CN117235813A - An electronic signature data quality detection method and system - Google Patents

Abstract

The invention proposes an electronic signature data quality detection method and system. The electronic signature data quality detection method includes: collecting the user's three pre-electronic signature data; setting the electronic signature grayscale value threshold according to the electronic signature data; collecting the electronic signature data uploaded by subsequent users in real time, and using the electronic signature grayscale The value threshold performs quality inspection on the electronic signature data, and provides a re-signing prompt for electronic signature data that fails the quality inspection; extracts the user's electronic signature status, and adjusts the electronic signature grayscale value threshold based on the electronic signature status. The system includes modules corresponding to the method steps. By analyzing the pixel block information of the electronic signature data and calculating the grayscale threshold adjustment factor, possible quality problems in the signature data can be detected and corrected.

Description

An electronic signature data quality detection method and system

Technical field

The present invention relates to the technical field of data quality detection, and in particular to an electronic signature data quality detection method and system.

Background technique

In the existing technology, the quality inspection of electronic signature data mostly relies on manual review or some specific software tools. However, manual review not only consumes a lot of human resources, but also may cause misjudgments due to various factors (such as fatigue, negligence, etc.). Although software tools can automate some tasks, they often cannot adjust themselves to changing user behavior and therefore may not be able to accurately perform quality inspections when faced with complex electronic signature data.

Quality testing of electronic signature data is very important for the authenticity and legality of signatures. A valid electronic signature data should be signed voluntarily by the user in a fair, just and open environment and should not be subject to any form of tampering or destruction. Therefore, developing a method that can effectively detect the quality of electronic signature data is an important direction for current technology development.

Contents of the invention

The present invention provides an electronic signature data quality detection method and system to solve the problem that in the prior art, electronic signatures may be affected by various factors such as environment, equipment, and human factors, resulting in noise and distortion in the signature data. , deformation and other issues, thereby reducing the accuracy and reliability of signature data, and affecting the validity and legality of electronic signatures:

The present invention proposes an electronic signature data quality detection method. The electronic signature data quality detection method includes:

S1: Collect the user’s three pre-electronic signature data;

S2: Set the electronic signature gray value threshold according to the electronic signature data;

S3: Collect electronic signature data uploaded by subsequent users in real time, use the electronic signature gray value threshold to perform quality inspection on the electronic signature data, and provide re-signing prompts for electronic signature data that fails the quality inspection;

S4: Extract the user's electronic signature, and adjust the electronic signature gray value threshold according to the electronic signature.

Further, collect the user's three electronic signature data, including:

S11: Provide users with a pre-signature interface;

S12: Display the three pre-signature prompts through the pre-signature interface;

S13: Collect the user's three pre-electronic signature data.

Further, setting the electronic signature gray value threshold according to the electronic signature data includes:

S21: Extract the pixel block corresponding to the electronic signature part in the first electronic signature data, and generate a gray value set of the first pixel block;

S22: Traverse the pixel block gray values in the first pixel block gray value set, and obtain the first gray threshold adjustment factor using the pixel block gray values in the first pixel block gray value set;

S23: Extract the pixel block corresponding to the electronic signature part in the second electronic signature data, and generate the gray value set of the second pixel block;

S24: Traverse the pixel block gray values in the second pixel block gray value set, and obtain the second gray threshold adjustment factor using the pixel block gray values in the second pixel block gray value set;

S25: Extract the pixel block corresponding to the electronic signature part in the third electronic signature data, and generate a gray value set of the third pixel block;

S26: Traverse the pixel block gray values in the first pixel block gray value set, and obtain the third gray threshold adjustment factor using the pixel block gray values in the third pixel block gray value set;

S27: Use the first grayscale threshold adjustment factor, the second grayscale threshold adjustment factor and the third grayscale threshold adjustment factor to integrate and generate an electronic signature grayscale value threshold.

Further, electronic signature data uploaded by subsequent users are collected in real time, the electronic signature gray value threshold is used to perform quality inspection on the electronic signature data, and re-signing prompts are provided for electronic signature data that fails the quality inspection, including:

S31: Collect electronic signature data uploaded by subsequent users in real time;

S32: Extract the corresponding grayscale value of the pixel block of the electronic signature part in the electronic signature data;

S33: Compare the gray value with the electronic signature gray value threshold, and count the pixel blocks whose gray value is lower than the electronic signature gray value threshold;

S34: When the number of pixel blocks whose gray value is lower than the electronic signature gray value threshold exceeds the preset quantity threshold, it is determined that the current electronic signature data is unqualified;

S35: When the current user's electronic signature data is judged to be unqualified, a re-signing prompt will be issued.

Further, extract the user's electronic signature, and adjust the electronic signature gray value threshold according to the electronic signature, including:

S41: After the re-signing prompt, collect the user's first qualified electronic signature data after the re-signing prompt;

S42: Extract the grayscale values of all pixel blocks whose grayscale values are not lower than the electronic signature grayscale value threshold in the first qualified electronic signature data after the re-signing prompt;

S43: Set the grayscale threshold adjustment compensation parameter using the grayscale values of all pixel blocks whose grayscale values are not lower than the electronic signature grayscale value threshold in the first qualified electronic signature data after the re-signing prompt;

S44: Use the gray threshold adjustment compensation parameter to adjust the electronic signature gray value threshold to obtain the adjusted electronic signature gray value threshold.

The present invention proposes an electronic signature data quality detection system, which is characterized in that the electronic signature data quality detection system includes:

Data collection module: collects the user’s three pre-electronic signature data;

Threshold setting module: sets the electronic signature gray value threshold according to the electronic signature data;

Quality detection module: Collect electronic signature data uploaded by subsequent users in real time, use the electronic signature gray value threshold to perform quality detection on the electronic signature data, and provide re-signing prompts for electronic signature data that fails the quality detection;

Threshold adjustment module: extracts the user's electronic signature and adjusts the electronic signature gray value threshold according to the electronic signature.

