CN111400692B - Electronic output system and method for hand-drawn pictures and texts - Google Patents

Electronic output system and method for hand-drawn pictures and texts Download PDF

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Publication number
CN111400692B
CN111400692B CN202010144801.0A CN202010144801A CN111400692B CN 111400692 B CN111400692 B CN 111400692B CN 202010144801 A CN202010144801 A CN 202010144801A CN 111400692 B CN111400692 B CN 111400692B
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hand
drawn
output
module
handwriting
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CN111400692A (en
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谢勋
茹浩磊
邹文迪
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Ningbo Trencon Intelligent Technology Co ltd
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Ningbo Trencon Intelligent Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31User authentication
    • G06F21/36User authentication by graphic or iconic representation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • G06T11/80Creating or modifying a manually drawn or painted image using a manual input device, e.g. mouse, light pen, direction keys on keyboard
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/30Writer recognition; Reading and verifying signatures

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Security & Cryptography (AREA)
  • Computer Hardware Design (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • User Interface Of Digital Computer (AREA)
  • Collating Specific Patterns (AREA)

Abstract

The application relates to an electronic output system and method for hand-drawn pictures and texts, wherein the system comprises: the layer identification module is used for dividing the hand-drawn text into layers according to the handwriting attribute of the hand-drawn text in the output instruction; the handwriting conversion module is used for respectively converting the handwriting in each obtained layer into a stroke path and converting the stroke path into a computer language; and the output module is used for sequentially carrying out drawing and writing output of each layer according to the computer language. The application can conveniently output the hand-drawn pictures and texts by replacing the electronic output system of the hand-drawn pictures and texts under the condition that the party is not on site but the party is required to sign or draw the pictures and texts, and can safely provide the picture and text output result which has extremely high similarity with the relatives and the writing or is completely the same with the relatives and the writing and texts.

Description

Electronic output system and method for hand-drawn pictures and texts
Technical Field
The application relates to the technical field of information processing, in particular to an electronic output system and an electronic output method for hand-drawn pictures and texts.
Background
With the development of the computer network technology field, people pay more and more attention to information security, especially many scenes related to information security (such as economic activities, etc.), so handwriting signature becomes a key for ensuring the validity of business decision. Such as various money transfers, transfer agreements, paperwork, etc., often require a personal signature of the party, but there are often situations where the normal flow of transactions is delayed because the party cannot arrive in time.
In the related technology, the signature picture of the principal is transmitted to the site, and the site proxy copy or proxy draw the signature picture and write the signature picture by a writing machine, but the profile word obtained by the method has larger difference with the related signature of the principal; meanwhile, when the graph drawn by the person at the time is needed, the graph with extremely high similarity to the drawing of the person at the time is more difficult to obtain through the mode.
Disclosure of Invention
The application aims to provide an electronic output system and an electronic output method for hand-drawn pictures and texts, so that the problem that the hand-drawn pictures and texts of a party who is not on site cannot be accurately obtained due to the limitations and defects of the related technology is solved at least to a certain extent.
In order to achieve the above purpose, the technical scheme adopted by the application is as follows:
according to one aspect of the present application, there is provided an electronic output system for hand-drawn pictures and texts, comprising:
the layer identification module is used for dividing the hand-drawn text into layers according to the handwriting attribute of the hand-drawn text in the output instruction;
the handwriting conversion module is used for respectively converting the handwriting in each obtained layer into a stroke path and converting the stroke path into a computer language;
and the output module is used for sequentially carrying out drawing and writing output of each layer according to the computer language.
In an exemplary embodiment of the application, the handwriting attributes include handwriting color, handwriting line width, and/or handwriting line type;
the layer recognition module divides the hand-drawn text into different layers according to different handwriting colors, handwriting line widths and/or handwriting line types.
In an exemplary embodiment of the present application, the handwriting conversion module includes a node recognition unit, a node connection unit, and a conversion unit;
the node identification unit is used for identifying handwriting in the layer as a plurality of nodes;
the node connection unit is used for connecting the plurality of nodes obtained by the node identification unit to form a stroke path;
and the conversion unit is used for converting the stroke path into a computer language.
