CN117235813B - Electronic signature data quality detection method and system - Google Patents
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Abstract
The invention provides a method and a system for detecting the quality of electronic signature data. The electronic signature data quality detection method comprises the following steps: collecting three times of pre-electronic signature data of a user; setting an electronic signature gray value threshold according to the electronic signature data; collecting electronic signature data uploaded by a subsequent user in real time, detecting the quality of the electronic signature data by utilizing the electronic signature gray value threshold value, and carrying out re-signature prompt on the electronic signature data with unqualified quality detection; and extracting the electronic signature condition of the user, and adjusting the gray value threshold of the electronic signature according to the electronic signature condition. The system comprises modules corresponding to the method steps. By analyzing pixel block information of the electronic signature data and calculating the gray threshold adjustment factor, quality problems that may exist in the signature data can be detected and corrected.
Description
Technical Field
The invention relates to the technical field of data quality detection, in particular to a method and a system for detecting the quality of electronic signature data.
Background
In the prior art, quality detection of electronic signature data has mostly relied on manual auditing or some specific software tools. However, manual auditing not only consumes a significant amount of human resources, but may also be misjudged by various factors (e.g., fatigue, negligence, etc.). While software tools may work in part automatically, they are often not self-adjusting to changing user behavior and therefore may not accurately detect quality in the face of complex electronic signature data.
Quality detection of electronic signature data is important for the authenticity and legitimacy of the signature. A valid electronic signature data should be signed by the user voluntarily in a fair, public environment, and should not be tampered with or destroyed in any way. Therefore, developing a method that can effectively detect the quality of electronic signature data is an important direction of current technology development.
Disclosure of Invention
The invention provides a method and a system for detecting the quality of electronic signature data, which are used for solving the problems that in the prior art, when an electronic signature is carried out, the electronic signature data is possibly influenced by a plurality of factors such as environment, equipment, human factors and the like, so that the problems of noise, distortion, deformation and the like of the signature data occur, thereby reducing the accuracy and the reliability of the signature data and influencing the validity and the legality of the electronic signature:
the invention provides a method for detecting the quality of electronic signature data, which comprises the following steps:
s1: collecting three times of pre-electronic signature data of a user;
s2: setting an electronic signature gray value threshold according to the electronic signature data;
s3: collecting electronic signature data uploaded by a subsequent user in real time, detecting the quality of the electronic signature data by utilizing the electronic signature gray value threshold value, and carrying out re-signature prompt on the electronic signature data with unqualified quality detection;
S4: and extracting the electronic signature condition of the user, and adjusting the gray value threshold of the electronic signature according to the electronic signature condition.
Further, collecting the third-time electronic signature data of the user, including:
s11: providing a pre-signature interface for a user;
s12: displaying the three pre-signature prompts through a pre-signature interface;
s13: and collecting the three times of pre-electronic signature data of the user.
Further, setting an electronic signature gray value threshold according to the electronic signature data includes:
s21: extracting a pixel block corresponding to an electronic signature part in the first electronic signature data, and generating a first pixel block gray value set;
s22: traversing the pixel block gray values in the first pixel block gray value set, and acquiring a first gray threshold adjustment factor by using the pixel block gray values in the first pixel block gray value set;
s23: extracting a pixel block corresponding to the electronic signature part in the second secondary electron signature data, and generating a second pixel block gray value set;
s24: traversing the pixel block gray values in the second pixel block gray value set, and acquiring a second gray threshold adjustment factor by using the pixel block gray values in the second pixel block gray value set;
S25: extracting a pixel block corresponding to the electronic signature part in the third electronic signature data, and generating a third pixel block gray value set;
s26: traversing the pixel block gray values in the first pixel block gray value set, and acquiring a third gray threshold adjustment factor by using the pixel block gray values in the third pixel block gray value set;
s27: and integrating the first gray threshold adjustment factor, the second gray threshold adjustment factor and the third gray threshold adjustment factor to generate an electronic signature gray value threshold.
Further, collecting electronic signature data uploaded by a subsequent user in real time, detecting the quality of the electronic signature data by using the electronic signature gray value threshold, and performing re-signature prompting on the electronic signature data with unqualified quality detection, including:
s31: collecting electronic signature data uploaded by a subsequent user in real time;
s32: extracting a corresponding gray value of a pixel block of an electronic signature part in the electronic signature data;
s33: comparing the gray value with the electronic signature gray value threshold value, and counting pixel blocks with gray values lower than the electronic signature gray value threshold value;
s34: when the number of pixel blocks with gray values lower than the gray value threshold of the electronic signature exceeds a preset number threshold, judging that the current electronic signature data is unqualified;
S35: and when the electronic signature data of the current user is judged to be unqualified, performing re-signature prompt.
Further, extracting an electronic signature condition of a user, and adjusting an electronic signature gray value threshold according to the electronic signature condition, including:
s41: after the re-signing prompt, collecting the first qualified electronic signature data after the re-signing prompt of the user;
s42: extracting all gray values of the pixel blocks of which the gray values of the first qualified electronic signature data after the re-signature prompt are not lower than the gray value threshold of the electronic signature;
s43: setting gray threshold adjustment compensation parameters by using gray values of pixel blocks, of which all gray values of the first qualified electronic signature data after the re-signature prompt are not lower than the gray value threshold of the electronic signature;
s44: and adjusting the gray value threshold of the electronic signature by using the gray value adjustment compensation parameter to obtain the adjusted gray value threshold of the electronic signature.
The invention provides an electronic signature data quality detection system, which is characterized by comprising:
and a data acquisition module: collecting three times of pre-electronic signature data of a user;
A threshold setting module: setting an electronic signature gray value threshold according to the electronic signature data;
the quality detection module is as follows: collecting electronic signature data uploaded by a subsequent user in real time, detecting the quality of the electronic signature data by utilizing the electronic signature gray value threshold value, and carrying out re-signature prompt on the electronic signature data with unqualified quality detection;
a threshold adjustment module: and extracting the electronic signature condition of the user, and adjusting the gray value threshold of the electronic signature according to the electronic signature condition.
Further, the data acquisition module includes:
an interface providing module: providing a pre-signature interface for a user;
and an interface display module: displaying the three pre-signature prompts through a pre-signature interface;
signature data acquisition module: and collecting the three times of pre-electronic signature data of the user.
