WO2014183694A1

WO2014183694A1 - Data input method and device

Info

Publication number: WO2014183694A1
Application number: PCT/CN2014/078175
Authority: WO
Inventors: 岳莉; 江润生
Original assignee: 中兴通讯股份有限公司
Priority date: 2013-12-03
Filing date: 2014-05-22
Publication date: 2014-11-20
Also published as: CN104679800A; CN111062256A; CN111062256B

Abstract

A data input method is disclosed. The method comprises the following steps: obtaining an image of data to be inputted; analyzing the obtained image, and acquiring initial data; analyzing and comparing said initial data, and acquiring data requiring confirmation; confirming the data requiring confirmation, and acquiring final data; and inputting said final data. A data input device is also disclosed.

Description

Data entry method and device

The present invention relates to the field of intelligent service systems, and in particular, to a data entry method and apparatus. Background technique

With the continuous development of the current communication field, the intelligent service system has become a mainstream service mode for network service operators to provide online services. In the current industry, the intelligent service system accesses data in the online service process mainly through voice input (smart voice system), that is, the user makes subjective responses based on personal data.

However, the inventor found in the implementation of the present invention: When using this reply method, if a long string of data is input, such as an ID card, a bank card number, etc., the user is more annoyed, and a relatively careless user is encountered. , may need to repeat the input, so that the user loses patience. Summary of the invention

In order to solve the existing technical problems, embodiments of the present invention provide a data entry method and apparatus.

An embodiment of the present invention provides a data entry method, where the method includes the following steps: acquiring a picture that requires input data;

The obtained image is analyzed to obtain initial data;

The initial data is analyzed and compared to obtain data to be confirmed;

Confirming the data to be confirmed to obtain final data;

The final data is entered.

Preferably, the analyzing the acquired image to obtain the initial data specifically includes: performing layer identification on the acquired image, and reducing the range of the image;

Removing impurities around the reduced image data to obtain a neat data interface; The data in the clean data interface is extracted to obtain initial data.

Preferably, in the process of extracting data in the neat data interface, the method further includes: determining whether the data is legal for a long string of data containing letters, and when the data is legal, the data is initial data. When the data is invalid, the acquired image is re-layered.

Preferably, the process of analyzing and comparing the initial data specifically includes:

Comparing with the pre-stored long string data, detecting the rationality of the initial data; comparing with commonly used numbers and character picture templates, detecting the accuracy of the initial data. Preferably, the process of inputting the final data specifically includes:

The final data is sequentially placed from the back to the front into the function stack;

Get the data from the function stack in turn, call the keyboard, fill in the data one by one;

After the input is completed, the user confirms the data, and the data entry is completed after the confirmation is completed. Preferably, after the obtaining the picture that needs to input data, the method further includes:

Comparing the obtained image with a commonly-used pre-stored picture to determine whether it is the same picture; when it is the same picture, confirming the data corresponding to the common picture to obtain the final data; when it is a different picture, entering the acquisition The resulting image is analyzed to obtain the initial data steps.

Preferably, the method further includes pre-storing the common picture and the corresponding data.

Preferably, the process of pre-storing common pictures and corresponding data specifically includes: customizing common pictures and corresponding data through a user interface.

Preferably, the process of pre-storing the common picture and the corresponding data specifically includes: adding 1 to the picture multiplexing time after the image analysis is completed;

Determining the priority of the picture according to the number of times the picture is multiplexed;

Store images with high priority and corresponding data.

Preferably, when storing the corresponding data, the method further includes encrypting the stored corresponding data. Preferably, the obtaining a picture that requires inputting data specifically includes: acquiring a picture from a gallery or calling a camera, and acquiring a picture by taking a picture. The embodiment of the invention further provides a data entry device, comprising:

a picture collection unit configured to obtain an image that requires input of data;

The image analyzing unit is configured to analyze the obtained image to obtain initial data, and the intelligent detecting unit is configured to analyze and compare the initial data to obtain data to be confirmed;

a data confirmation transmission unit configured to confirm the data to be confirmed to obtain final data;

A data entry unit configured to enter the final data.

Preferably, the picture analysis unit includes:

The partition intercepts the sub-unit, and is configured to perform layer identification on the acquired image to narrow the picture range;

The impurity removal subunit is configured to remove impurities around the reduced image data to obtain a neat data interface;

The data extraction subunit is configured to extract data from the clean data interface to obtain initial data.