Further, the data collection module includes:

Interface providing module: provides users with a pre-signature interface;

Interface display module: Display three pre-signature prompts through the pre-signature interface;

Signature data collection module: collects the user's three pre-electronic signature data.

Further, the threshold setting module includes:

The first gray value generation module: extracts the pixel block corresponding to the electronic signature part in the first electronic signature data and generates the first pixel block gray value set;

The first grayscale value traversal module: traverses the grayscale values of the pixel block in the first pixel block grayscale value set, and obtains the first grayscale using the pixel block grayscale values in the first pixel block grayscale value set. threshold adjustment factor;

The second gray value generation module: extracts the pixel block corresponding to the electronic signature part in the second electronic signature data, and generates the second pixel block gray value set;

The second grayscale value traversal module: traverses the grayscale values of the pixel block in the second pixel block grayscale value set, and obtains the second grayscale using the pixel block grayscale value in the second pixel block grayscale value set. threshold adjustment factor;

The third gray value generation module: extracts the pixel block corresponding to the electronic signature part in the third electronic signature data and generates the gray value set of the third pixel block;

The third grayscale value traversal module: traverses the pixel block grayscale values in the first pixel block grayscale value set, and obtains the third grayscale using the pixel block grayscale values in the third pixel block grayscale value set. threshold adjustment factor;

Integration module: using the first grayscale threshold adjustment factor, the second grayscale threshold adjustment factor and the third grayscale threshold adjustment factor to integrate and generate the electronic signature grayscale value threshold.

Further, the quality detection module includes:

Data collection and update module: collects electronic signature data uploaded by subsequent users in real time;

Gray value extraction module: extract the corresponding gray value of the pixel block of the electronic signature part in the electronic signature data;

Pixel block counting module: compares the grayscale value with the electronic signature grayscale value threshold, and counts pixel blocks whose grayscale value is lower than the electronic signature grayscale value threshold;

Data compliance judgment module: when the number of pixel blocks with a grayscale value lower than the electronic signature grayscale value threshold exceeds the preset quantity threshold, it is determined that the current electronic signature data is unqualified;

Signature prompt module: When the current user's electronic signature data is judged to be unqualified, a re-signature prompt will be issued.

Further, the threshold adjustment module includes:

Qualified data collection module: After the re-signing prompt, collect the user's first qualified electronic signature data after the re-signing prompt;

Gray value judgment module: extract the gray value of all pixel blocks whose gray value is not lower than the electronic signature gray value threshold in the first qualified electronic signature data after the re-signing prompt;

Adjustment supplement module: Set the grayscale threshold adjustment compensation parameter by using the grayscale values of all pixel blocks whose grayscale values are not lower than the electronic signature grayscale value threshold in the first qualified electronic signature data after the re-signature prompt;

Gray value threshold adjustment module: uses the gray value threshold adjustment compensation parameter to adjust the electronic signature gray value threshold to obtain the adjusted electronic signature gray value threshold.

Beneficial effects of the present invention: By analyzing the pixel block information of the electronic signature data and calculating the grayscale threshold adjustment factor, possible quality problems in the signature data, such as noise, distortion, deformation, etc., can be detected and corrected. This will improve the accuracy of the signature data and make it more consistent with the user's real signature; through quality inspection of the electronic signature data, potential problems can be discovered and eliminated, and the reliability of the signature data can be improved. This helps to prevent signature data from being tampered with or forged, and increases the anti-counterfeiting capabilities of the signature, thus ensuring the integrity and credibility of the data; according to different users' signature styles and device environments, the grayscale threshold adjustment factor is automatically adjusted to suit different needs. signature status. This makes the system highly adaptable and flexible, able to adapt to various signature scenarios and improve the accuracy and effect of detection; by detecting and correcting the quality of signature data, the security of electronic signatures can be effectively improved. Identifying and eliminating quality problems can prevent signature data from being maliciously used or forged, thereby enhancing the signature's protective capabilities and ensuring the legitimacy and credibility of the signature data.

Description of drawings

Figure 1 is a step diagram of an electronic signature data quality detection method according to the present invention;

Figure 2 is an interaction diagram of an electronic signature data quality detection system according to the present invention.

Detailed ways

The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

Example 1

In this embodiment, the present invention proposes an electronic signature data quality detection method. The electronic signature data quality detection method includes:

S1: Collect the user’s three pre-electronic signature data;

S2: Set the electronic signature gray value threshold according to the electronic signature data;

S3: Collect electronic signature data uploaded by subsequent users in real time, use the electronic signature gray value threshold to perform quality inspection on the electronic signature data, and provide re-signing prompts for electronic signature data that fails the quality inspection;

S4: Extract the user's electronic signature, and adjust the electronic signature gray value threshold according to the electronic signature.

The working principle of the above technical solution is: before starting to use the electronic signature system, the user needs to collect pre-electronic signature data three times. These collected data will be used as the basis for subsequent quality detection and threshold adjustment; based on the collected pre-electronic signature data, the system will automatically calculate a gray value threshold, which can be used as a basis for judging the quality of electronic signature data. standard. The gray value refers to the lightness and darkness of the pixel color in the signature. The clarity and quality of the signature can be judged by setting an appropriate threshold; when the user uploads new electronic signature data, the system will collect the data in real time and compare it with the gray value threshold. Compare. If the grayscale value of the electronic signature data is lower than the threshold, that is, the quality is unqualified, the system will issue a re-signing prompt and require the user to perform the signature operation again; the system will extract the user's electronic signature status, including the number of times the quality is qualified and unqualified, etc. . Based on these signature conditions and empirical rules, the system can automatically adjust the gray value threshold to adapt to different user signature habits and requirements.

