An electromagnetic signature method capable of protecting user handwriting characteristics

Abstract

The present invention relates to an electromagnetic signature method capable of protecting the handwriting characteristics of a user, comprising: S1, capturing the handwriting dimension information when the user signs, generating original trajectory data, and then sending the original trajectory data to an encryption chip; S2, the encryption chip encrypts the original trajectory data, generates trajectory ciphertext, and stores the trajectory ciphertext in a paperless system. When signature comparison is required, the trajectory ciphertext is decrypted to obtain the original trajectory data, the writing process of the signer is restored, and the user identity is compared by identifying the trajectory characteristics of the signer; S3, the encryption chip encrypts the original trajectory data, processes the output characteristics of the handwriting, strips off the biometric information, and forms featureless signature data, which generates a signature on the screen that is consistent with the original signature style but does not contain biometric characteristics. The present invention effectively prevents the copying, imitation and data tampering of handwriting characteristics, and significantly improves the security level of electronic signatures and the non-replicability of authenticity.

Description

Technical Field

[0001] The present invention relates to the technical field of handwriting protection, and in particular to an electromagnetic signature method capable of protecting user handwriting characteristics. Background Art

[0002] With the popularization of electronic office, electromagnetic handwriting tablets or terminals have been widely used in signature scenarios due to their high sensitivity and close to real paper and pen writing experience. Electromagnetic handwriting tablets can accurately capture the handwriting characteristics of users through electromagnetic induction technology, realize the electronic and digital signature, and greatly improve office efficiency and convenience.

[0003] Most existing electromagnetic handwriting signature systems focus on the simple collection and display of signatures, and lack an effective mechanism for deep encryption and security protection of handwriting features, making signature data vulnerable to imitation and fraud, thus causing a series of security issues.

[0004] Therefore, there is an urgent need to provide an electromagnetic signature method that can protect the user's handwriting characteristics to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to overcome the shortcomings and defects of the prior art and provide an electromagnetic signature method capable of protecting the user's handwriting characteristics. By using data encryption and biometric stripping technology, the biometric information in the electromagnetic signature is stripped to ensure the security of the electronic signature.

[0006] The objective of the present invention is achieved through the following technical solutions:

[0007] An electromagnetic signature method capable of protecting the user's handwriting characteristics comprises the following steps:

[0008] S1, capturing the handwriting dimension information of the user when signing, generating original trajectory data, and then sending the original trajectory data to the encryption chip;

[0009] S2. The encryption chip encrypts the original trajectory data to generate trajectory ciphertext, which is stored in the paperless system. When signature comparison is required, the trajectory ciphertext is decrypted to obtain the original trajectory data, the writing process of the signer is restored, and the user identity is compared by identifying the trajectory characteristics of the signer;

[0010] S3. The encryption chip encrypts the original trajectory data, processes the output features of the handwriting, removes the biometric information, and forms featureless signature data. The featureless signature data generates a signature on the screen that is consistent with the original signature style but does not contain biometric features.

[0011] As a preferred technical solution of the present invention, the biometric information stripping in step S3 specifically eliminates the information related to the signer's personal biometrics in the original trajectory data, and the personal biometrics-related information includes writing style, writing speed, pressure changes, pauses and stagnation, and is specifically carried out through the following steps: Data preprocessing: removing noise and outliers from the original trajectory data;

[0012] Feature extraction: Analyze which features in the raw trajectory data belong to biometric features;

[0013] Feature fuzzification: Fuzzify the proposed biometric features;

[0014] Data aggregation: merge similar points into one point after fuzzification.

[0015] As a preferred technical solution of the present invention, the step S1 is specifically that the handwriting dimensional information is converted from a physical signal to a digital signal through signal processing technology to generate original trajectory information, and the handwriting dimensional information includes handwriting trajectory, pressure change, and speed fluctuation.

[0016] As a preferred technical solution of the present invention, in the step S1, the handwriting dimension information of the user's signature is captured by an electromagnetic induction handwriting tablet and an electromagnetic pen.

[0017] As a preferred technical solution of the present invention, in step S2, a symmetric encryption algorithm or an asymmetric encryption algorithm is used to encrypt the original trajectory data.