Preferably, the picture analyzing unit further includes a legality determining sub-unit configured to determine whether the data is legal for a long string of data containing letters.

Preferably, the smart detection unit comprises:

a rationality determining subunit configured to compare the initial data with a pre-stored long string of data to detect the rationality of the initial data;

The accuracy judging subunit is configured to compare the initial data with a commonly used number and character picture template to detect the accuracy of the initial data.

Preferably, the method further includes: a fast determining unit configured to determine whether the acquired picture is the same picture as the pre-stored picture;

The quick determination unit includes:

a template setting subunit configured to set a common picture and corresponding data; a template storage subunit configured to store common pictures and corresponding data;

The same picture judging sub-unit is configured to compare the acquired picture with a pre-stored common picture to determine whether it is the same picture.

Preferably, the template setting subunit includes a user interface, and the common picture and corresponding data are customized through the user interface.

Preferably, the template setting subunit includes:

The picture multiplexing counter is configured to add 1 to the picture multiplexing time after the picture analysis is completed; the priority determining module is configured to determine the picture priority according to the picture multiplexing times; the template extraction module is configured to extract the priority High-level pictures and corresponding data.

Preferably, the template storage subunit includes an encryption module configured to encrypt the stored corresponding data when the corresponding data is stored.

The embodiment of the present invention further provides a computer readable storage medium, where the storage medium includes a set of computer executable instructions, and the instructions are used in the data entry method according to the embodiment of the present invention.

The beneficial effects of the embodiments of the present invention are as follows:

In the interaction process between the user and the intelligent service system, the embodiment of the present invention obtains a long string of data through image analysis, and automatically inputs the data to provide convenient and quick input to the user. At the same time, the embodiment of the present invention makes reasonable input data through analysis and comparison. The detection of sex and legitimacy can effectively reduce the probability of error, provide users with accurate and efficient data entry functions, and enhance the user experience. DRAWINGS

1 is a schematic structural diagram of a data entry device according to an embodiment of the present invention;

2 is a flowchart of a data entry method in an embodiment of the present invention;

3 is a schematic diagram of a user interface in an embodiment of the present invention;

4 is a schematic diagram of the operation of the data entry unit in the embodiment of the present invention;

FIG. 5 is a flowchart of still another data entry method in the embodiment of the present invention. detailed description

In order to solve the problem of inconvenient data entry and high error rate in the prior art, the present invention provides a data entry method and apparatus. The present invention will be further described in detail below with reference to the accompanying drawings and the two embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

Example 1

A data entry device of the embodiment of the present invention, as shown in FIG. 1, includes a picture collection unit 11, a picture analysis unit 12, an intelligent detection unit 13, a data confirmation transmission unit 14, a data entry unit 15, and a quick determination unit 16. The picture analyzing unit 12 is connected to the picture collecting unit 11 and the smart detecting unit 13, respectively, and the data confirming transmitting unit 14 is respectively connected to the smart detecting unit 13 and the data input unit 15, and the fast determining unit 16 and the picture collecting unit 11 respectively. The data confirms that the transmission unit 14 is connected.

The image collection unit 11 is configured to interact with the user to obtain a picture in which data needs to be input. Picture 釆单元 unit 11 entrance, you can set the camera side key call according to the user's common scene, or the menu key call, to start the system to obtain pictures for analysis. For handheld terminals, the smart device can also provide settings in a setup menu (not limited to) to provide user selection.

The picture analysis unit 12 is configured to analyze the acquired picture to obtain initial data. The picture analyzing unit 12 includes a section intercepting sub-unit 121, an impurity removing sub-unit 122, a data extracting sub-unit 123, and a legality judging sub-unit 124. The impurity removal sub-unit 122 is connected to the partition extraction sub-unit 121 and the data extraction sub-unit 123, respectively, and the legality determination sub-unit 124 is connected to the data extraction sub-unit 123. The partition intercepting sub-unit 121 is configured to perform layer identification on the acquired picture to reduce the image range; the impurity removal sub-unit 122 is configured to remove impurities around the reduced-length picture data to obtain a neat data interface; the data extraction sub-unit 123 It is configured to extract data in the clean data interface to obtain initial data; the legality judging sub-unit 124 is configured to determine whether the data is legal for a long string of data containing letters. The intelligent detecting unit 13 is configured to analyze and compare the initial data to obtain data to be confirmed. The intelligent detection unit 13 internally implements the detection of the rationality of the initial data and the accuracy of the initial data to achieve the accuracy required by the system (the accuracy is determined according to the customer group corresponding to the system).