The effect of the above technical solution is that by collecting the user's pre-electronic signature data and setting the gray value threshold according to it, the quality of the electronic signature can be improved. Only electronic signature data that meets predetermined standards will be recognized and used, thus avoiding misjudgments or disputes caused by signature quality issues; by collecting electronic signature data uploaded by users in real time, and using the set gray value threshold to Conduct quality inspections. When electronic signature data with unqualified quality is detected, the system will promptly issue a prompt to re-sign and guide the user to make corrections to ensure the accuracy and reliability of the signature data; based on the user's electronic signature, the system can extract relevant indicators and conduct Statistical Analysis. Based on these data, the system can automatically adjust the gray value threshold. This can better adapt to different users' signature habits and requirements, and improve the intelligence and adaptability of the system; this solution can ensure that the quality of electronic signature data reaches certain standards and meets legal and security requirements. Effective electronic signature data quality testing can improve the legal validity and confidentiality of electronic contracts, and protect users' rights and information security.

Example 2

In this embodiment, the user's three electronic signature data are collected, including:

S11: Provide users with a pre-signature interface;

S12: Display the three pre-signature prompts through the pre-signature interface;

S13: Collect the user's three pre-electronic signature data.

The working principle of the above technical solution is: the system provides the user with a pre-signing interface, which can display the pre-signing prompt information; on the pre-signing interface, the system will display the pre-signing prompt information three times. These prompt messages can be guidance related to signature quality, such as maintaining stable gestures, using appropriate handwriting, etc.; the user performs three pre-signing operations on the pre-signing interface. The system will collect these pre-signed data in real time and save it.

The effect of the above technical solution is: by providing users with a pre-signing interface and displaying pre-signing prompts, users can receive guidance and prompts before signing. This helps users pay attention to the accuracy and quality of signatures, thereby improving the quality level of signatures; by collecting the user's three pre-electronic signature data, the system can compare and analyze these data to identify potential errors or irregular signature behavior. This can help users discover and correct errors in a timely manner, thereby reducing the incidence of signature errors; by providing users with a pre-signature interface and displaying pre-signature prompts, users can more fully understand signature requirements and standards. This helps users adjust and improve their signatures and improve satisfaction and confidence; collecting users' pre-electronic signature data can be used as a reference for subsequent electronic signature data quality testing and threshold adjustment. The system can analyze and compare based on these data to provide more accurate judgment and guidance for the subsequent signature process.

Example 3

In this embodiment, setting the electronic signature gray value threshold according to the electronic signature data includes:

S21: Extract the pixel block corresponding to the electronic signature part in the first electronic signature data, and generate a gray value set of the first pixel block;

S22: Traverse the pixel block gray values in the first pixel block gray value set, and obtain the first gray threshold adjustment factor using the pixel block gray values in the first pixel block gray value set;

S23: Extract the pixel block corresponding to the electronic signature part in the second electronic signature data, and generate the gray value set of the second pixel block;

S24: Traverse the pixel block gray values in the second pixel block gray value set, and obtain the second gray threshold adjustment factor using the pixel block gray values in the second pixel block gray value set;

S25: Extract the pixel block corresponding to the electronic signature part in the third electronic signature data, and generate a gray value set of the third pixel block;

S26: Traverse the pixel block gray values in the first pixel block gray value set, and obtain the third gray threshold adjustment factor using the pixel block gray values in the third pixel block gray value set;

S27: Use the first grayscale threshold adjustment factor, the second grayscale threshold adjustment factor and the third grayscale threshold adjustment factor to integrate and generate an electronic signature grayscale value threshold.

Wherein, the first grayscale threshold adjustment factor, the second grayscale threshold adjustment factor and the third grayscale threshold adjustment factor are obtained by the following formula:

Among them, Y ₀₁ represents the first gray threshold adjustment factor; T _{min 1} and T _{max 1} represent the minimum gray value and maximum gray value in the pixel block corresponding to the electronic signature part in the first electronic signature data; T _b represents the electronic The gray value of the pixel blocks in the background interface of the signature; m ₁ represents the total number of pixel blocks corresponding to the electronic signature part in the first electronic signature data; n represents the total number of all pixel blocks included in the interface used for electronic signatures ; sqrt represents the root operation; λ ₁ represents the first reference factor;

Among them, Y ₀₂ represents the second gray threshold adjustment factor; T _{min 2} and T _{max 2} represent the minimum gray value and maximum gray value in the corresponding pixel block of the electronic signature part in the second electronic signature data; T _b represents the electronic The gray value of the pixel blocks in the background interface of the signature; m ₂ represents the total number of pixel blocks corresponding to the electronic signature part in the second electronic signature data; n represents the total number of all pixel blocks included in the interface used for electronic signatures ; sqrt represents the root operation; λ ₂ represents the second reference factor; X ₀₁ represents the first relative factor;

Among them, Y ₀₃ represents the third gray threshold adjustment factor; T _{min 3} and T _{max 3} represent the minimum gray value and maximum gray value in the corresponding pixel block of the electronic signature part in the third electronic signature data; T _b represents the electronic The gray value of the pixel blocks in the background interface of the signature; m ₃ represents the total number of pixel blocks corresponding to the electronic signature part in the third electronic signature data; n represents the total number of all pixel blocks included in the interface used for electronic signatures ; sqrt represents the root operation; λ ₃ represents the third reference factor; X ₀₂ represents the second relative factor; X ₀₃ represents the third relative factor;

At the same time, the electronic signature gray value threshold is obtained through the following formula:

Among them, T _u represents the electronic signature gray value threshold; σ _B ² ( T ) represents the intra-class variance under the threshold T; argmax _T represents finding the T value that makes the function reach the maximum value; argmax _T σ _B ² ( T ) represents To find the value of the threshold T such that the function of intra-class variance σ _B ² ( T ) reaches the maximum value;

The working principle of the above technical solution is: extract the pixel block corresponding to the electronic signature part in the first electronic signature data, generate a first pixel block gray value set; traverse the pixel block gray values in the first pixel block gray value set value, use the pixel block gray value in the first pixel block gray value set to obtain the first gray threshold adjustment factor; extract the pixel block corresponding to the electronic signature part in the second electronic signature data, and generate the second pixel block gray value Set of grayscale values; traverse the grayscale values of the pixel block in the second grayscale value set of the second pixel block, and obtain the second grayscale threshold adjustment factor using the grayscale values of the pixel block in the second grayscale value set of the second pixel block; Extract the pixel block corresponding to the electronic signature part in the third electronic signature data to generate a third pixel block gray value set; traverse the pixel block gray value in the first pixel block gray value set, and use the third pixel The pixel block gray value in the block gray value set obtains a third gray scale threshold adjustment factor; the first gray scale threshold adjustment factor, the second gray scale threshold adjustment factor and the third gray scale threshold adjustment factor are used to integrate and generate electronic Signature gray value threshold.

The effect of the above technical solution is: by extracting the gray value set of pixel blocks of multiple electronic signature data, and calculating the corresponding gray threshold adjustment factor based on the gray value set of each group of pixel blocks, it can flexibly adapt to the signature styles of different users. and device environment. This will help improve the accuracy and reliability of signature data; by traversing the gray value set of pixel blocks and utilizing the corresponding gray threshold adjustment factors, the gray value threshold of the electronic signature can be determined more accurately. This will help reduce errors and noise, and improve the accuracy and consistency of electronic signatures; by integrating different grayscale threshold adjustment factors to generate electronic signature grayscale value thresholds, the security of electronic signatures can be enhanced. This will make the signature data more difficult to be tampered with or forged, improving the anti-counterfeiting capabilities of the signature.

At the same time, since the signature font size and strength of the user's signature are different each time, there is a deviation in the gray value difference of the pixel block of each signature. Therefore, three gray scale threshold adjustment factors with associated deviation properties are set through three signatures, and use The three grayscale threshold adjustment factors obtain the electronic signature grayscale value threshold, which can effectively improve the rationality of the electronic signature grayscale value threshold setting and the matching with the user's signature habits, thereby preventing uniform electronic signature grayscale The value threshold causes the electronic signature gray value threshold to be unreasonably set, making the subsequent signature quality detection requirements too high, causing the user to repeatedly sign for verification. At the same time, it prevents the signature quality detection requirements from being too low, resulting in low signature security. On the other hand, the three gray threshold adjustment factors obtained through the above formula can effectively improve the accuracy of obtaining the gray threshold adjustment factors and the accuracy of electronic signature gray value threshold setting.

Example 4

In this embodiment, electronic signature data uploaded by subsequent users are collected in real time, the electronic signature gray value threshold is used to perform quality inspection on the electronic signature data, and re-signing prompts are provided for electronic signature data that fails the quality inspection, including:

S31: Collect electronic signature data uploaded by subsequent users in real time;

S32: Extract the corresponding grayscale value of the pixel block of the electronic signature part in the electronic signature data;

S33: Compare the gray value with the electronic signature gray value threshold, and count the pixel blocks whose gray value is lower than the electronic signature gray value threshold;

S34: When the number of pixel blocks whose gray value is lower than the electronic signature gray value threshold exceeds the preset quantity threshold, it is determined that the current electronic signature data is unqualified;

S35: When the current user's electronic signature data is judged to be unqualified, a re-signing prompt will be issued.

The working principle of the above technical solution is to: collect electronic signature data uploaded by subsequent users in real time; extract the corresponding grayscale value of the pixel block of the electronic signature part in the electronic signature data; compare the grayscale value with the grayscale of the electronic signature Compare the value threshold and count the pixel blocks whose gray value is lower than the electronic signature gray value threshold; when the number of pixel blocks whose gray value is lower than the electronic signature gray value threshold exceeds the preset quantity threshold When, the current electronic signature data is judged to be unqualified; when the current user's electronic signature data is judged to be unqualified, a re-signing prompt is issued.

The effect of the above technical solution is that through real-time collection and comparison of grayscale values, the quality of electronic signature data can be detected. This helps exclude low-quality signature data and ensures that only high-quality signature data is used and archived; quality inspection can exclude fuzzy, unclear or too shallow signature data, which may be invalid or forged. By re-signing prompts on signed data, users will be given the opportunity to make corrections and improvements to obtain more accurate and powerful signature results; the process of quality inspection and re-signing prompts can reduce errors and defects in signed data. This helps avoid disputes, controversies or legal issues caused by signature data quality issues and reduce associated risks; through re-signing prompts, users can learn about the unqualified signature data in a timely manner and have the opportunity to modify and improve it. This feedback mechanism helps improve user experience and increase user satisfaction with signature systems and services.

Example 5

In this embodiment, the user's electronic signature is extracted, and the electronic signature gray value threshold is adjusted according to the electronic signature, including:

S41: After the re-signing prompt, collect the user's first qualified electronic signature data after the re-signing prompt;

S42: Extract the grayscale values of all pixel blocks whose grayscale values are not lower than the electronic signature grayscale value threshold in the first qualified electronic signature data after the re-signing prompt;

S43: Set the grayscale threshold adjustment compensation parameter using the grayscale values of all pixel blocks whose grayscale values are not lower than the electronic signature grayscale value threshold in the first qualified electronic signature data after the re-signing prompt;

S44: Use the gray threshold adjustment compensation parameter to adjust the electronic signature gray value threshold to obtain the adjusted electronic signature gray value threshold.