In an exemplary embodiment of the application, the electronic output system further comprises an adjustment module for adjusting nodes on the stroke path and/or adjusting node connection lines on the stroke path.
In an exemplary embodiment of the application, the system further comprises a security verification module; the safety verification module is used for confirming the use authority of an operator through safety verification of the output instruction. In an exemplary embodiment of the present application, the output module includes a selection unit and a drawing unit;
the selection unit is used for selecting the drawing medium corresponding to each layer based on a computer language;
the drawing unit is used for drawing and writing output of the corresponding image layer by taking the drawing medium as a medium.
In an exemplary embodiment of the present application, the electronic output system further includes a memory module and a main control module;
the storage module is used for comparing and storing the hand-drawn pictures and texts and stroke paths corresponding to the hand-drawn pictures and texts;
the main control module is used for issuing an output instruction of the hand-drawn pictures and texts and displaying the output progress of the electronic drawing and writing of the output module; the method comprises the steps of,
before issuing an output instruction of the hand-drawn image, comparing the current hand-drawn image with hand-drawn images prestored in a storage module, and calling a target stroke path corresponding to the current hand-drawn image from the storage module according to a comparison result.
According to one aspect of the present application, there is provided an electronic output method for hand-drawn pictures and texts, comprising:
dividing the hand-drawn text into layers according to handwriting attributes of the hand-drawn text in the output instruction;
converting the handwriting in each divided layer into stroke paths respectively, and converting the stroke paths into computer languages;
and sequentially carrying out drawing and writing output of each layer according to the computer language.
In an exemplary embodiment of the application, the handwriting attribute includes handwriting color and/or handwriting line type;
dividing the hand drawing text into different layers according to different handwriting colors and/or handwriting line types.
In an exemplary embodiment of the present application, before the drawing output of each layer sequentially according to the computer language, the method further includes:
and carrying out safety verification on the output instruction to confirm that the operator has the use authority.
In an exemplary embodiment of the present application, the converting handwriting in each divided layer into a stroke path includes:
recognizing handwriting in the layer as a plurality of nodes, and connecting the obtained nodes to form a stroke path.
In an exemplary embodiment of the present application, the sequentially performing drawing output of each layer according to the computer language includes:
selecting a drawing medium corresponding to each layer based on a computer language;
and carrying out drawing and writing output of the corresponding layer by taking the drawing and writing medium as a medium.
The application has the beneficial effects that:
according to the electronic output system of the hand-drawn pictures and texts, firstly, the picture layer identification module divides the hand-drawn pictures and texts according to the handwriting attribute in the hand-drawn pictures and texts; secondly, respectively converting handwriting in each obtained layer into stroke paths through a handwriting conversion module, and converting the stroke paths into computer languages; and finally, sequentially carrying out electronic drawing and writing output of each layer according to a computer language through an output module. The method can provide the image-text output result which has extremely high similarity with the personally drawn image-text of the personally submitted person or is completely the same with the personally submitted person to write the image-text of the personally submitted person under the condition that the personally submitted person is not on site but the personally submitted person is required to sign or draw the image-text, thereby avoiding influencing the transaction processing efficiency due to the fact that the personally submitted person is not on site and saving manpower and material resources.
Furthermore, the drawing text of the principal can be divided into different layers through the layer identification module according to different handwriting colors, handwriting line widths and/or handwriting line types, handwriting in the layers corresponding to the different handwriting colors, the handwriting line widths or the handwriting line types can be conveniently and subsequently converted into stroke paths respectively, the stroke paths in each layer are converted into a computer language, each layer is sequentially output through the output module, and a final output result of the drawing text is finally obtained.