Further, the threshold setting module includes:
a first gray value generation module: extracting a pixel block corresponding to an electronic signature part in the first electronic signature data, and generating a first pixel block gray value set;
a first gray value traversal module: traversing the pixel block gray values in the first pixel block gray value set, and acquiring a first gray threshold adjustment factor by using the pixel block gray values in the first pixel block gray value set;
The second gray value generation module: extracting a pixel block corresponding to the electronic signature part in the second secondary electron signature data, and generating a second pixel block gray value set;
the second gray value traversing module: traversing the pixel block gray values in the second pixel block gray value set, and acquiring a second gray threshold adjustment factor by using the pixel block gray values in the second pixel block gray value set;
a third gray value generation module: extracting a pixel block corresponding to the electronic signature part in the third electronic signature data, and generating a third pixel block gray value set;
and a third gray value traversing module: traversing the pixel block gray values in the first pixel block gray value set, and acquiring a third gray threshold adjustment factor by using the pixel block gray values in the third pixel block gray value set;
and (3) an integration module: and integrating the first gray threshold adjustment factor, the second gray threshold adjustment factor and the third gray threshold adjustment factor to generate an electronic signature gray value threshold.
Further, the quality detection module includes:
and the data acquisition updating module: collecting electronic signature data uploaded by a subsequent user in real time;
gray value extraction module: extracting a corresponding gray value of a pixel block of an electronic signature part in the electronic signature data;
A pixel block counting module: comparing the gray value with the electronic signature gray value threshold value, and counting pixel blocks with gray values lower than the electronic signature gray value threshold value;
and a data compliance judging module: when the number of pixel blocks with gray values lower than the gray value threshold of the electronic signature exceeds a preset number threshold, judging that the current electronic signature data is unqualified;
signature prompting module: and when the electronic signature data of the current user is judged to be unqualified, performing re-signature prompt.
Further, the threshold adjustment module includes:
qualified data acquisition module: after the re-signing prompt, collecting the first qualified electronic signature data after the re-signing prompt of the user;
gray value judging module: extracting all gray values of the pixel blocks of which the gray values of the first qualified electronic signature data after the re-signature prompt are not lower than the gray value threshold of the electronic signature;
and (3) adjusting a supplementing module: setting gray threshold adjustment compensation parameters by using gray values of pixel blocks, of which all gray values of the first qualified electronic signature data after the re-signature prompt are not lower than the gray value threshold of the electronic signature;
Gray value threshold adjustment module: and adjusting the gray value threshold of the electronic signature by using the gray value adjustment compensation parameter to obtain the adjusted gray value threshold of the electronic signature.
The invention has the beneficial effects that: by analyzing pixel block information of the electronic signature data and calculating the gray threshold adjustment factor, quality problems such as noise, distortion, deformation, etc., which may exist in the signature data can be detected and corrected. This will increase the accuracy of the signature data, making it more in line with the user's true signature; by detecting the quality of the electronic signature data, potential problems can be found and eliminated, and the reliability of the signature data is improved. The method is helpful for preventing signature data from being tampered or forged, and increasing the anti-counterfeiting capacity of the signature, thereby ensuring the integrity and the credibility of the data; according to the signature styles and the equipment environments of different users, the gray threshold adjustment factors are automatically adjusted to adapt to different signature conditions. The system has stronger adaptability and flexibility, can adapt to various signature scenes, and improves the accuracy and effect of detection; by detecting and correcting the quality of the signature data, the security of the electronic signature can be effectively improved. The identification and elimination of quality problems can prevent signature data from being maliciously utilized or forged, so that the protection capability of the signature is enhanced, and the legality and the credibility of the signature data are ensured.
Drawings
FIG. 1 is a step diagram of an electronic signature data quality detection method according to the present invention;
fig. 2 is an interaction diagram of an electronic signature data quality detection system according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Example 1
The embodiment of the invention provides a method for detecting the quality of electronic signature data, which comprises the following steps:
s1: collecting three times of pre-electronic signature data of a user;
s2: setting an electronic signature gray value threshold according to the electronic signature data;
s3: collecting electronic signature data uploaded by a subsequent user in real time, detecting the quality of the electronic signature data by utilizing the electronic signature gray value threshold value, and carrying out re-signature prompt on the electronic signature data with unqualified quality detection;
s4: and extracting the electronic signature condition of the user, and adjusting the gray value threshold of the electronic signature according to the electronic signature condition.
The working principle of the technical scheme is as follows: the user needs to perform three acquisitions of pre-electronic signature data before starting to use the electronic signature system. The acquired data are used as a reference for subsequent quality detection and the basis for adjusting the threshold value; based on the collected pre-electronic signature data, the system automatically calculates a gray value threshold, which can be used as a standard for judging the quality of the electronic signature data. The gray value refers to the brightness degree of the pixel color in the signature, and the definition and quality of the signature can be judged by setting a proper threshold value; when a user uploads new electronic signature data, the system will collect the data in real time and compare it to the gray value threshold. If the gray value of the electronic signature data is lower than the threshold value, namely the quality is unqualified, the system sends out a re-signature prompt to require the user to re-perform the signature operation; the system will extract the user's electronic signature, including the number of quality passes and fails, etc. According to the signature conditions and experience rules, the system can automatically adjust the gray value threshold value to adapt to different user signature habits and requirements.
The technical scheme has the effects that: by collecting the pre-electronic signature data of the user and setting the gray value threshold according to the pre-electronic signature data, the quality of the electronic signature can be improved. Only the electronic signature data meeting the preset standard can be approved and used, so that misjudgment or dispute caused by the problem of signature quality is avoided; the electronic signature data uploaded by the user are collected in real time, and quality detection is carried out on the electronic signature data by utilizing a set gray value threshold. When unqualified electronic signature data is detected, the system sends out a re-signature prompt in time to guide a user to correct, so that the accuracy and reliability of the signature data are ensured; according to the electronic signature condition of the user, the system can extract relevant indexes and perform statistical analysis. Based on these data, the system can automatically adjust the gray value threshold. Thus, the method can better adapt to different user signature habits and requirements, and improves the intellectualization and adaptability of the system; the scheme can ensure that the quality of the electronic signature data reaches a certain standard, and meets legal and safety requirements. The effective electronic signature data quality detection can improve legal effectiveness and confidentiality of the electronic contract and protect rights and interests of users and information security.
