized font features based on the font features of the corresponding characters; and generating a new font file based on the personalized font features.

In one embodiment, generating a new font file according to the personalized font feature further includes: for an input word, generating a font of the input word using the personalized font feature as the new font file.

In one embodiment, generating a new font according to the personalized font characteristics further includes: adjusting a template font according to the personalized font characteristics; and using the adjusted template font as the new font file.

In one embodiment, generating a new font based on the personalized font feature further includes: defining at least one stroke constituting the character as a basic component; and for an input character having at least one stroke of the character, generating the at least one stroke of the input character using the basic component as the new font file.

In one embodiment, the method further includes placing the new font file into a web service application program interface (WebService API); and defining the new font on an Internet interface.

Another aspect of the present invention is to provide a system for dynamically generating personalized handwritten fonts, comprising: an input interface for sequentially receiving input of multiple handwriting strokes, wherein each handwriting stroke describes a character; a recognition unit for sequentially identifying the relative positions of the strokes of the characters respectively described by the multiple handwriting strokes on the input interface; a parsing unit for analyzing the font features of the corresponding characters based on the relative position of each handwriting stroke on the input interface, wherein the font features include at least the spacing, intersection or connection positions of the strokes of the character and the length features of the strokes, and determining personalized font features based on the font features of the corresponding character; and an adjustment unit for generating a new font file based on the personalized font features.

In one embodiment, the input interface is an electromagnetic, capacitive, or resistive touch sensor panel.

In one embodiment, a memory is further included for storing the personalized font features.

In one embodiment, the input interface and the identification unit are disposed on a handheld device, and the parsing unit and the adjustment unit are disposed on a remote server.

In one embodiment, generating a new font according to the personalized font feature further includes: adjusting a template font according to the personalized font feature by the adjustment unit to serve as the new font file.

In one embodiment, generating a new font according to the personalized font feature further includes: generating, by the adjustment unit, a font of an input word using the personalized font feature as the new font file.

In one embodiment, generating a new font based on the personalized font feature also includes: the parsing unit defining at least one stroke constituting the character as a basic component; and the adjustment unit generating the at least one stroke of the input character as the new font file using the basic component for an input character having the at least one stroke of the character.

In summary, through the system and method of the present invention, each user can edit his or her own personalized font through a handheld device and display it on a web page to show his or her uniqueness.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1A is a flow chart showing a method for analyzing handwriting input font features according to an embodiment of the present invention;

FIG1B is a diagram showing a system for performing handwriting input font feature analysis according to an embodiment of the present invention;

FIG2 is a schematic diagram showing a method for capturing handwriting input font features according to an embodiment of the present invention; and

FIG3 is a flow chart showing a method for dynamically generating personalized handwritten fonts according to an embodiment of the present invention.

FIG. 4 is a flow chart showing how the new font is applied to a network according to an embodiment of the present invention.

DETAILED DESCRIPTION

The following examples are described in detail with accompanying drawings to better understand the implementation of the present invention. However, the examples provided are not intended to limit the scope of the present invention, and the description of the structural operations is not intended to limit the order of their execution. Any structure recombined by the elements to produce a device with equal functionality is within the scope of the present invention. In addition, according to industry standards and common practices, the drawings are only for auxiliary explanation purposes and are not drawn according to the original size. In fact, the sizes of various features can be arbitrarily increased or reduced for ease of explanation. In the following description, the same elements will be labeled with the same symbols for ease of understanding.

Throughout the specification and claims, unless otherwise noted, the terms used generally have their ordinary meanings in the art, within the context of this disclosure, and in the specific context. Certain terms used to describe the present disclosure are discussed below or elsewhere in this specification to provide additional guidance to those skilled in the art regarding the description of the present disclosure.

Furthermore, the terms "include," "comprising," "having," and "containing" used in this disclosure are open-ended, meaning "including but not limited to." Furthermore, "and/or" used in this disclosure includes any one and all combinations of one or more of the listed items.