Furthermore, the handwriting conversion module can identify handwriting in the layer as a plurality of nodes, and connect the plurality of nodes to obtain a stroke path, and after the stroke path is obtained, the node and a node connecting line on the converted stroke path can be regulated through the regulating module, so that lines of handwriting pictures and texts are smoother, the lines are closer to pictures and texts which are personally drawn by a person, and the accuracy of stroke path conversion is further ensured.
Furthermore, the output module can select the corresponding drawing medium of each layer to draw based on the computer language, and ensure that each layer is consistent with the original hand-drawn image on the drawing medium, thereby improving the accuracy of outputting the hand-drawn image.
Furthermore, the system of the application can also carry out safety verification on the output instruction before outputting the hand-drawn image and text through the safety verification module so as to confirm that an operator has the use authority, ensure the safety of the hand-drawn image and text transmission and avoid the conditions of embezzlement and misuse.
In addition, the application can store the hand-drawn image and the corresponding stroke path, so as to facilitate the direct calling when outputting the hand-drawn image for multiple times, and improve the electronic output efficiency of the hand-drawn image.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application. It is evident that the drawings in the following description are only some embodiments of the present application and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
FIG. 1 is a schematic diagram of an electronic output system for hand-drawing graphics and texts according to the present application;
FIG. 2 is a schematic diagram of an electronic output system with hand-drawn text according to an embodiment of the present application;
FIG. 3 is a schematic diagram of an electronic output system with hand-drawn text according to an embodiment of the present application;
FIG. 4 is a schematic diagram of an electronic output system with hand-drawn text according to an embodiment of the present application;
FIG. 5 is a flow chart of the electronic output method of the hand-drawn text of the present application;
fig. 6 is an application scenario diagram of the electronic output system of the hand-painted graphics and texts of the present application.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the application. One skilled in the relevant art will recognize, however, that the application may be practiced without one or more of the specific details, or with other methods, units, modules, steps, etc. In other instances, well-known aspects have not been shown or described in detail to avoid obscuring aspects of the application.
In an exemplary embodiment of the present application, first, an electronic output system for a hand-drawn image is provided, as shown in fig. 1, where the electronic output system for a hand-drawn image in this embodiment includes a layer recognition module 110, a handwriting conversion module 120, and an output module 130, specifically:
the layer recognition module 110 is configured to perform layer division on the hand-drawn text according to handwriting attributes of the hand-drawn text in the output instruction.
In this embodiment, since the hand drawing text may include multiple handwriting attributes, in order to facilitate subsequent electronic output of the hand drawing text with different handwriting attributes, the hand drawing text is first divided into layers according to the handwriting attributes in the hand drawing text. The handwriting attribute comprises handwriting color, handwriting line width and/or handwriting line type, wherein the handwriting color is black, blue, red, yellow, red and other single colors or mixed colors formed by combining at least two colors; handwriting line types include straight lines, arcs, spiral lines, and the like. For example, if a handwritten signature of a party is black, dividing the handwritten signature into one layer; for another example, if a handwritten signature of a party includes black and blue, dividing the handwritten signature picture into two layers, corresponding to black and blue, respectively; for another example, if the principal wants to output an image, dividing the image into a plurality of layers according to each handwriting attribute in the image, wherein the layers correspond to different handwriting attributes respectively; that is, the present application can be applied to the output of text or images.
In some possible embodiments, the layer identification module 110 may be located on a host computer (e.g., a client with a hand-drawing or picture importing function), and may be a web page, an APP applet or public platform, etc. In some possible embodiments, the layer identification module 110 may be disposed on a server, and of course, the layer identification module 110 may be disposed on other positions, such as an output component (drawing robot), according to actual needs, and the present application includes, but is not limited to, the disposing position of the layer identification module 110.
The handwriting conversion module 120 is configured to convert the handwriting in each layer into a stroke path, and convert the stroke path into a computer language.
In this embodiment, the handwriting conversion module may include a node recognition unit, a node connection unit, and a conversion unit, where the node recognition unit is configured to recognize handwriting in the layer as a plurality of nodes; the node connection unit is used for connecting the plurality of nodes obtained by the node identification unit to form a stroke path; the conversion unit is used for converting the stroke path into a computer language.
