CN104899560A - Character recognition method and stylus - Google Patents
Character recognition method and stylus Download PDFInfo
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- CN104899560A CN104899560A CN201510279740.8A CN201510279740A CN104899560A CN 104899560 A CN104899560 A CN 104899560A CN 201510279740 A CN201510279740 A CN 201510279740A CN 104899560 A CN104899560 A CN 104899560A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/32—Digital ink
- G06V30/333—Preprocessing; Feature extraction
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/32—Digital ink
- G06V30/36—Matching; Classification
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Abstract
The present invention discloses a character recognition method and a stylus. The character recognition method comprises the following steps of: acquiring handwriting data of the stylus in the writing process; according to the handwriting data, extracting numerical characteristic information of each character; and acquiring standard characteristic information of pre-stored characters, and according to the standard characteristic information, recognizing characters corresponding to the extracted numerical characteristic information of each character. According to the character recognition method and the stylus, electronization of paper documents can be implemented; long-term storage of written contents is facilitated and subsequent inquiry is convenient; the written contents are not required to input into intelligent terminals such as a computer and the like in a manual mode, so that input workload is greatly reduced.
Description
Technical field
The present invention relates to character recognition technologies field, particularly relate to a kind of recognition methods and writing pencil of character.
Background technology
In daily life or work, in a lot of occasions such as examination hall or meeting scenes, user generally depends on writing pencil at the enterprising running hand write record of paper document, but paper document stores certain time limit, be unfavorable for longer-term storage, and exist very large not convenient in subsequent query process.If by the intelligent terminals such as recorded Data Enter computing machine time, also need by it with the typing one by one of the mode of manual typing, efficiency of inputting is low, and typing workload is large.
Foregoing, only for auxiliary understanding technical scheme of the present invention, does not represent and admits that foregoing is prior art.
Summary of the invention
Fundamental purpose of the present invention is the recognition methods and the writing pencil that provide a kind of character, is intended to solve the simplification of existing writing pencil writing function, is unfavorable for the record typing of content and the technical matters of storage.
For achieving the above object, the invention provides a kind of recognition methods of character, the recognition methods of described character comprises the following steps:
Obtain the written handwriting data of writing pencil when writing;
The digital feature information of each character is extracted according to described written handwriting data;
Obtain the standard feature information of character prestored, the character that the digital feature information of each character extracted according to the identification of described standard feature information is corresponding.
Preferably, the described step extracting the digital feature information of each character according to described written handwriting data comprises:
Described written handwriting data are carried out binary conversion treatment, and discretize is carried out to the view data obtained after binary conversion treatment, obtain matrix data;
Described matrix data is carried out track dividing processing;
Extract the digital feature information of each character in the matrix data after dividing processing.
Preferably, the standard feature information of the character that described acquisition prestores, the step of the character that the digital feature information of each character extracted according to the identification of described standard feature information is corresponding comprises:
Obtain the standard feature information of the character prestored, calculate the digital feature information of described each character and the similarity of described standard feature information;
Obtain similarity and reach character corresponding to the standard feature information of predetermined threshold value as character corresponding to the digital feature information of described each character.
Preferably, the standard feature information of the character that described acquisition prestores, comprises after the step of the character that the digital feature information of each character extracted according to the identification of described standard feature information is corresponding:
Store the described character identifying and obtain;
Stored character is sent to terminal.
Preferably, comprise before the step of the written handwriting data of described acquisition writing pencil when writing:
Obtain the force value that described writing pencil is subject to;
When described force value reaches predetermined threshold value, respond to acceleration information when described writing pencil moves on three direction of principal axis;
Described handwriting data are generated according to described acceleration information.
In addition, for achieving the above object, the present invention also provides a kind of writing pencil, and described writing pencil comprises character recognition module, and described character recognition module comprises:
Acquiring unit, for obtaining the written handwriting data of writing pencil when writing;
Extraction unit, for extracting the digital feature information of each character according to described written handwriting data;
Recognition unit, for obtaining the standard feature information of the character prestored, the character that the digital feature information of each character extracted according to the identification of described standard feature information is corresponding.
Preferably, described extraction unit specifically for described written handwriting data are carried out binary conversion treatment, and carries out discretize to the view data obtained after binary conversion treatment, obtains matrix data; Described matrix data is carried out track dividing processing; Extract the digital feature information of each character in the matrix data after dividing processing.