FIG1A is a flow chart of a method for analyzing handwriting input font features according to one embodiment of the present invention. FIG1B is a system diagram for implementing handwriting input font feature analysis. The handwriting input font feature analysis can be implemented as a computer program product (e.g., an application program) recorded on a storage medium (e.g., read-only memory, flash memory, floppy disk, hard disk, optical disk, portable disk, magnetic tape, a network-accessible database, or any other storage medium with similar functionality readily conceivable by those skilled in the art), allowing a computer system to read the storage medium and execute the handwriting input font feature analysis process.

For ease of explanation, please refer to Figures 1A and 1B. First, as shown in step 111, a handwriting is input through an input interface 121, and the handwriting describes at least one character. Then, as shown in step 112, the positions of each stroke in the handwriting are identified through a recognition module 122. In one embodiment, the input interface 121 is an electromagnetic, capacitive, or resistive touch-sensitive panel, and the user can input the handwriting using a stylus or the user's finger. The handwriting input by the user on the input interface 121 can be captured by the recognition module 122 to record the movement trajectory and corresponding position during input and form an electromagnetic record. This electromagnetic record records the corresponding position, length, and angle between each handwriting on the input interface 121, but is not limited to the above. In one embodiment, if the input interface 121 includes a force sensor, the recognition module 122 further captures the force sensor sensing value to record the force used to input the handwriting. Figure 2 shows a user inputting the character "永" (e.g., "forever") in handwriting on input interface 121. At this point, recognition module 122 captures the user's movement trajectory and corresponding position when inputting the character "永" on input interface 121 and records this as an electromagnetic record. In one embodiment, input interface 121 and recognition module 122 may be co-located on a networked device 120, such as a handheld device. Recognition module 122 may be implemented using software or hardware circuitry. If recognition module 122 is software, it may be stored in memory 123. During recognition, processor 124 of networked device 120 executes recognition module 122 in memory 123 to identify the position, length, and angle between strokes of each stroke in the input handwriting. Networked device 120 then transmits this electromagnetic record to remote server 130 via wireless or wired transmission for subsequent analysis and processing.

Next, in step 113, the input character features are analyzed based on the electromagnetic record. In one embodiment, after the remote server 130 receives the electromagnetic record transmitted by the networked device 120, the analysis module 131 in the remote server 130 analyzes the electromagnetic record to extract the position of each stroke of each input handwriting recorded therein, thereby analyzing the structural features of the user's input handwriting, including features such as the spacing between strokes, the intersection or connection positions between strokes, and the length of the strokes. For example, if the user inputs the character "永" ("eternal") as shown in FIG2 , the analysis module 131 can analyze the electromagnetic record to obtain the positions of the strokes that make up the character "永" relative to the input interface 121. By analyzing the relative positions of the strokes, the characteristics of each stroke (basic component) that makes up the character "永" (eternal), the spacing between the strokes, the intersection or connection positions between the strokes, the connection angles, and the length of the strokes can be obtained. The analysis module 131 can define at least one stroke that makes up the character "永" as a basic component for subsequent applications, as explained in the following paragraphs. For example, the character "永" (meaning "eternal" in Chinese) in FIG. 2 may include the spacing between strokes in region 200; the tilt angle of the strokes in region 201; the tilt angle of the stroke terminal in region 202; the tilt angle of the stroke terminal in region 203; and the angle of the upper hook of the stroke in region 204. The extracted font features are not limited to the above. Users can extract other font features as needed and store the features of the input font in memory 133. In one embodiment, the parsing module 131 is an application stored in memory 133 and executed by a microprocessor (not shown) of the remote server 130 to parse the input font features.

Then, step 114 is performed to determine whether the user inputs a handwriting again through the input interface 121. If the user inputs a handwriting again, steps 111-113 are repeated to capture the characteristics of the handwriting and record the characteristics of the handwriting in the memory 133. On the contrary, if the user does not input the handwriting again, step 115 is executed to summarize a personalized font feature based on the recorded handwriting features. For example, the writing angles of the user when writing oblique strokes are averaged to serve as the personalized font feature of the user's writing angle when writing oblique strokes; the stroke intervals when the user writes two strokes are averaged to serve as the personalized font feature of the stroke interval when the user writes two strokes; the angles when the user writes an overhang stroke are averaged to serve as the personalized font feature of the user's angle when writing an overhang stroke, etc. After obtaining a personalized font feature, in subsequent applications, the user-input character can be adjusted by an adjustment module 132 based on the personalized font feature so that the final character presented has the personalized font feature, or all characters in an existing font can be adjusted, for example, the tilt stroke angle and the distance between two strokes of a character in an existing font are adjusted based on the personalized font feature, and finally a personalized font file is generated in step 116. Accordingly, when the user subsequently inputs a character, the font of the character will be generated based on the personalized font file. In one embodiment, the adjustment module 132 is an application stored in the memory 133, which is executed by a microprocessor (not shown) of the remote server 130 to adjust the input character based on the personalized font feature.