[0018] As a preferred technical solution of the present invention, in step 2, user identity comparison is performed by identifying the trajectory characteristics of the signer, and the trajectory characteristics include speed change, pressure distribution, acceleration and direction, stroke order, connected strokes and broken strokes, and starting and ending strokes.

[0019] Compared with the prior art, the present invention has the following beneficial effects:

[0020] The present invention significantly enhances security and user experience through high-precision electromagnetic screen, signal processing, data encryption and biometric stripping technology. Not only can it accurately capture the multi-dimensional information of the signature, but also effectively prevent the copying, imitation and data tampering of handwriting features through data encryption and biometric stripping technology, significantly improving the security level of electronic signatures and the authenticity of the non-replicability. At the same time, the realism of electromagnetic handwriting is maintained, the efficiency and convenience of the signing process are guaranteed, and the user experience is improved. The protection of user handwriting data is strengthened, and even if the data is leaked, it cannot be used for paperless identification. It meets the requirements of personal information protection regulations and is widely applicable to high-security authentication scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 The present invention is a flow chart of the method.

[0022] Figure 2 It is a schematic diagram of the structure of the present invention.

[0023] Figure 3 It is a schematic diagram of an embodiment of the present invention. DETAILED DESCRIPTION

[0024] The present invention is further described in detail below in conjunction with embodiments and drawings, but the embodiments of the present invention are not limited thereto.

[0025] The specific implementation process of the present invention is as follows:

[0026] like Figures 1 to 3 As shown, an electromagnetic signature method capable of protecting the user's handwriting characteristics comprises the following steps:

[0027] S1. Capture the handwriting dimension information when the user signs, generate original trajectory data, and then send the original trajectory data to the encryption chip. Specifically, through a high-precision electromagnetic induction handwriting tablet and an electromagnetic pen, electromagnetic induction technology is used to accurately obtain the handwriting trajectory, pressure changes, speed fluctuations and other dimensional information when the user signs. The handwriting trajectory includes the position and direction of each stroke. Through signal processing technology, the physical signal captured by the electromagnetic induction handwriting tablet is converted into a digital signal to generate original trajectory data including pressure sensitivity, coordinates and other information. Then pass the original trajectory data to the encryption chip to ensure that the data is not tampered with during transmission.

[0028] S2. The encryption chip encrypts the original trajectory data to generate trajectory ciphertext, and saves the trajectory ciphertext in the paperless system. When signature comparison is required, the trajectory ciphertext is decrypted to obtain the original trajectory data, and the writing process of the signer is restored one-to-one. The user identity is compared by identifying the trajectory characteristics of the signer. Specifically, after receiving the original trajectory data, the encryption chip uses an encryption algorithm to encrypt the original trajectory data. The encryption algorithm can use an international or national secret algorithm, such as a symmetric encryption algorithm or an asymmetric encryption algorithm. After encryption, it is saved in the paperless system. When signature comparison is required, the trajectory ciphertext is decrypted to obtain the original trajectory data. By identifying the trajectory characteristics of the signer, the user identity is compared based on key trajectory characteristics such as speed change, pressure distribution, acceleration and direction, stroke order, continuous and broken strokes, and starting and ending strokes. Specifically, the writing rhythm and habits of the signer are identified by speed changes such as speeding up, slowing down or suddenly pausing the pen during the signing process; the pressure changes during writing recorded by the electromagnetic board are used to identify the degree of force the signer uses on different strokes, and to derive personal writing style characteristics; the acceleration changes during signing, such as the acceleration when starting and ending the pen, and the overall directionality of the strokes, such as the curvature of the curve, the inclination of the straight line, etc.; the different stroke orders, when different people write the same signature, their stroke order habits are different; the way of connecting and disconnecting strokes in the signature, such as the connection between letters or Chinese character strokes, the disconnection of strokes, and the fluency of connecting strokes; the starting and ending methods of each stroke, such as dots, pauses, and lifts; and by combining these trajectory features, a high-precision comparison of the signer's identity can be achieved.

[0029] S3. The encryption chip encrypts the original trajectory data, processes the output features of the handwriting, removes the biometric information, and forms featureless signature data. The featureless signature data generates a signature on the screen that is consistent with the original signature style but does not contain biometric features.