Specifically, the node recognition unit and the node connection unit may be an automatic unit or may be a unit that can be independently operated by a user, so that handwriting in the handwriting drawing can be recognized as a plurality of nodes manually or automatically, and then the recognized plurality of nodes are connected to form a stroke path; the manual mode may manually outline nodes on the hand-drawn graph by using drawing software, which may be Photoshop, autoCAD, adobe image or Paper 53, to form a stroke path. The automatic mode can automatically outline the nodes on the hand-painted pictures and texts to form stroke paths by adopting a character track recognition algorithm. The recognition algorithm of the text track includes, but is not limited to, iDT algorithm or CSDN algorithm, and the corresponding text track recognition algorithm can be selected according to actual needs, which is not particularly limited in the present application.
In some possible implementations, the handwriting conversion module 120 may be located at a host computer (client), which may be a web page, an APP applet or public platform, or the like. In some possible embodiments, the handwriting conversion module 120 may be disposed on a server, and of course, the handwriting conversion module 120 may be disposed on other positions according to actual needs, such as an output component (e.g. a drawing robot), etc., which includes but is not limited to the disposed position of the handwriting conversion module 120.
Further, referring to fig. 2, the electronic output system of the hand-drawn text may further include an adjustment module 140 for adjusting nodes on the stroke path and/or adjusting node connection lines on the stroke path. When the node or node connecting line in the stroke path obtained by the handwriting conversion module 120 is found to be different from the original hand-drawn text, the real-time adjustment can be performed through the adjustment module 140, so that the lines of the hand-drawn text are smoother and are closer to the text which is drawn by the principal in a pen, the accuracy of the stroke path conversion is further ensured, of course, the adjustment module 140 can also automatically adjust the node or node connecting line according to the identification result, and can also perform manual adjustment by a user.
Of course, as with the layer recognition module 110 and the handwriting conversion module 120, the adjustment module 140 may be located on a host computer (such as a client), or may be disposed on a server or an output component, which is not limited in this disclosure.
And the output module 130 is used for sequentially carrying out electronic drawing output of each layer according to a computer language after the output instruction passes the security verification.
In this embodiment, after the output command is ensured to pass the security verification, the output module 130 performs the drawing output of the corresponding layer with the drawing medium as the medium, that is, when the output module 130 performs the electronic drawing output of the hand drawing text according to the computer language, it is required to switch to different drawing mediums according to the different layers.
For example, if the text in the hand-drawn text includes two colors (such as blue and black), the hand-drawn text is divided into two layers corresponding to blue and black, and when the output module 130 outputs the electronic hand-drawn text, the electronic hand-drawn text is first switched to a blue pen for writing, and after the blue corresponding layer is written, the electronic hand-drawn text is written by switching to a black pen, so that the electronic hand-drawn text is completed. Based on this, the output module 130 selects the drawing medium corresponding to each layer based on the computer language to perform drawing, and ensures that each layer obtained uses the similarity with the original hand-drawn image on the drawing medium.
In some possible embodiments, the handwriting conversion module 120 and the output module 130 may be located in a lower computer (for example, a writing device), and when the output of the hand-drawn text is required, the lower computer converts the stroke path corresponding to the hand-drawn text into a computer language, and performs the electronic drawing output according to the computer language. Based on the above, the lower computer has the function of converting the stroke path into the computer language, so when the hand-drawn image and text needing to be output electronically exists, the lower computer can flexibly convert the corresponding stroke path into the computer language, thereby enabling the use of the lower computer to be more flexible and easy to control.
It should be noted that, the conversion from the stroke path to the computer language may also be completed at an upper computer (such as a client) or a server, and the output module 130 directly performs the electronic drawing output of each layer based on the obtained computer language, which is not limited in particular by the present application.
Further, referring to fig. 3, the electronic output system of the hand-drawn text may further include a security verification module 150 for confirming the operator's use authority through security verification of the output instruction.