The intelligent detecting unit 13 includes a plausibility judging subunit 131 and an accuracy judging subunit 132, wherein the plausibility judging subunit 131 is connected to the accuracy judging subunit 132. The plausibility judgment sub-unit 131 is configured to compare the initial data with the pre-stored long-string data to detect the plausibility of the initial data; the accuracy judging sub-unit 132 is configured to combine the initial data with commonly used numbers, The character picture template is compared to detect the accuracy of the initial data.

The data confirmation transmission unit 14 is configured to confirm the data to be confirmed to obtain final data. The data confirmation transmission unit 14 provides a user interface to prompt the user whether to confirm the input or to reacquire the data; the user may be asked to confirm the input or abandon the re-input option, and the user selects whether to enter according to the acquired data, and the data confirms the transmission unit. 14 You can choose voice prompt user or prompt box prompt.

The data entry unit 15 is configured to enter the final data. The data confirmed by the user is entered once by the data entry unit 15 and displayed visually to the user without manual operation by the user.

The quick judging unit 16 is configured to judge whether the acquired picture is the same picture as the pre-stored picture. The fast judging unit 16 implements the function of the template recording, and saves the analyzed template (whether or not the user interface is designed, which can be determined according to the terminal situation). When the user enters the image collecting unit 11, if the template is already saved, The direct entry data confirmation transmission unit 14 performs confirmation. This can analyze the effect of multiple reuses at a time and improve system performance.

The quick judgment unit 16 includes a template setting sub-unit 161, a template storage sub-unit 162, and the same picture judging sub-unit 163, wherein the template storage sub-unit 162 is connected to the template setting sub-unit 161 and the same picture judging sub-unit 163, respectively. The template setting sub-unit 161 is configured to set a common picture and corresponding data; the template storage sub-unit 162 is configured to store a common picture and corresponding data; the same picture determining sub-unit 163 is configured to perform the acquired picture with a pre-stored common picture. Contrast to determine if it is the same picture.

The template setting sub-unit 161 may employ a picture multiplexing counter, a priority determining module, and a template extracting module, wherein the priority determining module is respectively connected to the picture multiplexing counter and the template extracting module. The picture multiplexing counter is configured to add 1 to the picture multiplexing time after the picture analysis is completed; the priority determining module is configured to determine the picture priority according to the picture multiplexing times; the template extraction module is configured to extract the high priority Pictures and corresponding data. The template setting sub-unit 161 can also use a user interface to customize common pictures and corresponding data through the user interface. In this embodiment, the template setting sub-unit 161 may separately use the picture multiplexing counter, the priority determining module, and the template extracting module, or may separately use the user interface, and may also use a picture multiplexing counter, a priority determining module, and a template extraction. The module is combined with the user interface.

The template storage subunit 162 includes an encryption module configured to encrypt the stored corresponding data when the corresponding data is stored.

It should be noted that the picture collection unit 11, the picture analysis unit 12, the smart detection unit 13, the data confirmation transmission unit 14, the data entry unit 15, and the quick determination unit 16 may be implemented by a central processing unit (CPU, Central) of the data entry device. Processing Unit), Microprocessor (MPU), Digital Signal Processor (DSP) or Field Programmable Gate Array (FPGA).

Example 2

When the data entry device of the embodiment 1 is used, the flow of a data entry method according to the embodiment of the present invention is as shown in FIG. 2 and FIG. 5, first obtaining a picture requiring input data; and then performing the acquired picture. Analysis, obtaining initial data; analyzing and comparing the initial data to obtain data to be confirmed; confirming the data to be confirmed to obtain final data; and finally inputting the final data. The method of this embodiment specifically includes the following steps:

In step s201, a picture of the input data is obtained. In this embodiment, a picture may be obtained from a gallery, or a camera may be called to acquire a picture by taking a picture. If you need to call the camera to take a picture, you can consider (but not limited to): The terminal of the terminal camera that does not support hardware calls, can be Select the setting software menu on the terminal call interface; for the terminal that supports the terminal hardware to call the camera, directly use the camera key of the terminal to set the interface to enter the corresponding picture analysis unit of the intelligent system. A user interface diagram of the present invention is shown in FIG. 3, and a picture is entered through interaction with the user interface.