Example 2
In this embodiment, collecting tertiary electronic signature data of a user includes:
s11: providing a pre-signature interface for a user;
s12: displaying the three pre-signature prompts through a pre-signature interface;
s13: and collecting the three times of pre-electronic signature data of the user.
The working principle of the technical scheme is as follows: the system provides a pre-signature interface for the user, and the interface can display pre-signed prompt information; on the pre-signature interface, the system displays three pre-signed prompts. These hints may be guidelines regarding the quality of the signature, such as gestures to remain stable, use of 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 technical scheme has the effects that: by providing the user with a pre-signature interface and presenting pre-signature prompts, the user may be guided and prompted prior to signing. This helps the user to note the accuracy and quality of the signature, thereby improving the quality level of the signature; by collecting the user's three pre-electronic signature data, the system can compare and analyze the data to identify potentially erroneous or non-canonical signature behavior. Thus, the user can be helped to find and correct errors in time, and the occurrence rate of signature errors is reduced; by providing a pre-signature interface to the user and presenting pre-signature prompts, the user is able to more fully understand the signature requirements and criteria. The user can adjust and improve the signature of the user, and the satisfaction degree and the confidence are improved; the collected pre-electronic signature data of the user can be used as a reference basis for detecting the quality of the subsequent electronic signature data and adjusting the threshold value. The system can analyze and compare according to the data, and provides more accurate judgment and guidance for the subsequent signature process.
Example 3
In this embodiment, setting an electronic signature gray value threshold according to the electronic signature data includes:
s21: extracting a pixel block corresponding to an electronic signature part in the first electronic signature data, and generating a first pixel block gray value set;
s22: traversing the pixel block gray values in the first pixel block gray value set, and acquiring a first gray threshold adjustment factor by using the pixel block gray values in the first pixel block gray value set;
s23: extracting a pixel block corresponding to the electronic signature part in the second secondary electron signature data, and generating a second pixel block gray value set;
s24: traversing the pixel block gray values in the second pixel block gray value set, and acquiring a second gray threshold adjustment factor by using the pixel block gray values in the second pixel block gray value set;
s25: extracting a pixel block corresponding to the electronic signature part in the third electronic signature data, and generating a third pixel block gray value set;
s26: traversing the pixel block gray values in the first pixel block gray value set, and acquiring a third gray threshold adjustment factor by using the pixel block gray values in the third pixel block gray value set;
s27: and integrating the first gray threshold adjustment factor, the second gray threshold adjustment factor and the third gray threshold adjustment factor to generate an electronic signature gray value threshold.
The first gray threshold adjustment factor, the second gray threshold adjustment factor and the third gray threshold adjustment factor are obtained through the following formula:
wherein,Y 01 representing a first gray threshold adjustment factor;T min1 andT max1 representing a gray minimum value and a gray maximum value in a pixel block corresponding to an electronic signature part in the first electronic signature data;T b gray values of pixel blocks representing a background interface of the electronic signature;m 1 representing the total number of pixel blocks corresponding to the electronic signature part in the first electronic signature data;nrepresenting the total number of all pixel blocks contained in the interface for electronic signature;sqrtrepresenting root number operation;λ 1 representing a first reference factor;
wherein,Y 02 representing a second gray level threshold adjustment factor;T min2 andT max2 representing an electronic signature part in the second electronic signature dataDividing a gray minimum value and a gray maximum value in the corresponding pixel blocks;T b gray values of pixel blocks representing a background interface of the electronic signature;m 2 representing the total number of pixel blocks corresponding to the electronic signature part in the second secondary electronic signature data;nrepresenting the total number of all pixel blocks contained in the interface for electronic signature;sqrtrepresenting root number operation;λ 2 representing a second reference factor; X 01 Representing a first relative factor;
wherein,Y 03 representing a third gray threshold adjustment factor;T min3 andT max3 representing a gray minimum value and a gray maximum value in a pixel block corresponding to the electronic signature part in the third electronic signature data;T b gray values of pixel blocks representing a background interface of the electronic signature;m 3 representing the total number of pixel blocks corresponding to the electronic signature part in the third electronic signature data;nrepresenting the total number of all pixel blocks contained in the interface for electronic signature;sqrtrepresenting root number operation;λ 3 representing a third reference factor;X 02 representing a second relative factor;X 03 representing a third relative factor;
meanwhile, the electronic signature gray value threshold is obtained through the following formula:
wherein,T u representing an electronic signature gray value threshold;σ B 2 （T) Representing the intra-class variance below a threshold T; argmax T Indicating that finding the function to the maximum valueT A value; argmax T σ B 2 （T) Indicating that a threshold is to be foundTIs used as a reference to the value of (a),function of making intra-class varianceσ B 2 （T) Reaching a maximum value;
the working principle of the technical scheme is as follows: extracting a pixel block corresponding to an electronic signature part in the first electronic signature data, and generating a first pixel block gray value set; traversing the pixel block gray values in the first pixel block gray value set, and acquiring a first gray threshold adjustment factor by using the pixel block gray values in the first pixel block gray value set; extracting a pixel block corresponding to the electronic signature part in the second secondary electron signature data, and generating a second pixel block gray value set; traversing the pixel block gray values in the second pixel block gray value set, and acquiring a second gray threshold adjustment factor by using the pixel block gray values in the second pixel block gray value set; extracting a pixel block corresponding to the electronic signature part in the third electronic signature data, and generating a third pixel block gray value set; traversing the pixel block gray values in the first pixel block gray value set, and acquiring a third gray threshold adjustment factor by using the pixel block gray values in the third pixel block gray value set; and integrating the first gray threshold adjustment factor, the second gray threshold adjustment factor and the third gray threshold adjustment factor to generate an electronic signature gray value threshold.