In this embodiment, the user right of the operator may be determined by outputting the user identification information included in the instruction, where the user identification information may be registration information that the user has, such as a number, a character, other characters or code information of a combination of a number, a character and other characters, or code information including a device number of the corresponding output component, or fingerprint information, face image identification information, and the like collected during user registration. Further, if the security verification module 150 determines that the output command fails to pass the security verification, for example, if the signature output this time differs greatly from the signature handwriting stored last time, the user needs to perform the security verification again, for example, the manner of inputting the user identification information again, the verification code, and the like.
In some possible embodiments, the security verification module 150 may be disposed on a host computer (such as a client), or may be disposed on a server or an output component, but it is required to ensure that the output command is securely verified before the output module performs the electronic drawing output.
In addition, referring to fig. 4, the electronic output system of the hand-drawn image and text may further include a storage module 160, configured to store the hand-drawn image and text, and the stroke path corresponding to the hand-drawn image and text for browsing and downloading by the user, where, of course, when the same hand-drawn image and text needs to be repeatedly output again, the electronic output system of the hand-drawn image and text may also be directly invoked, thereby improving the electronic output efficiency of the hand-drawn image and text.
When the stroke path of the hand-drawn picture and text is stored, encryption can be performed to ensure the safety of the hand-drawn picture and text and prevent misuse and counterfeiting, and the hand-drawn picture and text can be realized by setting fingerprints, short message verification or starting passwords, facial recognition and other modes; in addition, the stroke path of the hand-drawn image and text is saved, and when necessary, the stroke path is converted into a computer language at any time through the handwriting conversion module 120, so that the device for deploying the handwriting conversion module is more convenient and rapid to use and high in flexibility.
In some possible embodiments, the storage module 160 may be disposed in a server, and each time the obtained hand-drawn text and the corresponding stroke path are stored in the storage module 160 in the server, so as to facilitate multiple uses of the stroke path corresponding to the same hand-drawn text.
Further, with continued reference to fig. 4, the electronic output system of the hand-drawn text may further include a main control module 170, configured to issue an output instruction of the hand-drawn text, and display an output progress of the electronic drawing of the output module; and before issuing the output instruction of the hand-drawn image, comparing the current hand-drawn image with the hand-drawn image pre-stored in the storage module 160, and calling a target stroke path corresponding to the current hand-drawn image from the storage module 160 according to the comparison result.
In some possible embodiments, the main control module 170 may be located at a client, such as a web page, an APP applet or a public platform, etc., and the output progress of the electronic drawing of the output module 130 may also be displayed at the client by the main control module 170, so as to monitor the working dynamics of the output module 130 at any time.
Further, the main control module 170 can be linked with the layer recognition module 110, the handwriting conversion module 120 and the output module 130 at any time and any place, the handwriting path of the corresponding hand-drawn image can be called out by directly inputting the hand-drawn image or the picture of the hand-drawn image into the main control module 170, and the output module 130 can output the electronic hand-drawn image at any time and any place, wherein each module can be linked in any conventional networking mode (wired or wireless networking), and the application does not have special requirements on the hand-drawn image.
Further, the main control module 170 may further include a registration unit for registering an account, and the electronic output system of the hand-drawn text is started by inputting the account, so that remote control of the system can be realized, including sharing the hand-drawn text, sharing a path corresponding to the hand-drawn text, storing the hand-drawn text in the storage module 160, and the like, and meanwhile, each user is ensured to have an account, and the security of electronic output is ensured. The account registration can be set according to the actual encryption requirement, for example, only by single-password encryption or multiple-password double-encryption mode, and the like.
In addition, the main control module 170 may further include a charging unit, and may call the hand-drawn text uploaded by the other person through the payment function.