Step s202: Perform layer identification on the acquired image to reduce the range of the image. In this embodiment, the method specifically includes: calling an existing function interface on the basis of an OCR (Optical Character Recognition) engine or other image analysis engine, performing layer identification, and narrowing the image range. The image recognition method has been matured, and the requirements of the specific method are not required here.

Taking OCR as an example, OCR refers to a process in which an electronic device (such as a scanner or a digital camera) checks characters printed on a paper, determines its shape by detecting a dark and bright pattern, and then translates the shape into computer characters by character recognition. That is: the process of scanning the text data, then analyzing and processing the image file to obtain text and layout information. Therefore, from the definition of the technology engine, the technology needs to be customized for secondary mobile development, and this secondary development can be based on the principle of the engine. Simply put, the OCR engine completes a process from image to result output. This process requires image input and preliminary processing, text feature recognition extraction, contrast recognition, and manual correction to output the final result. Image input and preliminary processing, the image input method is mature and diverse, and can be customized according to the terminal type. There are many problems affecting the initial processing needs, such as: Obtaining an image (for color image processing, it is necessary to consider secondary customization development). ), in the process of independently outputting a single text image, all belong to image pre-processing, including image normalization, noise removal, image correction and other processing methods. The current image processing is relatively mature. The main technical problems that need to be solved are in the pre-processing of files. For example, image processing separates pictures, tables, and text areas, and even refines the sentences into words, and breaks words. After completing this step, Document feature extraction, this step can be said to be the core part of OC, because what feature template is used, how to extract, how to judge, the level of direct image recognition rate, there are generally two ways: statistical method and structure identification method, feature extraction Complete, compare and identify, This part is because of the probabilistic recognition result. Therefore, the data operation theory can be fully utilized, and different data distance functions can be selected according to different characteristics to improve the contrast accuracy. The final manual correction module can be determined according to the requirements of the demand side. The recognition engine is first developed on the PC side. Therefore, if the mobile intelligent terminal borrows the engine for picture recognition, it can combine the current computer development technology to perform further technical refinement and function modification to meet the intelligent terminal. Demand.

Step s203, removing impurities around the reduced image data to obtain a neat data interface. In this embodiment, specifically, various color factors and data interfaces affecting data clarity around the data are adjusted.

Step s204: Extract data in the neat data interface to obtain initial data. In the process of extracting data in the neat data interface, the method further includes: determining whether the data is legal for a long string of data containing letters, and when the data is legal, the data is initial data; When the data is invalid, the acquired image is re-layered. If a part of the person's ID number has a long string of data, the system confirms that the number matches the ID number, and then matches again to determine the legality of the ID number.

Transmitting the initial data to the intelligent detecting unit, in this embodiment, using a special data transmission unit for transmission, and using the unit for transmission, mainly adopting a distributed idea, considering that there are too many problems in one unit processing This causes instability of the system, so the unit is used as an interface for data transmission.

Step s205, comparing with the pre-stored long string data, detecting the rationality of the initial data. In this embodiment, the method includes: pre-storing some commonly used long-string data functions in the system, using a function to perform data comparison calculation, and confirming data types in the image analysis process performed by the user, such as an ID number, a bank card number, and a two-dimensional Code data and so on.

Step s206, comparing with a commonly used digital and character picture template, detecting the accuracy of the initial data. In this embodiment, the following method may be used, but not limited to: establishing a picture template library for commonly used numbers and characters, and each picture template library template corresponds to one or a group. Corresponding numbers or characters can be directly compared with the corresponding data template when performing data accuracy detection.

In step s207, the user performs data confirmation. In this embodiment, the detected data is transmitted to the user interface, and on the one hand, the user prompts whether the user needs to confirm the input, and on the other hand (but not limited to), provides a memory for the valid data obtained by the analysis. The device, when the user needs to use it twice, directly enters the user confirmation. The user is prompted to confirm that the input can be diversified, such as: voice announcement prompt, prompt box prompt, etc., according to the hardware condition of the terminal.