The technical scheme has the effects that: the method can flexibly adapt to signature styles and equipment environments of different users by extracting pixel block gray value sets of multiple times of electronic signature data and calculating corresponding gray threshold adjustment factors according to each group of pixel block gray value sets. This will help to improve the accuracy and reliability of the signature data; by traversing the pixel block gray value set and utilizing the corresponding gray threshold adjustment factor, the gray value threshold of the electronic signature can be more accurately determined. This will help to reduce errors and noise, improving the accuracy and consistency of the electronic signature; the electronic signature gray value threshold value is generated by integrating different gray value threshold value adjusting factors, so that the security of the electronic signature can be enhanced. This will make the signature data more difficult to tamper with or forge, improving the anti-counterfeit capability of the signature.
Meanwhile, as the size and the strength of the signature fonts of each signature are different, the difference of the gray values of each signature pixel block is caused to have deviation, three gray threshold adjustment factors with associated deviation property are set through three signatures, and the three gray threshold adjustment factors are utilized to obtain the gray value threshold of the electronic signature, so that the rationality of the gray value threshold setting of the electronic signature and the matching property between the gray value threshold setting of the electronic signature and the custom of the signature of the user can be effectively improved, further, the problem that the subsequent signature quality detection requirement is too high due to unreasonable electronic signature gray value threshold setting caused by unified and unified electronic signature gray value threshold setting is caused to cause the problem that the user repeatedly signs to verify is solved, and meanwhile, the problem that the signature security is lower due to the too low signature quality detection requirement is prevented. On the other hand, the three gray threshold adjustment factors obtained through the formula can effectively improve the accuracy of the gray threshold adjustment factor and the accuracy of the electronic signature gray value threshold setting.
Example 4
In this embodiment, electronic signature data uploaded by a subsequent user is collected in real time, quality detection is performed on the electronic signature data by using the electronic signature gray value threshold, and re-signature prompt is performed on electronic signature data with unqualified quality detection, including:
s31: collecting electronic signature data uploaded by a subsequent user in real time;
s32: extracting a corresponding gray value of a pixel block of an electronic signature part in the electronic signature data;
s33: comparing the gray value with the electronic signature gray value threshold value, and counting pixel blocks with gray values lower than the electronic signature gray value threshold value;
s34: when the number of pixel blocks with gray values lower than the gray value threshold of the electronic signature exceeds a preset number threshold, judging that the current electronic signature data is unqualified;
s35: and when the electronic signature data of the current user is judged to be unqualified, performing re-signature prompt.
The working principle of the technical scheme is as follows: collecting electronic signature data uploaded by a subsequent user in real time; extracting a corresponding gray value of a pixel block of an electronic signature part in the electronic signature data; comparing the gray value with the electronic signature gray value threshold value, and counting pixel blocks with gray values lower than the electronic signature gray value threshold value; when the number of pixel blocks with gray values lower than the gray value threshold of the electronic signature exceeds a preset number threshold, judging that the current electronic signature data is unqualified; and when the electronic signature data of the current user is judged to be unqualified, performing re-signature prompt.
The technical scheme has the effects that: the quality detection of the electronic signature data can be performed through real-time acquisition and gray value comparison. This helps to exclude low quality signature data, ensuring that only high quality signature data is used and archived; quality detection can exclude blurred, unclear, or too light signature data, which may be invalid or counterfeit. By re-signing the signature data, the user can get opportunities to correct and improve so as to obtain more accurate and powerful signature results; the process of quality detection and re-signing hints may reduce errors and imperfections present in the signature data. This helps to avoid disputes, disputes or legal problems due to signature data quality problems, reducing associated risks; through the re-signature prompt, the user can timely know the disqualification condition of the signature data and has the opportunity to modify and perfect. The feedback mechanism is beneficial to improving the user experience and increasing the satisfaction degree of the user on the signature system and the service.
Example 5
In this embodiment, extracting an electronic signature of a user, and adjusting a gray value threshold of the electronic signature according to the electronic signature includes:
S41: after the re-signing prompt, collecting the first qualified electronic signature data after the re-signing prompt of the user;
s42: extracting all gray values of the pixel blocks of which the gray values of the first qualified electronic signature data after the re-signature prompt are not lower than the gray value threshold of the electronic signature;
s43: setting gray threshold adjustment compensation parameters by using gray values of pixel blocks, of which all gray values of the first qualified electronic signature data after the re-signature prompt are not lower than the gray value threshold of the electronic signature;
s44: and adjusting the gray value threshold of the electronic signature by using the gray value adjustment compensation parameter to obtain the adjusted gray value threshold of the electronic signature.
The gray threshold adjustment compensation parameter is obtained through the following formula:
wherein,T c representing gray threshold adjustment compensation parameters;krepresenting the number of pixel blocks of which all gray values of the electronic signature data which are qualified for the first time after the re-signature prompt are not lower than an electronic signature gray value threshold;T xi the first time qualified electronic signature data after the re-signature prompt is represented by the pixel block with all gray values not lower than the gray value threshold of the electronic signature iGray values of the individual pixel blocks;trepresenting the number of signature failures experienced before the first qualified electronic signature data after the re-signature hint;C i represent the firstiThe number of pixel blocks with sub-signature failed gray values lower than the electronic signature gray value threshold;C 0 representing a preset quantity threshold;Crepresenting the number of pixel blocks with all gray values of the first qualified electronic signature data below an electronic signature gray value threshold after the re-signature prompt;T max representing a maximum gray value of a pixel block in an electronic signature range in a signature failure process;
meanwhile, the adjusted gray value threshold of the electronic signature is obtained through the following formula:
wherein,T ut representing the adjusted electronic signature gray value threshold;σ B 2 （T) Representing the intra-class variance below a threshold T; argmax T Indicating that finding the function to the maximum valueT A value; argmax T σ B 2 （T) Indicating that a threshold is to be foundTTo function the intra-class varianceσ B 2 （T) Reaching a maximum value;T c representing gray threshold adjustment compensation parameters;
the working principle of the technical scheme is as follows: after the re-signing prompt, the system can acquire the electronic signature data qualified by the user for the first time in real time, so as to ensure that the latest signature information is acquired; and extracting gray values of pixel blocks with gray values not lower than the gray value threshold of the electronic signature from the first qualified electronic signature data after the re-signature prompt. The gray values of these pixel blocks are signature data of sufficiently high quality; and setting a gray threshold adjustment compensation parameter by using the gray value of the extracted high-quality signature data. The parameter is used for adjusting the gray value threshold of the electronic signature according to the actual signature condition; and adjusting the gray value threshold of the electronic signature according to the gray value adjustment compensation parameter. The adjusted electronic signature gray value threshold value is more suitable for the signature habit and equipment characteristics of the user; the system can automatically adjust the gray value threshold of the electronic signature according to the actual signature condition of the user so as to adapt to the signature habits and equipment characteristics of different users. This helps to improve the accuracy and reliability of the signature data and further optimizes the user experience and application effectiveness of the electronic signature system.