In summary, the electronic output system of hand-drawn pictures and texts can provide the picture and text output result which has extremely high similarity with the handwriting of the principal or is completely the same with the handwriting of the principal under the condition that the principal is not on site and the principal needs to sign or draw, so that the transaction processing efficiency is prevented from being influenced by the fact that the principal is not on site, manpower and material resources are saved, and when the electronic output of the hand-drawn pictures and texts is carried out, the hand-drawn pictures and texts can be divided into a plurality of picture layers to be output, thereby realizing the output of pictures and texts with various colors and formats, and in addition, the function of converting stroke paths into computer languages through the handwriting conversion module enables the flexibility of the output equipment provided with the handwriting conversion module to be higher, and any hand-drawn pictures and texts can be output anytime and anywhere; in addition, the user permission is ensured through the safety verification module, and the phenomenon that the hand-drawn image and text is misappropriated and output is avoided.
According to an aspect of the present application, there is also provided an electronic output method for hand-drawing graphics, as shown in fig. 5, the method comprising the steps of:
step S510, dividing the hand-drawn text into layers according to the handwriting attribute of the hand-drawn text in the output instruction.
In this embodiment, the handwriting attribute includes handwriting color, handwriting line width, and/or handwriting line type; the handwriting attribute comprises handwriting color and/or handwriting line type, wherein the handwriting color is black, blue, red, yellow, red and other single colors or mixed colors formed by combining at least two colors; handwriting line types include straight lines, arcs, spiral lines, and the like.
Dividing the hand drawing text into different layers according to different handwriting colors and/or handwriting line types. For example, if a handwritten signature of a party includes black and blue, the handwritten signature picture is divided into two layers, corresponding to black and blue, respectively.
Step S520, converting the handwriting in each divided layer into stroke paths respectively, and converting the stroke paths into computer languages.
In this embodiment, handwriting in the layer is identified as a plurality of nodes, and the resulting plurality of nodes are connected to form a stroke path, which is converted into a computer language.
Optionally, handwriting in the layer is identified as a plurality of nodes, which can be automatically identified or manually identified, wherein a manual mode can manually outline nodes on the hand-drawn image by using drawing software to form a stroke path, and the drawing software can be Photoshop, autoCAD, adobe image or Paper 53. The automatic mode can automatically outline the nodes on the hand-painted pictures and texts to form stroke paths by adopting a character track recognition algorithm. The recognition algorithm of the text track includes, but is not limited to, iDT algorithm or CSDN algorithm, and the corresponding text track recognition algorithm can be selected according to actual needs, which is not particularly limited in the present application.
Furthermore, when the node or node connecting line in the obtained stroke path is found to be different from the original hand-drawn text, the node or node connecting line can be manually adjusted to enable the lines of the hand-drawn text to be smoother and closer to the text which is personally drawn by a person, the accuracy of the conversion of the stroke path is further ensured, and of course, the node or node connecting line can be automatically adjusted according to the identification result.
Step S530, sequentially carrying out electronic drawing output of each layer according to the computer language.
In this embodiment, the stroke path may be converted into a computer language corresponding to the hand-drawn text by engraving control software such as Grbl Controller software or Artcam software.
In this embodiment, the drawing medium corresponding to each layer may be selected based on a computer language, and the drawing medium is used as a medium to perform drawing output of the corresponding layer.
For example, if the text in the hand-drawn text includes two colors (such as blue and black), the hand-drawn text is divided into two layers corresponding to blue and black respectively, and when outputting the electronic hand-drawn text, the hand-drawn text is first switched to a blue pen for writing, and after the blue corresponding layer is written, the hand-drawn text is switched to a black pen for writing, so that the electronic writing of the whole hand-drawn text is completed. Based on the above, the drawing medium corresponding to each layer can be selected based on the computer language to carry out drawing, and the similarity between each obtained layer and the original hand drawing image can be ensured on the drawing medium.
It should be noted that before sequentially performing drawing and writing output of each layer according to the computer language, the method may further include: and carrying out safety verification on the output instruction to confirm that the operator has the use authority.