Wherein, the gray threshold adjustment compensation parameter is obtained through the following formula:

Where, Tc represents the grayscale threshold adjustment compensation parameter; k represents the number of pixel blocks _in which all grayscale values of the first qualified electronic signature data after the re-signature prompt are not lower than the electronic signature grayscale value threshold; T _xi represents the gray value of the i - th pixel block among all pixel blocks whose gray value is not lower than the electronic signature gray value threshold in the first qualified electronic signature data after the re-signing prompt; t represents the The number of failed signatures experienced by the first qualified electronic signature data after the re-signing prompt; C _i represents the number of pixel blocks whose gray value is lower than the electronic signature gray value threshold for the i -th signature failure; C ₀ represents a preset quantity threshold; C represents the number of pixel blocks in which all grayscale values of the first qualified electronic signature data after the re-signature prompt are lower than the electronic signature grayscale value threshold; T _max represents an unqualified signature. The maximum gray value of the pixel block within the range of the electronic signature in the process;

At the same time, the adjusted electronic signature gray value threshold is obtained through the following formula:

Among them, T _ut represents the adjusted electronic signature gray value threshold; σ _B ² ( T ) represents the intra-class variance under the threshold T; argmax _T represents finding the T value that makes the function reach the maximum value; argmax _T σ _B ² ( T ) indicates that the value of the threshold T is to be found so that the function of intra-class variance σ _B ² ( T ) reaches the maximum value; T _c indicates the gray threshold adjustment compensation parameter;

The working principle of the above technical solution is: after the re-signing prompt, the system will collect the user's first qualified electronic signature data in real time to ensure that the latest signature information is obtained; from the first qualified electronic signature data after the re-signing prompt , extract the gray value of all pixel blocks whose gray value is not lower than the electronic signature gray value threshold. The grayscale values of these pixel blocks are signature data with sufficient high quality; using the extracted grayscale values of high-quality signature data, set the grayscale threshold to adjust the compensation parameters. This parameter will be used to adjust the grayscale value threshold of the electronic signature based on the actual signature situation; adjust the compensation parameter based on the grayscale threshold to adjust the grayscale value threshold of the electronic signature. The adjusted electronic signature gray value threshold will be more adaptable to the user's signature habits and device characteristics; the system can automatically adjust the electronic signature gray value threshold according to the user's actual signature to adapt to the signature habits and device characteristics of different users. This helps improve the accuracy and credibility of signature data and further optimizes the user experience and application effects of the electronic signature system.

The effect of the above technical solution is: by collecting the first qualified electronic signature data after the user re-signs, and extracting the high-quality pixel block gray value, the system can perform electronic signature grayscale according to the user's individual signature characteristics and habits. Adjustment of degree threshold. This can better adapt to different users' signature styles and device environments; by adjusting the electronic signature grayscale value threshold, the system can filter out low-quality pixel block grayscale values and retain high-quality signature data. This helps to improve the accuracy and credibility of signature data and reduce the impact of noise and interference on signature results; by automatically adjusting the electronic signature gray value threshold, the system can better adapt to the signature habits and device characteristics of different users. This can improve the convenience and efficiency of users when using the electronic signature system, while enhancing the consistency and readability of the signature results; adjusting the gray value threshold of the electronic signature can effectively suppress the risk of malicious tampering and forged signatures. By extracting high-quality signature data, the system can enhance the detection and prevention capabilities of forged signatures and improve signature security. At the same time, the grayscale threshold adjustment as described above can effectively improve the accuracy of the threshold adjustment and its ability to follow changes in the user's signature habits.

Example 6

This embodiment provides an electronic signature data quality detection system. The electronic signature data quality detection system includes:

Data collection module: collects the user’s three pre-electronic signature data;

Threshold setting module: sets the electronic signature gray value threshold according to the electronic signature data;

Quality detection module: Collect electronic signature data uploaded by subsequent users in real time, use the electronic signature gray value threshold to perform quality detection on the electronic signature data, and provide re-signing prompts for electronic signature data that fails the quality detection;

Threshold adjustment module: extracts the user's electronic signature and adjusts the electronic signature gray value threshold according to the electronic signature.

The working principle of the above technical solution is: before starting to use the electronic signature system, the user needs to collect pre-electronic signature data three times. These collected data will be used as the basis for subsequent quality detection and threshold adjustment; based on the collected pre-electronic signature data, the system will automatically calculate a gray value threshold, which can be used as a basis for judging the quality of electronic signature data. standard. The gray value refers to the lightness and darkness of the pixel color in the signature. The clarity and quality of the signature can be judged by setting an appropriate threshold; when the user uploads new electronic signature data, the system will collect the data in real time and compare it with the gray value threshold. Compare. If the grayscale value of the electronic signature data is lower than the threshold, that is, the quality is unqualified, the system will issue a re-signing prompt and require the user to perform the signature operation again; the system will extract the user's electronic signature status, including the number of times the quality is qualified and unqualified, etc. . Based on these signature conditions and empirical rules, the system can automatically adjust the gray value threshold to adapt to different user signature habits and requirements.