The technical scheme has the effects that: after collecting the first qualified electronic signature data of the user after re-signing, and extracting the high-quality pixel block gray value, the system can adjust the threshold value of the electronic signature gray value according to the signature characteristics and habits of the individual user. Thus, the method can be better suitable for signature styles and equipment environments of different users; by adjusting the electronic signature gray value threshold, the system can filter out low-quality pixel block gray values and retain high-quality signature data. The method is beneficial to improving the accuracy and the credibility of the signature data and reducing the influence of noise and interference on the signature result; by automatically adjusting the gray value threshold of the electronic signature, the system can better adapt to signature habits and equipment characteristics of different users. Therefore, the convenience and the efficiency of a user when using the electronic signature system can be improved, and the consistency and the readability of a signature result are enhanced; the gray value threshold of the electronic signature is adjusted, so that risks of malicious tampering and counterfeiting of the signature can be effectively restrained. By extracting high-quality signature data, the system can enhance the detection and prevention capability of counterfeit signatures and improve the security of signatures. Meanwhile, the accuracy of threshold adjustment and the following performance of the user signature habit change can be effectively improved by carrying out the gray threshold adjustment.
Example 6
In this embodiment, an electronic signature data quality detection system includes:
and a data acquisition module: collecting three times of pre-electronic signature data of a user;
a threshold setting module: setting an electronic signature gray value threshold according to the electronic signature data;
the quality detection module is as follows: collecting electronic signature data uploaded by a subsequent user in real time, detecting the quality of the electronic signature data by utilizing the electronic signature gray value threshold value, and carrying out re-signature prompt on the electronic signature data with unqualified quality detection;
a threshold adjustment module: and extracting the electronic signature condition of the user, and adjusting the gray value threshold of the electronic signature according to the electronic signature condition.
The working principle of the technical scheme is as follows: the user needs to perform three acquisitions of pre-electronic signature data before starting to use the electronic signature system. The acquired data are used as a reference for subsequent quality detection and the basis for adjusting the threshold value; based on the collected pre-electronic signature data, the system automatically calculates a gray value threshold, which can be used as a standard for judging the quality of the electronic signature data. The gray value refers to the brightness degree of the pixel color in the signature, and the definition and quality of the signature can be judged by setting a proper threshold value; when a user uploads new electronic signature data, the system will collect the data in real time and compare it to the gray value threshold. If the gray value of the electronic signature data is lower than the threshold value, namely the quality is unqualified, the system sends out a re-signature prompt to require the user to re-perform the signature operation; the system will extract the user's electronic signature, including the number of quality passes and fails, etc. According to the signature conditions and experience rules, the system can automatically adjust the gray value threshold value to adapt to different user signature habits and requirements.
The technical scheme has the effects that: by collecting the pre-electronic signature data of the user and setting the gray value threshold according to the pre-electronic signature data, the quality of the electronic signature can be improved. Only the electronic signature data meeting the preset standard can be approved and used, so that misjudgment or dispute caused by the problem of signature quality is avoided; the electronic signature data uploaded by the user are collected in real time, and quality detection is carried out on the electronic signature data by utilizing a set gray value threshold. When unqualified electronic signature data is detected, the system sends out a re-signature prompt in time to guide a user to correct, so that the accuracy and reliability of the signature data are ensured; according to the electronic signature condition of the user, the system can extract relevant indexes and perform statistical analysis. Based on these data, the system can automatically adjust the gray value threshold. Thus, the method can better adapt to different user signature habits and requirements, and improves the intellectualization and adaptability of the system; the scheme can ensure that the quality of the electronic signature data reaches a certain standard, and meets legal and safety requirements. The effective electronic signature data quality detection can improve legal effectiveness and confidentiality of the electronic contract and protect rights and interests of users and information security.
Example 7
In this embodiment, the data acquisition module includes:
an interface providing module: providing a pre-signature interface for a user;
and an interface display module: displaying the three pre-signature prompts through a pre-signature interface;
signature data acquisition module: and collecting the three times of pre-electronic signature data of the user.
The working principle of the technical scheme is as follows: the system provides a pre-signature interface for the user, and the interface can display pre-signed prompt information; on the pre-signature interface, the system displays three pre-signed prompts. These hints may be guidelines regarding the quality of the signature, such as gestures to remain stable, use of 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 technical scheme has the effects that: by providing the user with a pre-signature interface and presenting pre-signature prompts, the user may be guided and prompted prior to signing. This helps the user to note the accuracy and quality of the signature, thereby improving the quality level of the signature; by collecting the user's three pre-electronic signature data, the system can compare and analyze the data to identify potentially erroneous or non-canonical signature behavior. Thus, the user can be helped to find and correct errors in time, and the occurrence rate of signature errors is reduced; by providing a pre-signature interface to the user and presenting pre-signature prompts, the user is able to more fully understand the signature requirements and criteria. The user can adjust and improve the signature of the user, and the satisfaction degree and the confidence are improved; the collected pre-electronic signature data of the user can be used as a reference basis for detecting the quality of the subsequent electronic signature data and adjusting the threshold value. The system can analyze and compare according to the data, and provides more accurate judgment and guidance for the subsequent signature process.