Specifically, the user permission of the operator can be judged by outputting the user identification information contained in the instruction, wherein the user identification information can be registration information of the user, such as number, character, other character or code information of combination of number, character and other character, or code information containing the corresponding equipment number of the output component, or fingerprint information collected during user registration, face image identification information and the like. Further, if it is determined that the output command fails to pass the security verification, for example, if the difference between the signature output this time and the signature handwriting stored last time is large, the user needs to perform the security verification again, for example, the manner of inputting the user identification information again and the verification code again.
Furthermore, the hand-drawn pictures and texts and the stroke paths corresponding to the hand-drawn pictures and texts can be compared and stored for browsing and downloading by a user, and of course, when the same hand-drawn pictures and texts need to be repeatedly output again, the same hand-drawn pictures and texts can be directly called, so that the output efficiency of the hand-drawn pictures and texts is improved.
When the stroke path of the hand-drawn picture and text is stored, encryption can be carried out to ensure the safety of the hand-drawn picture and text and prevent misuse and falsification, and the hand-drawn picture and text can be realized by setting fingerprints, short message verification or starting passwords, facial recognition and other modes.
Further, an output instruction of the hand-drawn image and text can be issued through a visual interface of a client (such as a web end and an APP end), and the output progress of the hand-drawn image and text is displayed; in addition, when a hand-drawn picture is obtained, the current hand-drawn picture and the pre-stored hand-drawn picture can be compared at first, and a target stroke path corresponding to the current hand-drawn picture is called according to the comparison result, so that repeated work is avoided, and the output efficiency of the electronic hand-drawn picture is improved.
Further, electronic operations of the hand-drawing graphics can be performed through account registration, including sharing the hand-drawing graphics, sharing a path corresponding to the hand-drawing graphics, saving the hand-drawing graphics, and the like. The account registration may be set according to the actual encryption requirement, for example, only by a single password encryption or a multiple password double encryption mode, etc.
In addition, the authority of calling the hand-drawn pictures and texts uploaded by other people can be obtained in a payment mode.
It should be noted that, in the electronic output method of hand-drawn graphics context of the present application, the contents of each step are already described in detail in the electronic output system of hand-drawn graphics context, and are not described herein again.
The electronic output method of the hand-drawn image and text provided by the application can replace the principal to output the hand-drawn image and text under the condition that the principal is not on site but the principal is required to sign or draw, can provide the image and text output result which is extremely high in similarity with the principal's handwriting and writing or is completely the same as the principal's handwriting and writing image and text, avoids influencing the transaction processing efficiency due to the fact that the principal is not on site, and saves manpower and material resources; when the electronic output of the hand-drawn pictures and texts is carried out, the hand-drawn pictures and texts can be divided into a plurality of picture layers for output, and then the output of pictures and texts with various colors and formats is realized. Meanwhile, the user permission is judged by carrying out safety verification on the output instruction, so that the phenomena of misuse and electronic output theft are avoided.
Fig. 6 shows an application scenario diagram of the electronic output system of the hand-drawn image-text of the present application, and fig. 6 shows that in the application scenario, an image layer recognition module, a handwriting conversion module, an adjustment module and a main control module are arranged in the client; a storage module is deployed in the server, and a security verification module and an output module are deployed in the electronic output equipment; the client and the electronic output device can access the internet to perform data interaction with the server through any networking mode, and further, in order to confirm information security, a preset password (such as a fixed electronic device identification code and a user personal account number) can be input when the client logs in, and then intercommunication link between the client and the electronic output device can be realized. The operation of the electronic output system for hand-drawing pictures and texts will be described with reference to fig. 5.
Firstly, issuing an electronic output instruction of a hand-drawn picture and text through a visual interface of a client, wherein the client can obtain an electronic picture of the hand-drawn picture and text through a scanning or picture importing mode after logging in a system through identity identification information; then, the client can divide the hand-drawn text into layers according to handwriting attributes in the hand-drawn text electronic pictures, convert the handwriting in each layer into stroke paths respectively, and store the obtained stroke paths and the original electronic pictures in a server or locally in a contrasting manner; and finally, the client side issues an output instruction to control the electronic output device through the server, the electronic output device converts the stroke path into a computer language, and the drawing and writing output of each layer are sequentially carried out according to the computer language (namely, the drawing and writing device carries out drawing and writing). If the hand drawing text comprises a plurality of layers, the electronic output device sequentially selects the drawing medium corresponding to each layer to carry out drawing until all the layers are drawn.