The effect of the above technical solution is that by collecting the user's pre-electronic signature data and setting the gray value threshold according to it, the quality of the electronic signature can be improved. Only electronic signature data that meets predetermined standards will be recognized and used, thus avoiding misjudgments or disputes caused by signature quality issues; by collecting electronic signature data uploaded by users in real time, and using the set gray value threshold to Conduct quality inspections. When electronic signature data with unqualified quality is detected, the system will promptly issue a prompt to re-sign and guide the user to make corrections to ensure the accuracy and reliability of the signature data; based on the user's electronic signature, the system can extract relevant indicators and conduct Statistical Analysis. Based on these data, the system can automatically adjust the gray value threshold. This can better adapt to different users' signature habits and requirements, and improve the intelligence and adaptability of the system; this solution can ensure that the quality of electronic signature data reaches certain standards and meets legal and security requirements. Effective electronic signature data quality testing can improve the legal validity and confidentiality of electronic contracts, and protect users' rights and information security.

Example 7

In this embodiment, the data collection module includes:

Interface providing module: provides users with a pre-signature interface;

Interface display module: Display three pre-signature prompts through the pre-signature interface;

Signature data collection module: collects the user's three pre-electronic signature data.

The working principle of the above technical solution is: the system provides the user with a pre-signing interface, which can display the pre-signing prompt information; on the pre-signing interface, the system will display the pre-signing prompt information three times. These prompt messages can be guidance related to signature quality, such as maintaining stable gestures, using appropriate handwriting, etc.; the user performs three pre-signing operations on the pre-signing interface. The system will collect these pre-signed data in real time and save it.

The effect of the above technical solution is: by providing users with a pre-signing interface and displaying pre-signing prompts, users can receive guidance and prompts before signing. This helps users pay attention to the accuracy and quality of signatures, thereby improving the quality level of signatures; by collecting the user's three pre-electronic signature data, the system can compare and analyze these data to identify potential errors or irregular signature behavior. This can help users discover and correct errors in a timely manner, thereby reducing the incidence of signature errors; by providing users with a pre-signature interface and displaying pre-signature prompts, users can more fully understand signature requirements and standards. This helps users adjust and improve their signatures and improve satisfaction and confidence; collecting users' pre-electronic signature data can be used as a reference for subsequent electronic signature data quality testing and threshold adjustment. The system can analyze and compare based on these data to provide more accurate judgment and guidance for the subsequent signature process.

Example 8

In this embodiment, the threshold setting module includes:

The first gray value generation module: extracts the pixel block corresponding to the electronic signature part in the first electronic signature data and generates the first pixel block gray value set;

The first grayscale value traversal module: traverses the grayscale values of the pixel block in the first pixel block grayscale value set, and obtains the first grayscale using the pixel block grayscale values in the first pixel block grayscale value set. threshold adjustment factor;

The second gray value generation module: extracts the pixel block corresponding to the electronic signature part in the second electronic signature data, and generates the second pixel block gray value set;

The second grayscale value traversal module: traverses the grayscale values of the pixel block in the second pixel block grayscale value set, and obtains the second grayscale using the pixel block grayscale value in the second pixel block grayscale value set. threshold adjustment factor;

The third gray value generation module: extracts the pixel block corresponding to the electronic signature part in the third electronic signature data and generates the gray value set of the third pixel block;

The third grayscale value traversal module: traverses the pixel block grayscale values in the first pixel block grayscale value set, and obtains the third grayscale using the pixel block grayscale values in the third pixel block grayscale value set. threshold adjustment factor;

Integration module: using the first grayscale threshold adjustment factor, the second grayscale threshold adjustment factor and the third grayscale threshold adjustment factor to integrate and generate the electronic signature grayscale value threshold.

The working principle of the above technical solution is: extract the pixel block corresponding to the electronic signature part in the first electronic signature data, generate a first pixel block gray value set; traverse the pixel block gray values in the first pixel block gray value set value, use the pixel block gray value in the first pixel block gray value set to obtain the first gray threshold adjustment factor; extract the pixel block corresponding to the electronic signature part in the second electronic signature data, and generate the second pixel block gray value Set of grayscale values; traverse the grayscale values of the pixel block in the second grayscale value set of the second pixel block, and obtain the second grayscale threshold adjustment factor using the grayscale values of the pixel block in the second grayscale value set of the second pixel block; Extract the pixel block corresponding to the electronic signature part in the third electronic signature data to generate a third pixel block gray value set; traverse the pixel block gray value in the first pixel block gray value set, and use the third pixel The pixel block gray value in the block gray value set obtains a third gray scale threshold adjustment factor; the first gray scale threshold adjustment factor, the second gray scale threshold adjustment factor and the third gray scale threshold adjustment factor are used to integrate and generate electronic Signature gray value threshold.

The effect of the above technical solution is: by extracting the gray value set of pixel blocks of multiple electronic signature data, and calculating the corresponding gray threshold adjustment factor based on the gray value set of each group of pixel blocks, it can flexibly adapt to the signature styles of different users. and device environment. This will help improve the accuracy and reliability of signature data; by traversing the gray value set of pixel blocks and utilizing the corresponding gray threshold adjustment factors, the gray value threshold of the electronic signature can be determined more accurately. This will help reduce errors and noise, and improve the accuracy and consistency of electronic signatures; by integrating different grayscale threshold adjustment factors to generate electronic signature grayscale value thresholds, the security of electronic signatures can be enhanced. This will make the signature data more difficult to be tampered with or forged, improving the anti-counterfeiting capabilities of the signature.

Example 9

In this embodiment, the quality detection module includes:

Data collection and update module: collects electronic signature data uploaded by subsequent users in real time;

Gray value extraction module: extract the corresponding gray value of the pixel block of the electronic signature part in the electronic signature data;

Pixel block counting module: compares the grayscale value with the electronic signature grayscale value threshold, and counts pixel blocks whose grayscale value is lower than the electronic signature grayscale value threshold;

Data compliance judgment module: when the number of pixel blocks with a grayscale value lower than the electronic signature grayscale value threshold exceeds the preset quantity threshold, it is determined that the current electronic signature data is unqualified;

Signature prompt module: When the current user's electronic signature data is judged to be unqualified, a re-signature prompt will be issued.