Example 8
In this embodiment, the threshold setting module includes:
a first gray value generation module: extracting a pixel block corresponding to an electronic signature part in the first electronic signature data, and generating a first pixel block gray value set;
a first gray value traversal module: traversing the pixel block gray values in the first pixel block gray value set, and acquiring a first gray threshold adjustment factor by using the pixel block gray values in the first pixel block gray value set;
the second gray value generation module: extracting a pixel block corresponding to the electronic signature part in the second secondary electron signature data, and generating a second pixel block gray value set;
the second gray value traversing module: traversing the pixel block gray values in the second pixel block gray value set, and acquiring a second gray threshold adjustment factor by using the pixel block gray values in the second pixel block gray value set;
a third gray value generation module: extracting a pixel block corresponding to the electronic signature part in the third electronic signature data, and generating a third pixel block gray value set;
and a third gray value traversing module: traversing the pixel block gray values in the first pixel block gray value set, and acquiring a third gray threshold adjustment factor by using the pixel block gray values in the third pixel block gray value set;
And (3) an integration module: and integrating the first gray threshold adjustment factor, the second gray threshold adjustment factor and the third gray threshold adjustment factor to generate an electronic signature gray value threshold.
The working principle of the technical scheme is as follows: extracting a pixel block corresponding to an electronic signature part in the first electronic signature data, and generating a first pixel block gray value set; traversing the pixel block gray values in the first pixel block gray value set, and acquiring a first gray threshold adjustment factor by using the pixel block gray values in the first pixel block gray value set; extracting a pixel block corresponding to the electronic signature part in the second secondary electron signature data, and generating a second pixel block gray value set; traversing the pixel block gray values in the second pixel block gray value set, and acquiring a second gray threshold adjustment factor by using the pixel block gray values in the second pixel block gray value set; extracting a pixel block corresponding to the electronic signature part in the third electronic signature data, and generating a third pixel block gray value set; traversing the pixel block gray values in the first pixel block gray value set, and acquiring a third gray threshold adjustment factor by using the pixel block gray values in the third pixel block gray value set; and integrating the first gray threshold adjustment factor, the second gray threshold adjustment factor and the third gray threshold adjustment factor to generate an electronic signature gray value threshold.
The technical scheme has the effects that: the method can flexibly adapt to signature styles and equipment environments of different users by extracting pixel block gray value sets of multiple times of electronic signature data and calculating corresponding gray threshold adjustment factors according to each group of pixel block gray value sets. This will help to improve the accuracy and reliability of the signature data; by traversing the pixel block gray value set and utilizing the corresponding gray threshold adjustment factor, the gray value threshold of the electronic signature can be more accurately determined. This will help to reduce errors and noise, improving the accuracy and consistency of the electronic signature; the electronic signature gray value threshold value is generated by integrating different gray value threshold value adjusting factors, so that the security of the electronic signature can be enhanced. This will make the signature data more difficult to tamper with or forge, improving the anti-counterfeit capability of the signature.
Example 9
In this embodiment, the quality detection module includes:
and the data acquisition updating module: collecting electronic signature data uploaded by a subsequent user in real time;
gray value extraction module: extracting a corresponding gray value of a pixel block of an electronic signature part in the electronic signature data;
a pixel block counting module: comparing the gray value with the electronic signature gray value threshold value, and counting pixel blocks with gray values lower than the electronic signature gray value threshold value;
And a data compliance judging module: when the number of pixel blocks with gray values lower than the gray value threshold of the electronic signature exceeds a preset number threshold, judging that the current electronic signature data is unqualified;
signature prompting module: and when the electronic signature data of the current user is judged to be unqualified, performing re-signature prompt.
The working principle of the technical scheme is as follows: collecting electronic signature data uploaded by a subsequent user in real time; extracting a corresponding gray value of a pixel block of an electronic signature part in the electronic signature data; comparing the gray value with the electronic signature gray value threshold value, and counting pixel blocks with gray values lower than the electronic signature gray value threshold value; when the number of pixel blocks with gray values lower than the gray value threshold of the electronic signature exceeds a preset number threshold, judging that the current electronic signature data is unqualified; and when the electronic signature data of the current user is judged to be unqualified, performing re-signature prompt.
The technical scheme has the effects that: the quality detection of the electronic signature data can be performed through real-time acquisition and gray value comparison. This helps to exclude low quality signature data, ensuring that only high quality signature data is used and archived; quality detection can exclude blurred, unclear, or too light signature data, which may be invalid or counterfeit. By re-signing the signature data, the user can get opportunities to correct and improve so as to obtain more accurate and powerful signature results; the process of quality detection and re-signing hints may reduce errors and imperfections present in the signature data. This helps to avoid disputes, disputes or legal problems due to signature data quality problems, reducing associated risks; through the re-signature prompt, the user can timely know the disqualification condition of the signature data and has the opportunity to modify and perfect. The feedback mechanism is beneficial to improving the user experience and increasing the satisfaction degree of the user on the signature system and the service.
Example 10
In this embodiment, the threshold adjustment module includes:
qualified data acquisition module: after the re-signing prompt, collecting the first qualified electronic signature data after the re-signing prompt of the user;
gray value judging module: extracting all gray values of the pixel blocks of which the gray values of the first qualified electronic signature data after the re-signature prompt are not lower than the gray value threshold of the electronic signature;
and (3) adjusting a supplementing module: setting gray threshold adjustment compensation parameters by using gray values of pixel blocks, of which all gray values of the first qualified electronic signature data after the re-signature prompt are not lower than the gray value threshold of the electronic signature;
gray value threshold adjustment module: and adjusting the gray value threshold of the electronic signature by using the gray value adjustment compensation parameter to obtain the adjusted gray value threshold of the electronic signature.
The working principle of the technical scheme is as follows: after the re-signing prompt, the system can acquire the electronic signature data qualified by the user for the first time in real time, so as to ensure that the latest signature information is acquired; and extracting gray values of pixel blocks with gray values not lower than the gray value threshold of the electronic signature from the first qualified electronic signature data after the re-signature prompt. The gray values of these pixel blocks are signature data of sufficiently high quality; and setting a gray threshold adjustment compensation parameter by using the gray value of the extracted high-quality signature data. The parameter is used for adjusting the gray value threshold of the electronic signature according to the actual signature condition; and adjusting the gray value threshold of the electronic signature according to the gray value adjustment compensation parameter. The adjusted electronic signature gray value threshold value is more suitable for the signature habit and equipment characteristics of the user; the system can automatically adjust the gray value threshold of the electronic signature according to the actual signature condition of the user so as to adapt to the signature habits and equipment characteristics of different users. This helps to improve the accuracy and reliability of the signature data and further optimizes the user experience and application effectiveness of the electronic signature system.