FIG3 is a flow chart of a method for dynamically generating personalized handwritten fonts according to an embodiment of the present invention. The present invention provides three methods for generating personalized handwritten fonts for users to choose from, thereby creating new fonts with personalized font features. These methods include step 310, which directly generates a personalized font based on user-input characters; step 320, which generates a personalized font based on user-input font components; and step 330, which generates a personalized font by combining existing fonts. Generating a personalized font directly based on user-input characters 310 generates a corresponding personalized handwritten font based entirely on the user-input font. Font data for the desired personalized handwritten font must first be entered. Therefore, in step 311, the corresponding font is sequentially entered according to the character code arrangement, and this font data is uploaded to the remote server 130. Next, in step 312, a font file is generated based on the input font data and stored in the memory 133 of the remote server 130. Consequently, when the user subsequently enters the same font, the corresponding font can be retrieved from the memory 133 as the personalized font. In step 340, the personalized font is used as a new font file.

The personalized font 320 is generated based on the user's input font components because Chinese characters are composed of basic components. For example, the character "仙" (仙) is composed of two basic components, "亻" (亻) and "山" (山). These two basic components are also widely used in other characters. For example, the characters "你" (你) and "他" (他) both use the basic component "亻", while the character "岩" (岩) also uses the basic component "山". Therefore, once the user has input the character "仙", the system will store these two basic components "亻" and "山" (山) in the memory 133 of the remote server 130. Accordingly, when the user subsequently inputs a font that uses these two basic components, the stored font can be retrieved from the memory 133 and replaced with the user's written "亻" and "山" (山), generating a new font with personalized font characteristics. In order to allow the system to have enough basic components to generate new fonts with personalized font features, in step 321, the user must input a certain number of representative characters to obtain the basic components required to generate different fonts. The number of representative characters and the types of representative characters input can be determined by the user. Generally speaking, the more representative characters input, the more basic components are obtained. These basic components are stored in the memory 133 of the remote server 130. Then in step 322, fonts are generated based on these basic components. That is, when the user inputs a word later, the font of the user's input word will be generated based on these basic components, so that the input font has the user's personalized font. And in step 340, this personalized font is used as a new font file. It is worth noting that the basic components required to generate different fonts in step 321 also include performing the handwriting input font feature analysis process shown in Figure 1A to obtain each stroke that makes up the input character, so as to obtain at least one stroke that generates this font as a basic component. At the same time, personalized font features are obtained based on features such as the mutual spacing, intersection or connection positions between each stroke, and the length of the strokes, and these basic components are adjusted accordingly.

The personalized font 330 is generated by combining existing fonts. The personalized font features are summarized by analyzing the user's input behavior, and the existing fonts are adjusted based on these common features to produce the user's personalized font. Therefore, in step 331, the user must first select the type font to be formed, that is, select a type font from the existing fonts, for example, select one of the existing standard fonts or detailed fonts. The selected type font can then be adjusted based on the summarized personalized font features to obtain an existing font with personalized features. In order to adjust the personalized features of the selected type font, in step 332, the handwriting input font feature analysis process shown in Figure 1A is performed based on the characters input by the user to obtain personalized font features. In this step, the handwriting features of the user-entered font are analyzed, including features such as the spacing between strokes, the intersection or connection position, and the length of the strokes, and the features of this font are recorded in the memory 133 of the remote server 130. After all input fonts have been analyzed, a personalized font profile is generated based on the font profiles stored in memory 133. In step 333, the selected existing font is adjusted based on the font profile, so that the existing font has the user's personalized font profile and is more in line with the user's characteristics. In step 340, the personalized font is created as a new font file.