Preferably, described recognition unit, specifically for obtaining the standard feature information of the character prestored, calculates the digital feature information of described each character and the similarity of described standard feature information; Obtain similarity and reach character corresponding to the standard feature information of predetermined threshold value as character corresponding to the digital feature information of described each character.
Preferably, described writing pencil also comprises:
Memory module, for storing the described character identifying and obtain;
Sending module, for sending to terminal by stored character.
Preferably, described writing pencil also comprises:
Pressure sensor block, for obtaining the force value that described writing pencil is subject to;
Processing module, for judging whether described force value reaches predetermined threshold value;
If so, acceleration sensing module, for responding to acceleration information when described writing pencil moves on three direction of principal axis;
Generation module, for generating described handwriting data according to described acceleration information.
The recognition methods of a kind of character of the present invention and writing pencil, built-in relevant sensing device in writing pencil, induction obtains the written handwriting data of writing pencil when writing, by writing pencil in writing process, written handwriting data are extracted to the digital feature information of each character, to go forward side by side line character identification, can realize, by paper document electronization, being conducive to the long-term preservation of written contents, and being convenient to follow-up inquiry; Not need written contents, by the intelligent terminals such as artificial mode input computer, to greatly reduce typing workload.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of recognition methods one embodiment of character of the present invention;
Fig. 2 is the refinement schematic flow sheet of step S102 in Fig. 1;
Fig. 3 is the refinement schematic flow sheet of step S103 in Fig. 1;
Fig. 4 is the high-level schematic functional block diagram of writing pencil first embodiment of the present invention;
Fig. 5 is the high-level schematic functional block diagram of writing pencil second embodiment of the present invention;
Fig. 6 is the high-level schematic functional block diagram of writing pencil of the present invention 3rd embodiment.
The realization of the object of the invention, functional characteristics and advantage will in conjunction with the embodiments, are described further with reference to accompanying drawing.
Embodiment
Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
The invention provides a kind of recognition methods of character, with reference to Fig. 1, in one embodiment, the recognition methods of this character comprises:
Step S101, obtains the written handwriting data of writing pencil when writing;
In the present embodiment, writing pencil built-in acceleration senser element, acceleration sensor device can be such as three-axis gyroscope, writing pencil is when writing, acceleration sensor device can sense its acceleration on three direction of principal axis, by the accekeration on three direction of principal axis, can analyze the movement locus obtaining the nib of writing pencil when writing, record the movement locus of this nib, the written handwriting data using the movement locus of this nib as the present embodiment.
Step S102, extracts the digital feature information of each character according to described written handwriting data;
In the present embodiment, written handwriting data can not reflect the character of user when writing more exactly, therefore, need to carry out corresponding image procossing to written handwriting data: carry out binary conversion treatment to written handwriting data, obtain the binary image only having black and white two kinds of gray scales, then binary image is carried out discretize, the digital feature information of each character in matrix data is obtained after extracting sliding-model control, in this way, after the digital feature information getting the character that user writes, can identify digital feature information, more adequately obtain the character that user writes.
In the present embodiment, written handwriting data are being carried out in the process of corresponding image procossing, more corresponding extra process can be done, such as first can carry out denoising to written handwriting data, remove the disturbing factor obviously existed, to improve the accuracy of the digital feature information of extracted character.
In addition, the present embodiment is not limited to above-mentioned mode of written handwriting data being carried out to corresponding image procossing, and other image procossing modes can extract the mode of the digital feature information of each character in written handwriting data all in the protection domain of the present embodiment.
Step S103, obtains the standard feature information of character prestored, the character that the digital feature information of each character extracted according to the identification of described standard feature information is corresponding.
In the present embodiment, obtain the standard feature information of the character prestored, contrast standard characteristic information and the digital feature information of each character extracted, and the similarity both calculating, the character getting the maximum standard feature information of similarity corresponding finally identifies the character obtained as the present embodiment, namely as the character of user writing, this finally identifies that the character obtained is the character of electronics shelves.
In the present embodiment, the character identified can be Chinese character or other character, as English character or French character etc.
In the present embodiment, final identify obtain character after, can also based on context relation further, adopt natural language to carry out connection handling, obtain character more accurately to identify.