The technical scheme has the effects that: after collecting the first qualified electronic signature data of the user after re-signing, and extracting the high-quality pixel block gray value, the system can adjust the threshold value of the electronic signature gray value according to the signature characteristics and habits of the individual user. Thus, the method can be better suitable for signature styles and equipment environments of different users; by adjusting the electronic signature gray value threshold, the system can filter out low-quality pixel block gray values and retain high-quality signature data. The method is beneficial to improving the accuracy and the credibility of the signature data and reducing the influence of noise and interference on the signature result; by automatically adjusting the gray value threshold of the electronic signature, the system can better adapt to signature habits and equipment characteristics of different users. Therefore, the convenience and the efficiency of a user when using the electronic signature system can be improved, and the consistency and the readability of a signature result are enhanced; the gray value threshold of the electronic signature is adjusted, so that risks of malicious tampering and counterfeiting of the signature can be effectively restrained. By extracting high-quality signature data, the system can enhance the detection and prevention capability of counterfeit signatures and improve the security of signatures.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (8)
1. The electronic signature data quality detection method is characterized by comprising the following steps of:
collecting three times of pre-electronic signature data of a user;
setting an electronic signature gray value threshold according to the electronic signature data;
wherein, the setting the electronic signature gray value threshold according to the electronic signature data includes:
extracting a pixel block corresponding to an electronic signature part in the first electronic signature data, and generating a first pixel block gray value set;
traversing the pixel block gray values in the first pixel block gray value set, and acquiring a first gray threshold adjustment factor by using the pixel block gray values in the first pixel block gray value set;
extracting a pixel block corresponding to the electronic signature part in the second secondary electron signature data, and generating a second pixel block gray value set;
traversing the pixel block gray values in the second pixel block gray value set, and acquiring a second gray threshold adjustment factor by using the pixel block gray values in the second pixel block gray value set;
Extracting a pixel block corresponding to the electronic signature part in the third electronic signature data, and generating a third pixel block gray value set;
traversing the pixel block gray values in the first pixel block gray value set, and acquiring a third gray threshold adjustment factor by using the pixel block gray values in the third pixel block gray value set;
integrating the first gray threshold adjustment factor, the second gray threshold adjustment factor and the third gray threshold adjustment factor to generate an electronic signature gray value threshold;
the first gray threshold adjustment factor, the second gray threshold adjustment factor and the third gray threshold adjustment factor are obtained through the following formula:
wherein,Y 01 representing a first gray threshold adjustment factor;T min1 andT max1 representing a gray minimum value and a gray maximum value in a pixel block corresponding to an electronic signature part in the first electronic signature data;T b gray values of pixel blocks representing a background interface of the electronic signature;m 1 representing the total number of pixel blocks corresponding to the electronic signature part in the first electronic signature data;nrepresenting the total number of all pixel blocks contained in the interface for electronic signature;sqrtrepresenting root number operation;λ 1 representing a first reference factor;
wherein, Y 02 Representing a second gray level threshold adjustment factor;T min2 andT max2 representing a gray minimum value and a gray maximum value in a pixel block corresponding to the electronic signature part in the second secondary electron signature data;T b gray values of pixel blocks representing a background interface of the electronic signature;m 2 representing the total number of pixel blocks corresponding to the electronic signature part in the second secondary electronic signature data;nrepresenting the total number of all pixel blocks contained in the interface for electronic signature;sqrtrepresenting root number operation;λ 2 representing a second referenceA factor;X 01 representing a first relative factor;
wherein,Y 03 representing a third gray threshold adjustment factor;T min3 andT max3 representing a gray minimum value and a gray maximum value in a pixel block corresponding to the electronic signature part in the third electronic signature data;T b gray values of pixel blocks representing a background interface of the electronic signature;m 3 representing the total number of pixel blocks corresponding to the electronic signature part in the third electronic signature data;nrepresenting the total number of all pixel blocks contained in the interface for electronic signature;sqrtrepresenting root number operation;λ 3 representing a third reference factor;X 02 representing a second relative factor;X 03 representing a third relative factor;
meanwhile, the electronic signature gray value threshold is obtained through the following formula:
Wherein,T u representing an electronic signature gray value threshold;σ B 2 （T) Representing the intra-class variance below a threshold T; argmax T Indicating that finding the function to the maximum valueT A value; argmax T σ B 2 （T) Indicating that a threshold is to be foundTTo function the intra-class varianceσ B 2 （T) Reaching a maximum value;
collecting electronic signature data uploaded by a subsequent user in real time, detecting the quality of the electronic signature data by utilizing the electronic signature gray value threshold value, and carrying out re-signature prompt on the electronic signature data with unqualified quality detection;
and extracting the electronic signature condition of the user, and adjusting the gray value threshold of the electronic signature according to the electronic signature condition.
2. The method for detecting the quality of electronic signature data according to claim 1, wherein collecting the third electronic signature data of the user comprises:
providing a pre-signature interface for a user;
displaying the three pre-signature prompts through a pre-signature interface;
and collecting the three times of pre-electronic signature data of the user.
3. The method for detecting the quality of electronic signature data according to claim 1, wherein collecting electronic signature data uploaded by a subsequent user in real time, detecting the quality of the electronic signature data by using the electronic signature gray value threshold, and performing re-signature prompting on electronic signature data with unqualified quality detection comprises:
Collecting electronic signature data uploaded by a subsequent user in real time;
extracting a corresponding gray value of a pixel block of an electronic signature part in the electronic signature data;
comparing the gray value with the electronic signature gray value threshold value, and counting pixel blocks with gray values lower than the electronic signature gray value threshold value;
when the number of pixel blocks with gray values lower than the gray value threshold of the electronic signature exceeds a preset number threshold, judging that the current electronic signature data is unqualified;
and when the electronic signature data of the current user is judged to be unqualified, performing re-signature prompt.