The working principle of the above technical solution is to: collect electronic signature data uploaded by subsequent users in real time; extract the corresponding grayscale value of the pixel block of the electronic signature part in the electronic signature data; compare the grayscale value with the grayscale of the electronic signature Compare the value threshold and count the pixel blocks whose gray value is lower than the electronic signature gray value threshold; when the number of pixel blocks whose gray value is lower than the electronic signature gray value threshold exceeds the preset quantity threshold When, the current electronic signature data is judged to be unqualified; when the current user's electronic signature data is judged to be unqualified, a re-signing prompt is performed.

The effect of the above technical solution is that through real-time collection and comparison of grayscale values, the quality of electronic signature data can be detected. This helps exclude low-quality signature data and ensures that only high-quality signature data is used and archived; quality inspection can exclude fuzzy, unclear or too shallow signature data, which may be invalid or forged. By re-signing prompts on signed data, users will be given the opportunity to make corrections and improvements to obtain more accurate and powerful signature results; the process of quality inspection and re-signing prompts can reduce errors and defects in signed data. This helps avoid disputes, controversies or legal issues caused by signature data quality issues and reduce associated risks; through re-signing prompts, users can learn about the unqualified signature data in a timely manner and have the opportunity to modify and improve it. This feedback mechanism helps improve user experience and increase user satisfaction with signature systems and services.

Example 10

In this embodiment, the threshold adjustment module includes:

Qualified data collection module: After the re-signing prompt, collect the user's first qualified electronic signature data after the re-signing prompt;

Gray value judgment module: extract the gray value of all pixel blocks whose gray value is not lower than the electronic signature gray value threshold in the first qualified electronic signature data after the re-signing prompt;

Adjustment supplement module: Set the grayscale threshold adjustment compensation parameter by using the grayscale values of all pixel blocks whose grayscale values are not lower than the electronic signature grayscale value threshold in the first qualified electronic signature data after the re-signature prompt;

Gray value threshold adjustment module: uses the gray value threshold adjustment compensation parameter to adjust the electronic signature gray value threshold to obtain the adjusted electronic signature gray value threshold.

The working principle of the above technical solution is: after the re-signing prompt, the system will collect the user's first qualified electronic signature data in real time to ensure that the latest signature information is obtained; from the first qualified electronic signature data after the re-signing prompt , extract the gray value of all pixel blocks whose gray value is not lower than the electronic signature gray value threshold. The grayscale values of these pixel blocks are signature data with sufficient high quality; using the extracted grayscale values of high-quality signature data, set the grayscale threshold to adjust the compensation parameters. This parameter will be used to adjust the grayscale value threshold of the electronic signature based on the actual signature situation; adjust the compensation parameter based on the grayscale threshold to adjust the grayscale value threshold of the electronic signature. The adjusted electronic signature gray value threshold will be more adaptable to the user's signature habits and device characteristics; the system can automatically adjust the electronic signature gray value threshold according to the user's actual signature to adapt to the signature habits and device characteristics of different users. This helps improve the accuracy and credibility of signature data and further optimizes the user experience and application effects of the electronic signature system.

The effect of the above technical solution is: by collecting the first qualified electronic signature data after the user re-signs, and extracting the high-quality pixel block gray value, the system can perform electronic signature grayscale according to the user's individual signature characteristics and habits. Adjustment of degree threshold. This can better adapt to different users' signature styles and device environments; by adjusting the electronic signature grayscale value threshold, the system can filter out low-quality pixel block grayscale values and retain high-quality signature data. This helps to improve the accuracy and credibility of signature data and reduce the impact of noise and interference on signature results; by automatically adjusting the electronic signature gray value threshold, the system can better adapt to the signature habits and device characteristics of different users. This can improve the convenience and efficiency of users when using the electronic signature system, while enhancing the consistency and readability of the signature results; adjusting the gray value threshold of the electronic signature can effectively suppress the risk of malicious tampering and forged signatures. By extracting high-quality signature data, the system can enhance the detection and prevention capabilities of forged signatures and improve signature security.

Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the invention. In this way, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims (10)