The present embodiment can be applied in a lot of scene based on the recognition methods of the character of writing pencil:
1, reporter's field notes press spokesman answers emphasis, writing pencil is used to carry out record by the present embodiment in writing process, the content recorded can convert electronic document in time, below electronic document is slightly made an amendment and just can send out news release, ensure the real-time of news, do not need to carry out typing according to document;
2, student uses writing pencil to take notes on classroom, by notes synchronized upload in the terminals such as mobile phone, it can be facilitated to check notes at any time, do not need to carry special notebook, and have obvious advantage in notes inquiry and arrangement;
3, staff uses writing pencil to do meeting summary, meeting summary can synchronized upload to computer, save staff in the operation manually carrying out after the meeting arranging;
Use writing pencil to take travel notes when 4, going out, can the trouble of carrying the relatively large electronic equipments such as computer be removed from, and the miniaturized electronics input efficiencies such as carrying mobile phone are lower.
Compared with prior art, the present embodiment is built-in relevant sensing device in writing pencil, induction obtains the written handwriting data of writing pencil when writing, by writing pencil in writing process, written handwriting data are extracted to the digital feature information of each character, to go forward side by side line character identification, can realize, by paper document electronization, being conducive to the long-term preservation of written contents, and being convenient to follow-up inquiry; Not need written contents, by the intelligent terminals such as artificial mode input computer, to greatly reduce typing workload.
In a preferred embodiment, as shown in Figure 2, on the basis of the embodiment of above-mentioned Fig. 1, above-mentioned steps S102 comprises:
Described written handwriting data are carried out binary conversion treatment, and are carried out discretize to the view data obtained after binary conversion treatment, obtain matrix data by step S1021;
Step S1022, carries out track dividing processing by described matrix data;
Step S1023, extracts the digital feature information of each character in the matrix data after dividing processing.
In the present embodiment, after getting the written handwriting data of writing pencil when writing, first can carry out noise reduction process to written handwriting data, to remove the disturbing factor obviously existed.Then adopt binary conversion treatment, written handwriting data are converted to the binary image only having black (1) and white (0) two kind of gray scale, after discretize binary image, just become the matrix data of 0 and 1.
The present embodiment can adopt method of interpolation to be normalized the matrix data after discretize, then the matrix data after normalized is carried out track segmentation, to be divided into matrix function corresponding to single character, adopt Gaussian-Hermite equation to carry out the feature extraction of matrix data, thus extract the digital feature information of each character.
In a preferred embodiment, as shown in Figure 3, on the basis of the embodiment of above-mentioned Fig. 1, above-mentioned steps S103 comprises:
Step S1031, obtains the standard feature information of the character prestored, calculates the digital feature information of described each character and the similarity of described standard feature information;
Step S1032, obtains similarity and reaches character corresponding to the standard feature information of predetermined threshold value as character corresponding to the digital feature information of described each character.
In the present embodiment, obtain the standard feature information of the character prestored, by template matching method, the standard feature information of the digital feature information of single character with the character prestored is contrasted, and the similarity of the digital feature information calculating each character and the standard feature information of character prestored, getting similarity, to reach character corresponding to the standard feature information of predetermined threshold value be the character that the digital feature information of each character is corresponding, namely identifies write character.
In the present embodiment, final identify obtain character after, can also based on context relation further, adopt natural language to carry out connection handling, obtain character more accurately to identify.
In a preferred embodiment, on the basis of the embodiment of above-mentioned Fig. 1, also comprise after above-mentioned steps S103: store the described character identifying and obtain; Stored character is sent to terminal.
In the present embodiment, internal memory in writing pencil, can be stored in storer by the character identified, and is conducive to the long-term preservation of recorded content.
In addition, all right built-in radio communication device in writing pencil, such as built Bluetooth module or near field communication module, when after writing pencil open communication function, stored content can be sent other-end, other-end can carry out showing or longer-term storage.
In a preferred embodiment, on the basis of the embodiment of above-mentioned Fig. 1, also comprised before above-mentioned steps S101: obtain the force value that described writing pencil is subject to; Judge whether described force value reaches predetermined threshold value; When described force value reaches predetermined threshold value, respond to acceleration information when described writing pencil moves on three direction of principal axis; Described handwriting data are generated according to described acceleration information.