[0030] In an embodiment of the present invention, stripping biometric information specifically includes eliminating information related to the signer's personal biometrics in the original trajectory data, where the information related to the personal biometrics includes writing style, writing speed, pressure changes, pauses and stagnations, specifically by the following steps:

[0031] Data preprocessing: remove noise and outliers from the original trajectory data;

[0032] Feature extraction: Analyze which features in the raw trajectory data belong to biometric features;

[0033] Feature fuzzification: Fuzzify the proposed biometric features to make them vague or no longer unique to the individual;

[0034] Data aggregation: Merge similar points after fuzzification into one point to reduce the amount of data and generate a more regular trajectory.

[0035] Specifically, refer to Figure 3 When using an electromagnetic screen to sign, each interaction between the electromagnetic pen and the screen will accurately record multiple data points. These data points mark the physical trajectory of the signature and reflect the movement of the signer along the same trajectory direction in the same time period. The biometric stripping algorithm identifies and aggregates points that are closely adjacent in physical position, merges them into a more representative point, removes information related to the signer's personal biometrics, such as slight hand tremors, speed changes, etc., so that the irregular data in the original trajectory data forms regular and concise featureless signature data. The featureless signature data generates a signature on the screen that is consistent with the original signature. Even if these featureless signature data are exposed to other external systems through other means, they cannot be used for paperless handwriting identification because they have been processed by the biometric stripping algorithm and the personal writing biometrics have been stripped, which strengthens the protection of the user's real handwriting data and ensures the security of user privacy and signature authenticity. It is widely used in high-security scenarios such as finance, contracts, and medical authorization.

[0036] The present invention uses electromagnetic induction technology to capture handwriting information, and combines encryption technology to protect the electronic signature method of the user's handwriting characteristics, and then uses a biometric stripping algorithm to strip the biometric features in the electronic signature, effectively preventing the handwriting features from being copied or imitated, thereby improving the authenticity and security of the electronic signature, and is suitable for mobile devices and paperless office environments.

[0037] The above-mentioned embodiments only express the implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be based on the attached claims.

Claims

1. An electromagnetic signature method capable of protecting the user's handwriting characteristics, characterized in that: The following steps are involved: S1, capturing the handwriting dimension information of the user when signing, generating original trajectory data, and then sending the original trajectory data to the encryption chip; S2. The encryption chip encrypts the original trajectory data to generate trajectory ciphertext, which is stored in the paperless system. When signature comparison is required, the trajectory ciphertext is decrypted to obtain the original trajectory data, the writing process of the signer is restored, and the user identity is compared by identifying the trajectory characteristics of the signer; S3, the encryption chip encrypts the original trajectory data, processes the output features of the handwriting, removes the biometric information, and forms featureless signature data. The featureless signature data generates a signature on the screen that is consistent with the original signature style but does not contain biometric features; The biometric information stripping in step S3 specifically includes eliminating the information related to the signer's personal biometrics in the original trajectory data, and the personal biometrics-related information includes writing style, writing speed, pressure changes, pauses and stagnation, and is specifically carried out through the following steps: Data preprocessing: remove noise and outliers from the original trajectory data; Feature extraction: Analyze which features in the raw trajectory data belong to biometric features; Feature fuzzification: Fuzzify the proposed biometric features; Data aggregation: merge similar points into one point after fuzzification.

2. The electromagnetic signature method for protecting the user's handwriting characteristics according to claim 1 is characterized in that: Specifically, the step S1 is that the handwriting dimension information is converted from a physical signal to a digital signal through signal processing technology to generate original trajectory information, and the handwriting dimension information includes handwriting trajectory, pressure change, and speed fluctuation.

3. The electromagnetic signature method for protecting the user's handwriting characteristics according to claim 1 is characterized in that: In the step S1, the handwriting dimension information of the user's signature is captured by an electromagnetic induction handwriting tablet and an electromagnetic pen.

4. The electromagnetic signature method for protecting the user's handwriting characteristics according to claim 1 is characterized in that: In step S2, a symmetric encryption algorithm or an asymmetric encryption algorithm is used to encrypt the original trajectory data.

5. The electromagnetic signature method for protecting the user's handwriting characteristics according to claim 1 is characterized in that: In step 2, user identity comparison is performed by identifying the trajectory characteristics of the signer, and the trajectory characteristics include speed change, pressure distribution, acceleration and direction, stroke sequence, connected and broken strokes, and starting and ending strokes.

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