1. An electronic signature data quality detection method, characterized in that the electronic signature data quality detection method includes: Collect the user’s three pre-electronic signature data; Set an electronic signature gray value threshold according to the electronic signature data; Collect electronic signature data uploaded by subsequent users in real time, use the electronic signature gray value threshold to perform quality inspection on the electronic signature data, and provide re-signing prompts for electronic signature data that fails the quality inspection; Extract the user's electronic signature, and adjust the electronic signature gray value threshold according to the electronic signature. 2. The electronic signature data quality detection method according to claim 1, characterized in that collecting the user's three electronic signature data includes: Provide users with a pre-signature interface; Display three pre-signature prompts through the pre-signature interface; Collect the user's three pre-electronic signature data. 3. The electronic signature data quality detection method according to claim 1, characterized in that setting the electronic signature gray value threshold according to the electronic signature data includes: Extract the pixel block corresponding to the electronic signature part in the first electronic signature data, and generate a gray value set of the first pixel block; Traverse the pixel block grayscale values in the first pixel block grayscale value set, and obtain the first grayscale threshold adjustment factor using the pixel block grayscale values in the first pixel block grayscale value set; Extract the pixel block corresponding to the electronic signature part in the second electronic signature data, and generate the gray value set of the second pixel block; Traverse the pixel block grayscale values in the second pixel block grayscale value set, and obtain the second grayscale threshold adjustment factor using the pixel block grayscale values in the second pixel block grayscale value set; Extract the pixel block corresponding to the electronic signature part in the third electronic signature data, and generate the gray value set of the third pixel block; Traverse the pixel block grayscale values in the first pixel block grayscale value set, and obtain the third grayscale threshold adjustment factor using the pixel block grayscale values in the third pixel block grayscale value set; The electronic signature gray value threshold is generated by integrating the first gray scale threshold adjustment factor, the second gray scale threshold adjustment factor and the third gray scale threshold adjustment factor. 4. The electronic signature data quality detection method according to claim 1, characterized in that the electronic signature data uploaded by subsequent users is collected in real time, and the electronic signature gray value threshold is used to perform quality detection on the electronic signature data. Qualified electronic signature data for re-signing prompts include: Collect electronic signature data uploaded by subsequent users in real time; Extract the corresponding grayscale value of the pixel block of the electronic signature part in the electronic signature data; Compare the grayscale value with the electronic signature grayscale value threshold, and count the pixel blocks whose grayscale value is lower than the electronic signature grayscale value threshold; When the number of pixel blocks whose grayscale value is lower than the electronic signature grayscale value threshold exceeds the preset quantity threshold, it is determined that the current electronic signature data is unqualified; When the current user's electronic signature data is judged to be unqualified, a re-signing prompt will be issued. 5. The electronic signature data quality detection method according to claim 1, characterized by extracting the user's electronic signature and adjusting the electronic signature gray value threshold according to the electronic signature, including: After the re-signing prompt, collect the user's first qualified electronic signature data after the re-signing prompt; Extract the grayscale values of all pixel blocks whose grayscale values are not lower than the electronic signature grayscale value threshold in the first qualified electronic signature data after the re-signature prompt; Setting the grayscale threshold adjustment compensation parameter using the grayscale values of all pixel blocks whose grayscale values are not lower than the electronic signature grayscale value threshold in the first qualified electronic signature data after the re-signature prompt; The grayscale value threshold of the electronic signature is adjusted using the grayscale threshold adjustment compensation parameter to obtain the adjusted grayscale value threshold of the electronic signature. 6. An electronic signature data quality detection system, characterized in that the electronic signature data quality detection system includes: Data collection module: collects the user’s three pre-electronic signature data; Threshold setting module: sets the electronic signature gray value threshold according to the electronic signature data; Quality detection module: Collect electronic signature data uploaded by subsequent users in real time, use the electronic signature gray value threshold to perform quality detection on the electronic signature data, and provide re-signing prompts for electronic signature data that fails the quality detection; Threshold adjustment module: extracts the user's electronic signature and adjusts the electronic signature gray value threshold according to the electronic signature. 7. The electronic signature data quality detection system according to claim 6, characterized in that the data collection module includes: Interface providing module: provides users with a pre-signature interface; Interface display module: Display three pre-signature prompts through the pre-signature interface; Signature data collection module: collects the user's three pre-electronic signature data. 8. The electronic signature data quality detection system according to claim 6, characterized in that the threshold setting module includes: The first gray value generation module: extracts the pixel block corresponding to the electronic signature part in the first electronic signature data and generates the first pixel block gray value set; The first grayscale value traversal module: traverses the grayscale values of the pixel block in the first pixel block grayscale value set, and obtains the first grayscale using the pixel block grayscale values in the first pixel block grayscale value set. threshold adjustment factor; The second gray value generation module: extracts the pixel block corresponding to the electronic signature part in the second electronic signature data, and generates the second pixel block gray value set; The second grayscale value traversal module: traverses the grayscale values of the pixel block in the second pixel block grayscale value set, and obtains the second grayscale using the pixel block grayscale value in the second pixel block grayscale value set. threshold adjustment factor; The third gray value generation module: extracts the pixel block corresponding to the electronic signature part in the third electronic signature data and generates the gray value set of the third pixel block; The third grayscale value traversal module: traverses the pixel block grayscale values in the first pixel block grayscale value set, and obtains the third grayscale using the pixel block grayscale values in the third pixel block grayscale value set. threshold adjustment factor; Integration module: using the first grayscale threshold adjustment factor, the second grayscale threshold adjustment factor and the third grayscale threshold adjustment factor to integrate and generate the electronic signature grayscale value threshold. 9. The electronic signature data quality detection system according to claim 6, characterized in that the quality detection module includes: Data collection and update module: collects electronic signature data uploaded by subsequent users in real time; Gray value extraction module: extract the corresponding gray value of the pixel block of the electronic signature part in the electronic signature data; Pixel block counting module: compares the grayscale value with the electronic signature grayscale value threshold, and counts pixel blocks whose grayscale value is lower than the electronic signature grayscale value threshold; Data compliance judgment module: when the number of pixel blocks with a grayscale value lower than the electronic signature grayscale value threshold exceeds the preset quantity threshold, it is determined that the current electronic signature data is unqualified; Signature prompt module: When the current user's electronic signature data is judged to be unqualified, a re-signature prompt will be issued. 10. The electronic signature data quality detection system according to claim 6, characterized in that the threshold adjustment module includes: Qualified data collection module: After the re-signing prompt, collect the user's first qualified electronic signature data after the re-signing prompt; Gray value judgment module: extract the gray value of all pixel blocks whose gray value is not lower than the electronic signature gray value threshold in the first qualified electronic signature data after the re-signing prompt; Adjustment supplement module: Set the grayscale threshold adjustment compensation parameter by using the grayscale values of all pixel blocks whose grayscale values are not lower than the electronic signature grayscale value threshold in the first qualified electronic signature data after the re-signature prompt; Gray value threshold adjustment module: uses the gray value threshold adjustment compensation parameter to adjust the electronic signature gray value threshold to obtain the adjusted electronic signature gray value threshold.