In the present embodiment, can at the built-in pressure transducer of writing pencil, processor and acceleration transducer, acceleration transducer is preferably three-axis gyroscope, can collect the acceleration information of writing pencil on three direction of principal axis.By the force value that pressure transducer acquisition writing pencil is subject to, force value is sent to processor, processor judges whether this force value reaches predetermined threshold value, if do not reach predetermined threshold value, then judge writing pencil current be not be in the state of writing, if reach predetermined threshold value, then judge that writing pencil is current and be in the state of writing.Write pen current be in write state time, signal corresponding for this state is sent to acceleration transducer by processor, gathers relevant acceleration information with starting loop sensor, then generates handwriting data according to acceleration information.
The present invention also provides a kind of writing pencil, and as shown in Figure 4, in one embodiment, writing pencil comprises character recognition module 10, and described character recognition module 10 comprises:
Acquiring unit 101, for obtaining the written handwriting data of writing pencil when writing;
In the present embodiment, writing pencil built-in acceleration senser element, acceleration sensor device can be such as three-axis gyroscope, writing pencil is when writing, acceleration sensor device can sense its acceleration on three direction of principal axis, by the accekeration on three direction of principal axis, can analyze the movement locus obtaining the nib of writing pencil when writing, record the movement locus of this nib, the written handwriting data using the movement locus of this nib as the present embodiment.
Extraction unit 102, for extracting the digital feature information of each character according to described written handwriting data;
In the present embodiment, written handwriting data can not reflect the character of user when writing more exactly, therefore, need to carry out corresponding image procossing to written handwriting data: carry out binary conversion treatment to written handwriting data, obtain the binary image only having black and white two kinds of gray scales, then binary image is carried out discretize, the digital feature information of each character in matrix data is obtained after extracting sliding-model control, in this way, after the digital feature information getting the character that user writes, can identify digital feature information, more adequately obtain the character that user writes.
In the present embodiment, written handwriting data are being carried out in the process of corresponding image procossing, more corresponding extra process can be done, such as first can carry out denoising to written handwriting data, remove the disturbing factor obviously existed, to improve the accuracy of the digital feature information of extracted character.
In addition, the present embodiment is not limited to above-mentioned mode of written handwriting data being carried out to corresponding image procossing, and other image procossing modes can extract the mode of the digital feature information of each character in written handwriting data all in the protection domain of the present embodiment.
Recognition unit 103, for obtaining the standard feature information of the character prestored, the character that the digital feature information of each character extracted according to the identification of described standard feature information is corresponding.
In the present embodiment, obtain the standard feature information of the character prestored, contrast standard characteristic information and the digital feature information of each character extracted, and the similarity both calculating, the character getting the maximum standard feature information of similarity corresponding finally identifies the character obtained as the present embodiment, namely as the character of user writing, this finally identifies that the character obtained is the character of electronics shelves.
In the present embodiment, the character identified can be Chinese character or other character, as English character or French character etc.
In the present embodiment, final identify obtain character after, can also based on context relation further, adopt natural language to carry out connection handling, obtain character more accurately to identify.
The present embodiment can be applied in a lot of scene based on the recognition methods of the character of writing pencil:
1, reporter's field notes press spokesman answers emphasis, writing pencil is used to carry out record by the present embodiment in writing process, the content recorded can convert electronic document in time, below electronic document is slightly made an amendment and just can send out news release, ensure the real-time of news, do not need to carry out typing according to document;
2, student uses writing pencil to take notes on classroom, by notes synchronized upload in the terminals such as mobile phone, it can be facilitated to check notes at any time, do not need to carry special notebook, and have obvious advantage in notes inquiry and arrangement;
3, staff uses writing pencil to do meeting summary, meeting summary can synchronized upload to computer, save staff in the operation manually carrying out after the meeting arranging;
Use writing pencil to take travel notes when 4, going out, can the trouble of carrying the relatively large electronic equipments such as computer be removed from, and the miniaturized electronics input efficiencies such as carrying mobile phone are lower.
Compared with prior art, the present embodiment is built-in relevant sensing device in writing pencil, induction obtains the written handwriting data of writing pencil when writing, by writing pencil in writing process, written handwriting data are extracted to the digital feature information of each character, to go forward side by side line character identification, can realize, by paper document electronization, being conducive to the long-term preservation of written contents, and being convenient to follow-up inquiry; Not need written contents, by the intelligent terminals such as artificial mode input computer, to greatly reduce typing workload.