In step s208, the confirmed data is entered. In this embodiment, the process of data entry specifically includes:

1. Get the current data, the process is transparent to the user;

2. Using the form of the function stack, the acquired data is sequentially put into the function stack from the back to the front, and the data is prepared for automatic entry;

3. Get the data from the function stack in turn, call the keyboard, fill in the data one by one, if the data contains other letters, flexibly call the corresponding input method keyboard. (The premise of supporting letters is that the terminal supports the alphabetic keyboard during the online inquiry process, which can be handled flexibly;). When steps 3 and 4 are performed, a schematic diagram of the data entry unit 15 is shown in FIG.

4. Enter the completion pop-up prompt, please confirm.

Preferably, after step s201, the method further includes the step s209, comparing the acquired picture with a pre-stored common picture to determine whether it is the same picture; when it is the same picture, go to step s207; when it is a different picture, go to the step S202.

If step s209 is used, the common picture and corresponding data should be stored in advance. The process of pre-storing the common picture and the corresponding data may be combined in one or two of the following two ways:

1. Customize common images and corresponding data through the user interface. Specifically, the user interface is provided, and the user personalizes various common data pictures and corresponding data, and forms a common record table in the system for the user to select. 2. The system uses the priority criterion. After the user performs image data acquisition and analysis, the same picture is analyzed once, and the number of picture multiplexing times is increased by 1. According to the number of times of picture multiplexing, the priority of the picture is determined; the priority is saved and The most frequently used set of data is provided to the user as a template.

When storing the corresponding data, the method further includes encrypting the stored corresponding data. Because the memory function here involves the security function of related user information, some encryption algorithms can be selected to effectively protect the user's data, such as the user's ID card and bank card number information using password protection, or can also be bound with the SIM card. When the system detects that the user test machine replaces the SIM card, it clears the user data (user option). There is no limit to the method. You can provide the user with an optional method or directly protect the system.

In the embodiment of the present invention, after the user takes a photo or obtains a picture (template), the process of confirming the input to obtain the data requires the user to be transparent throughout the process. Therefore, the user needs to give clear instructions and instructions, so that the user does not I feel that the waiting time is too long.

The embodiments of the present invention can be used in, but not limited to, the following systems: a bank intelligent voice system, such as an ID number, a bank card number entry, etc., to increase user satisfaction; an operator customer service intelligent voice system, such as an ID number, a recharge card number, etc. The input of the data information, the picture information is obtained by photographing, and then analyzed by the system to obtain the determined data for automatic entry; the two-dimensional code data entry system, such as the entry of the strip data on the two-dimensional code, in the two-dimensional code Long browser URL information, or other product code information needs to be automatically entered.

In the interaction process between the user and the intelligent service system, the embodiment of the present invention obtains a long string of data through image analysis, and automatically inputs the data to provide convenient and quick input to the user. At the same time, the embodiment of the present invention makes reasonable input data through analysis and comparison. The detection of sex and legitimacy can effectively reduce the probability of error, provide users with accurate and efficient data entry functions, and improve the user experience. Users do not need to worry about repeatedly inputting lengthy data, and worry about input errors requiring secondary input.

In addition, an embodiment of the present invention further provides a computer readable storage medium, where the storage medium includes a set of computer executable instructions, and the instructions are used in the data entry method according to the embodiment of the present invention. Those skilled in the art will appreciate that embodiments of the present invention can be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or a combination of software and hardware. Moreover, the invention can be embodied in the form of one or more computer program products embodied on a computer usable storage medium (including but not limited to disk storage and optical storage, etc.) in which computer usable program code is embodied.

The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (system), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart and/or block diagrams, and combinations of flow and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a general purpose computer, a special purpose computer, an embedded processor or other programmable data processing device processor to produce a machine such that a flow or a block diagram of a flow or a block diagram or A device that has multiple functions specified in the box.

The computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device. The apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.

These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device. The instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

While the preferred embodiments of the present invention have been disclosed for purposes of illustration, those skilled in the art will recognize that various modifications, additions and substitutions are possible, and the scope of the invention should not be limited to the embodiments described above.

Claims

claims

1. A data entry method, including:

Get the picture that requires input data;

Analyze the acquired pictures to obtain initial data;

Analyze and compare the initial data to obtain data to be confirmed;

Confirm the data to be confirmed and obtain the final data;

Enter the final data.

2. The data entry method as claimed in claim 1, wherein said analyzing the obtained pictures to obtain initial data includes:

Perform layer recognition on the acquired images to narrow down the image range;

Remove the impurities around the reduced image data to obtain a clean data interface; extract the data in the clean data interface to obtain the initial data.