Based on the method, under the condition that the principal is not on site, but the principal is required to sign or draw, the electronic output system of the hand-drawn image replaces the principal to carry out the safe output of the hand-drawn image, so that the influence of the fact that the principal is not on site on the progress of the transaction is avoided.
It should be noted that, fig. 6 is only an example of an application scenario of the present application, and different modules may be disposed at different locations, for example, the handwriting conversion module may be disposed in a terminal, a server, or an output component, which is not particularly required by the present application.
Although the steps of the methods of the present application are illustrated in the accompanying drawings in a particular order, this does not require or imply that the steps must be performed in the particular order or that all of the illustrated steps be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform, etc.
Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.

Claims (5)

1. An electronic output system for hand-drawn pictures and texts, which is characterized by comprising:
the layer identification module is used for dividing the hand-drawn text into layers according to the handwriting attribute of the hand-drawn text in the output instruction;
the handwriting conversion module is used for respectively converting the handwriting in each obtained layer into a stroke path and converting the stroke path into a computer language;
the output module is used for sequentially carrying out drawing and writing output of each layer according to the computer language;
the handwriting conversion module comprises a node identification unit, a node connection unit and a conversion unit;
the node identification unit is used for identifying handwriting in the layer as a plurality of nodes;
the node connection unit is used for connecting the plurality of nodes obtained by the node identification unit to form a stroke path;
the conversion unit is used for converting the stroke path into a computer language;
the system further comprises a security verification module; the safety verification module is used for confirming the use authority of an operator through safety verification of the output instruction;
judging the use authority of an operator by outputting user identification information contained in the instruction;
if the security verification module judges that the output instruction fails the security verification, the user is required to perform the security verification again;
the electronic output system also comprises an adjusting module, a control module and a control module, wherein the adjusting module is used for adjusting nodes on the stroke path and/or adjusting node connecting lines on the stroke path;
when the node or node connecting line in the stroke path obtained by the handwriting conversion module is found to be different from the original hand-drawing text, real-time adjustment is carried out by the adjustment module; the adjusting module can automatically adjust the nodes or the node connecting lines according to the identification result or manually adjust the nodes or the node connecting lines by a user.
2. The electronic output system of claim 1, wherein the handwriting attributes include handwriting color, handwriting line width, and/or handwriting line type.
3. The electronic output system according to claim 1, wherein the output module includes a selection unit and a drawing unit;
the selection unit is used for selecting the drawing medium corresponding to each layer based on a computer language;
the drawing unit is used for drawing and writing output of the corresponding image layer by taking the drawing medium as a medium.
4. The electronic output system of claim 1, further comprising a memory module and a master control module;
the storage module is used for comparing and storing the hand-drawn pictures and texts and stroke paths corresponding to the hand-drawn pictures and texts;
the main control module is used for issuing an output instruction of the hand-drawn pictures and texts and displaying the output progress of the electronic drawing and writing of the output module;
the main control module is used for comparing the current hand-drawn graph with the hand-drawn graph prestored in the storage module, and calling a target stroke path corresponding to the current hand-drawn graph from the storage module according to a comparison result.
5. An electronic output method of hand-drawn pictures and texts, applied to the electronic output system of the hand-drawn pictures and texts as set forth in any one of claims 1-4, is characterized by comprising the following steps:
dividing the hand-drawn text into layers according to handwriting attributes of the hand-drawn text in the output instruction;
converting the handwriting in each divided layer into stroke paths respectively, and converting the stroke paths into computer languages;
and sequentially carrying out drawing and writing output of each layer according to the computer language.
CN202010144801.0A 2020-03-04 2020-03-04 Electronic output system and method for hand-drawn pictures and texts Active CN111400692B (en)

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