In a preferred embodiment, on the basis of the embodiment of above-mentioned Fig. 4, extraction unit 102 specifically for described written handwriting data are carried out binary conversion treatment, and carries out discretize to the view data obtained after binary conversion treatment, obtains matrix data; Described matrix data is carried out track dividing processing; Extract the digital feature information of each character in the matrix data after dividing processing.
In the present embodiment, after getting the written handwriting data of writing pencil when writing, first can carry out noise reduction process to written handwriting data, to remove the disturbing factor obviously existed.Then adopt binary conversion treatment, written handwriting data are converted to the binary image only having black (1) and white (0) two kind of gray scale, after discretize binary image, just become the matrix data of 0 and 1.
The present embodiment can adopt method of interpolation to be normalized the matrix data after discretize, then the matrix data after normalized is carried out track segmentation, to be divided into matrix function corresponding to single character, adopt Gaussian-Hermite equation to carry out the feature extraction of matrix data, thus extract the digital feature information of each character.
In a preferred embodiment, on the basis of the embodiment of above-mentioned Fig. 4, recognition unit 103, specifically for obtaining the standard feature information of the character prestored, calculates the digital feature information of described each character and the similarity of described standard feature information; Obtain similarity and reach character corresponding to the standard feature information of predetermined threshold value as character corresponding to the digital feature information of described each character.
In the present embodiment, obtain the standard feature information of the character prestored, by template matching method, the standard feature information of the digital feature information of single character with the character prestored is contrasted, and the similarity of the digital feature information calculating each character and the standard feature information of character prestored, getting similarity, to reach character corresponding to the standard feature information of predetermined threshold value be the character that the digital feature information of each character is corresponding, namely identifies write character.
In the present embodiment, final identify obtain character after, can also based on context relation further, adopt natural language to carry out connection handling, obtain character more accurately to identify.
In a preferred embodiment, as shown in Figure 5, on the basis of the embodiment of above-mentioned Fig. 4, described writing pencil also comprises:
Memory module 20, for storing the described character identifying and obtain;
Sending module 30, for sending to terminal by stored character.
In the present embodiment, built-in memory module 20 in writing pencil, can be stored in storer by the character identified, and is conducive to the long-term preservation of recorded content.
In addition, all right built-in radio communication device in writing pencil, such as built Bluetooth module or near field communication module, when after writing pencil open communication function, stored content can be sent other-end by sending module 30, and other-end can carry out showing or longer-term storage.
In a preferred embodiment, as shown in Figure 6, on the basis of the embodiment of above-mentioned Fig. 4, described writing pencil also comprises:
Pressure sensor block 01, for obtaining the force value that described writing pencil is subject to;
Processing module 02, for judging whether described force value reaches predetermined threshold value;
If so, acceleration sensing module 03, for responding to acceleration information when described writing pencil moves on three direction of principal axis;
Generation module 04, for generating described handwriting data according to described acceleration information.
In the present embodiment, acceleration sensing module 03 is preferably three-axis gyroscope, can collect the acceleration information of writing pencil on three direction of principal axis.The force value that writing pencil is subject to is obtained by pressure sensor block 01, force value is sent to processing module 02, processing module 02 judges whether this force value reaches predetermined threshold value, if do not reach predetermined threshold value, then judge writing pencil current be not be in the state of writing, if reach predetermined threshold value, then judge that writing pencil is current and be in the state of writing.Write pen current be in write state time, signal corresponding for this state is sent to acceleration sensing module 03 by processing module 02, gathers relevant acceleration information with starting loop sensing module 03, then generates handwriting data according to acceleration information.
These are only the preferred embodiments of the present invention; not thereby the scope of the claims of the present invention is limited; every utilize instructions of the present invention and accompanying drawing content to do equivalent structure or equivalent flow process conversion; or be directly or indirectly used in other relevant technical fields, be all in like manner included in scope of patent protection of the present invention.
Claims (10)
1. a recognition methods for character, is characterized in that, the recognition methods of described character comprises the following steps:
Obtain the written handwriting data of writing pencil when writing;
The digital feature information of each character is extracted according to described written handwriting data;
Obtain the standard feature information of character prestored, the character that the digital feature information of each character extracted according to the identification of described standard feature information is corresponding.
2. the recognition methods of character as claimed in claim 1, it is characterized in that, the described step extracting the digital feature information of each character according to described written handwriting data comprises:
Described written handwriting data are carried out binary conversion treatment, and discretize is carried out to the view data obtained after binary conversion treatment, obtain matrix data;
Described matrix data is carried out track dividing processing;
Extract the digital feature information of each character in the matrix data after dividing processing.