3. The data entry method as claimed in claim 2, wherein the process of extracting data in the neat data interface also includes:

For a long string of data containing letters, determine whether the data is legal. When the data is legal, the data is initial data; when the data is illegal, perform layer recognition on the acquired picture again.

4. The data entry method as claimed in claim 1, wherein the process of analyzing and comparing the initial data includes:

Compare with the pre-stored long string of data to detect the rationality of the initial data; compare with commonly used number and character picture templates to detect the accuracy of the initial data.

5. The data entry method as claimed in claim 1, wherein the process of entering final data includes:

Put the final data into the function stack from back to front; Obtain data from the function stack in sequence, call the keyboard, and fill in the data one by one; after the input is completed, the user confirms the data, and after the confirmation is completed, the data entry is completed.

6. The data entry method according to any one of claims 1 to 5, wherein, after obtaining the picture requiring data input, it further includes:

Compare the acquired picture with a pre-stored common picture to determine whether it is the same picture; when it is the same picture, confirm the data corresponding to the common picture to obtain the final data; when it is a different picture, enter the acquisition The obtained pictures are analyzed and the initial data steps are obtained.

7. The data entry method as claimed in claim 6, further comprising pre-stored commonly used pictures and corresponding data.

8. The data entry method as claimed in claim 7, wherein the process of pre-storing commonly used pictures and corresponding data includes: customizing commonly used pictures and corresponding data through a user interface.

9. The data entry method as claimed in claim 7, wherein the process of pre-storing commonly used pictures and corresponding data includes:

After the image analysis is completed, the number of image reuses is increased by 1;

Determine the priority of the picture according to the number of times the picture is reused;

Store high-priority pictures and corresponding data.

10. The data entry method according to claim 7, wherein when storing the corresponding data, it further includes encrypting the stored corresponding data.

11. The data entry method as claimed in claim 1, wherein said obtaining pictures requiring data input includes: obtaining pictures from a gallery or calling a camera to obtain pictures by taking pictures.

12. A data entry device, including:

The picture collection unit is configured to obtain pictures that require input data;

The picture analysis unit is configured to analyze the acquired pictures to obtain initial data; the intelligent detection unit is configured to analyze and compare the initial data to obtain data to be confirmed; A data confirmation transmission unit configured to confirm the data to be confirmed and obtain final data;

A data entry unit is configured to enter the final data.

13. The data entry device according to claim 12, wherein the picture analysis unit includes:

The partition interception subunit is configured to perform layer recognition on the acquired pictures and reduce the scope of the pictures;

The impurity removal subunit is configured to remove impurities around the reduced image data to obtain a clean data interface;

The data extraction subunit is configured to extract data in the clean data interface and obtain initial data.

14. The data entry device according to claim 13, wherein the picture analysis unit further includes a legality judgment subunit configured to judge whether the data is legal for a long string of data containing letters.

15. The data entry device according to claim 12, wherein the intelligent detection unit includes:

The rationality judgment subunit is configured to compare the initial data with a pre-stored long string of data and detect the rationality of the initial data;

The accuracy judgment subunit is configured to compare the initial data with commonly used digital and character picture templates to detect the accuracy of the initial data.

16. The data entry device according to any one of claims 12 to 15, further comprising a quick judgment unit configured to judge whether the acquired picture is the same picture as the pre-stored picture;

The rapid judgment unit includes:

The template setting subunit is configured to set commonly used pictures and corresponding data;

Template storage subunit, configured to store commonly used pictures and corresponding data; The same picture determination subunit is configured to compare the acquired pictures with pre-stored common pictures to determine whether they are the same pictures.

17. The data entry device according to claim 16, wherein the template setting subunit includes a user interface, and commonly used pictures and corresponding data are customized through the user interface.

18. The data entry device according to claim 16, wherein the template setting subunit includes:

The picture reuse counter is configured to increase the number of picture reuses by 1 after the picture analysis is completed; the priority determination module is configured to determine the priority of the picture based on the number of picture reuses;

The template extraction module is configured to extract high-priority pictures and corresponding data.

19. The data entry device according to claim 16, wherein the template storage subunit includes an encryption module configured to encrypt the stored corresponding data when storing the corresponding data.

20. A computer-readable storage medium, the storage medium includes a set of computer-executable instructions, the instructions are used to execute the data entry method according to any one of claims 1-11.