4. The method for detecting the quality of electronic signature data according to claim 1, wherein extracting the electronic signature condition of the user, and adjusting the gray value threshold of the electronic signature according to the electronic signature condition, comprises:
after the re-signing prompt, collecting the first qualified electronic signature data after the re-signing prompt of the user;
extracting all gray values of the pixel blocks of which the gray values of the first qualified electronic signature data after the re-signature prompt are not lower than the gray value threshold of the electronic signature;
setting gray threshold adjustment compensation parameters by using gray values of pixel blocks, of which all gray values of the first qualified electronic signature data after the re-signature prompt are not lower than the gray value threshold of the electronic signature;
And adjusting the gray value threshold of the electronic signature by using the gray value adjustment compensation parameter to obtain the adjusted gray value threshold of the electronic signature.
5. An electronic signature data quality detection system, characterized in that the electronic signature data quality detection system comprises:
and a data acquisition module: collecting three times of pre-electronic signature data of a user;
a threshold setting module: setting an electronic signature gray value threshold according to the electronic signature data;
the threshold setting module includes:
a first gray value generation module: extracting a pixel block corresponding to an electronic signature part in the first electronic signature data, and generating a first pixel block gray value set;
a first gray value traversal module: traversing the pixel block gray values in the first pixel block gray value set, and acquiring a first gray threshold adjustment factor by using the pixel block gray values in the first pixel block gray value set;
the second gray value generation module: extracting a pixel block corresponding to the electronic signature part in the second secondary electron signature data, and generating a second pixel block gray value set;
the second gray value traversing module: traversing the pixel block gray values in the second pixel block gray value set, and acquiring a second gray threshold adjustment factor by using the pixel block gray values in the second pixel block gray value set;
A third gray value generation module: extracting a pixel block corresponding to the electronic signature part in the third electronic signature data, and generating a third pixel block gray value set;
and a third gray value traversing module: traversing the pixel block gray values in the first pixel block gray value set, and acquiring a third gray threshold adjustment factor by using the pixel block gray values in the third pixel block gray value set;
and (3) an integration module: integrating the first gray threshold adjustment factor, the second gray threshold adjustment factor and the third gray threshold adjustment factor to generate an electronic signature gray value threshold;
the first gray threshold adjustment factor, the second gray threshold adjustment factor and the third gray threshold adjustment factor are obtained through the following formula:
wherein,Y 01 representing a first gray threshold adjustment factor;T min1 andT max1 representing a gray minimum value and a gray maximum value in a pixel block corresponding to an electronic signature part in the first electronic signature data;T b gray values of pixel blocks representing a background interface of the electronic signature;m 1 representing the total number of pixel blocks corresponding to the electronic signature part in the first electronic signature data;nrepresenting the total number of all pixel blocks contained in the interface for electronic signature; sqrtRepresenting root number operation;λ 1 representing a first reference factor;
wherein,Y 02 representing a second gray level threshold adjustment factor;T min2 andT max2 representing a gray minimum value and a gray maximum value in a pixel block corresponding to the electronic signature part in the second secondary electron signature data;T b image representing background interface of electronic signatureGray values of the pixel blocks;m 2 representing the total number of pixel blocks corresponding to the electronic signature part in the second secondary electronic signature data;nrepresenting the total number of all pixel blocks contained in the interface for electronic signature;sqrtrepresenting root number operation;λ 2 representing a second reference factor;X 01 representing a first relative factor;
wherein,Y 03 representing a third gray threshold adjustment factor;T min3 andT max3 representing a gray minimum value and a gray maximum value in a pixel block corresponding to the electronic signature part in the third electronic signature data;T b gray values of pixel blocks representing a background interface of the electronic signature;m 3 representing the total number of pixel blocks corresponding to the electronic signature part in the third electronic signature data;nrepresenting the total number of all pixel blocks contained in the interface for electronic signature;sqrtrepresenting root number operation;λ 3 representing a third reference factor;X 02 representing a second relative factor;X 03 representing a third relative factor;
Meanwhile, the electronic signature gray value threshold is obtained through the following formula:
wherein,T u representing an electronic signature gray value threshold;σ B 2 （T) Representing the intra-class variance below a threshold T; argmax T Indicating that finding the function to the maximum valueT A value; argmax T σ B 2 （T) Indicating that a threshold is to be foundTTo function the intra-class varianceσ B 2 （T) Reaching the maximum value；
The quality detection module is as follows: collecting electronic signature data uploaded by a subsequent user in real time, detecting the quality of the electronic signature data by utilizing the electronic signature gray value threshold value, and carrying out re-signature prompt on the electronic signature data with unqualified quality detection;
a threshold adjustment module: and extracting the electronic signature condition of the user, and adjusting the gray value threshold of the electronic signature according to the electronic signature condition.
6. The electronic signature data quality detection system of claim 5, wherein the data acquisition module comprises:
an interface providing module: providing a pre-signature interface for a user;
and an interface display module: displaying the three pre-signature prompts through a pre-signature interface;
signature data acquisition module: and collecting the three times of pre-electronic signature data of the user.
7. The electronic signature data quality detection system of claim 5, wherein the quality detection module comprises:
And the data acquisition updating module: collecting electronic signature data uploaded by a subsequent user in real time;
gray value extraction module: extracting a corresponding gray value of a pixel block of an electronic signature part in the electronic signature data;
a pixel block counting module: comparing the gray value with the electronic signature gray value threshold value, and counting pixel blocks with gray values lower than the electronic signature gray value threshold value;
and a data compliance judging module: when the number of pixel blocks with gray values lower than the gray value threshold of the electronic signature exceeds a preset number threshold, judging that the current electronic signature data is unqualified;
signature prompting module: and when the electronic signature data of the current user is judged to be unqualified, performing re-signature prompt.
8. The electronic signature data quality detection system of claim 5, wherein the threshold adjustment module comprises:
qualified data acquisition module: after the re-signing prompt, collecting the first qualified electronic signature data after the re-signing prompt of the user;
gray value judging module: extracting all gray values of the pixel blocks of which the gray values of the first qualified electronic signature data after the re-signature prompt are not lower than the gray value threshold of the electronic signature;
And (3) adjusting a supplementing module: setting gray threshold adjustment compensation parameters by using gray values of pixel blocks, of which all gray values of the first qualified electronic signature data after the re-signature prompt are not lower than the gray value threshold of the electronic signature;
gray value threshold adjustment module: and adjusting the gray value threshold of the electronic signature by using the gray value adjustment compensation parameter to obtain the adjusted gray value threshold of the electronic signature.
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