3. the recognition methods of character as claimed in claim 2, is characterized in that, the standard feature information of the character that described acquisition prestores, and the step of the character that the digital feature information of each character extracted according to the identification of described standard feature information is corresponding comprises:
Obtain the standard feature information of the character prestored, calculate the digital feature information of described each character and the similarity of described standard feature information;
Obtain similarity and reach character corresponding to the standard feature information of predetermined threshold value as character corresponding to the digital feature information of described each character.
4. the recognition methods of character as claimed in claim 1, is characterized in that, the standard feature information of the character that described acquisition prestores, and comprises after the step of the character that the digital feature information of each character extracted according to the identification of described standard feature information is corresponding:
Store the described character identifying and obtain;
Stored character is sent to terminal.
5. the recognition methods of the character as described in claim 1 or 4, is characterized in that, comprises before the step of the written handwriting data of described acquisition writing pencil when writing:
Obtain the force value that described writing pencil is subject to;
When described force value reaches predetermined threshold value, respond to acceleration information when described writing pencil moves on three direction of principal axis;
Described handwriting data are generated according to described acceleration information.
6. a writing pencil, is characterized in that, described writing pencil comprises character recognition module, and described character recognition module comprises:
Acquiring unit, for obtaining the written handwriting data of writing pencil when writing;
Extraction unit, for extracting the digital feature information of each character according to described written handwriting data;
Recognition unit, for obtaining the standard feature information of the character prestored, the character that the digital feature information of each character extracted according to the identification of described standard feature information is corresponding.
7. writing pencil as claimed in claim 6, it is characterized in that, described extraction unit specifically for described written handwriting data are carried out binary conversion treatment, and carries out discretize to the view data obtained after binary conversion treatment, obtains matrix data; Described matrix data is carried out track dividing processing; Extract the digital feature information of each character in the matrix data after dividing processing.
8. writing pencil as claimed in claim 7, is characterized in that, described recognition unit, specifically for obtaining the standard feature information of the character prestored, calculates the digital feature information of described each character and the similarity of described standard feature information; Obtain similarity and reach character corresponding to the standard feature information of predetermined threshold value as character corresponding to the digital feature information of described each character.
9. writing pencil as claimed in claim 6, it is characterized in that, described writing pencil also comprises:
Memory module, for storing the described character identifying and obtain;
Sending module, for sending to terminal by stored character.
10. the writing pencil as described in claim 6 or 9, is characterized in that, described writing pencil also comprises:
Pressure sensor block, for obtaining the force value that described writing pencil is subject to;
Processing module, for judging whether described force value reaches predetermined threshold value;
If so, acceleration sensing module, for responding to acceleration information when described writing pencil moves on three direction of principal axis;
Generation module, for generating described handwriting data according to described acceleration information.
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| CN105654080A (en) * | 2015-12-22 | 2016-06-08 | 广东小天才科技有限公司 | Operation control method and device for stylus pen |
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| CN112487871A (en) * | 2020-11-10 | 2021-03-12 | 深圳市鹰硕教育服务有限公司 | Handwriting data processing method and device and electronic equipment |
| CN112486337A (en) * | 2020-11-17 | 2021-03-12 | 深圳市鹰硕教育服务有限公司 | Handwriting graph analysis method and device and electronic equipment |
| CN112487876A (en) * | 2020-11-12 | 2021-03-12 | 深圳市鹰硕教育服务有限公司 | Intelligent pen character recognition method and device and electronic equipment |
| CN112487881A (en) * | 2020-11-13 | 2021-03-12 | 深圳市鹰硕教育服务有限公司 | Handwriting content analysis method and device and electronic equipment |
| CN113011412A (en) * | 2021-04-15 | 2021-06-22 | 深圳市鹰硕云科技有限公司 | Character recognition method, device, equipment and storage medium based on stroke order and OCR (optical character recognition) |
| CN115761781A (en) * | 2023-01-06 | 2023-03-07 | 江苏狄诺尼信息技术有限责任公司 | Note image data identification system for engineering electronic archives |
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| CN113011412B (en) * | 2021-04-15 | 2024-07-16 | 深圳市鹰硕云科技有限公司 | Method, device, equipment and storage medium for recognizing characters based on stroke order and OCR |
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Application publication date: 20150909 |