After the new font file is generated, the new font can be applied through the network. Figure 4 shows a flow chart of applying the new font to the network according to an embodiment of the present invention. In this process 400, first in step 410, it is determined whether the new font is a web font. If the new font is a web font, the new font can be placed in the network service application program interface (Web Service API) in step 420. And in step 430, the new font is defined on the Internet interface. On the contrary, if the new font is not a web font, the new font file must be downloaded in step 440 for subsequent application. And in step 450, the process ends. In this way, whether it is a web page or an APP, it is not restricted by whether the platform has installed new fonts. It can display the new fonts created by the user and present a web page with the user's personalized font characteristics.

In summary, through the system and method of the present invention, each user can edit his or her own personalized font through a handheld device and display it on a web page to show his or her uniqueness.

Although the present invention has been disclosed above in terms of embodiments, this is not intended to limit the present invention. Anyone skilled in the art may make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention shall be determined by the scope defined in the appended claims.

Claims (12)

1. A method for dynamically generating personalized handwritten fonts, characterized in that it includes: Input a handwriting via an input interface, wherein the handwriting describes a character, the character having at least one stroke; Identify the relative position of each stroke of the character on the input interface; The character shape features of the character are determined based on the relative position of each stroke on the input interface, wherein the character shape features include at least the spacing, intersection or connection position of each stroke that makes up the character and the length features of each stroke. Based on the glyph characteristics of the characters, determine a personalized glyph feature; and A new font file is generated based on the personalized font characteristics. 2. The method for dynamically generating personalized handwritten fonts according to claim 1, characterized in that, generating a new font file based on the personalized font features further includes: For an input character, the character type of the input character is generated using the personalized character type features and used as the new character type file. 3. The method for dynamically generating personalized handwritten fonts according to claim 1, characterized in that generating a new font based on the personalized font features further includes: Adjust a template font based on the personalized font characteristics; and Use the adjusted template font as the new font file. 4. The method for dynamically generating personalized handwritten fonts according to claim 1, characterized in that, generating a new font based on the personalized font features further includes: Define at least one stroke that makes up the character as a basic component; For an input character that has at least one stroke, the basic component is used to generate the at least one stroke of the input character as the new font file. 5. The method for dynamically generating personalized handwritten fonts according to claim 1, characterized in that it further includes: Place the new font file into the interface of a web service application; and Define this new font on an internet interface. 6. A system for dynamically generating personalized handwritten fonts, characterized in that it comprises: An input interface receives a handwriting sample, wherein the handwriting sample forms a character, and the character has at least one stroke. A recognition unit identifies the relative position of each stroke of the character on the input interface; A parsing unit analyzes the character's glyph features based on the relative position of each stroke on the input interface. These glyph features include at least the spacing, intersections, and connections of the strokes that make up the character, as well as the length of each stroke. Based on these glyph features, a personalized glyph feature is determined. An adjustment unit generates a new font file based on the personalized font characteristics. 7. The system for dynamically generating personalized handwritten characters according to claim 6, wherein the input interface is an electromagnetic, capacitive, or resistive touch-sensitive panel. 8. The system for dynamically generating personalized handwritten fonts according to claim 6, characterized in that it further includes a memory for storing the personalized font features. 9. The system for dynamically generating personalized handwritten characters according to claim 6, characterized in that the input interface and the recognition unit are disposed on a handheld device, and the parsing unit and the adjustment unit are disposed on a remote server. 10. The system for dynamically generating personalized handwritten fonts according to claim 6, characterized in that, generating a new font based on the personalized font features further includes: The adjustment unit adjusts a template font based on the personalized font characteristics to create the new font file. 11. The system for dynamically generating personalized handwritten fonts according to claim 6, characterized in that, generating a new font based on the personalized font features further includes: The adjustment unit generates a new font file for an input character using the personalized font features. 12. The system for dynamically generating personalized handwritten fonts according to claim 6, characterized in that, generating a new font based on the personalized font features further includes: The parsing unit defines at least one stroke that makes up the character as a basic component; The adjustment unit generates the at least one stroke of an input character as a new font file using the basic component.