Information authentication method and system
By detecting spectral patterns using a quantum dot spectrometer, the problems of information storage and identification separation are solved, achieving high-security and high-capacity information storage and identification, and avoiding the need to design additional information security components.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- TSINGHUA UNIVERSITY
- Filing Date
- 2023-06-13
- Publication Date
- 2026-05-29
AI Technical Summary
In existing technologies, information storage and authentication are usually separated. Anti-counterfeiting labels are easy to forge, passwords are easy to crack, and mechanical hard drives and SSDs are difficult to handle massive information storage, resulting in prominent security issues.
A quantum dot spectrometer is used to detect spectral patterns, and the authenticity of the spectral patterns is determined by similarity. The physical properties of the spectrometer itself make it difficult to forge, thus achieving a combination of information identification and storage.
It achieves high-security information identification and improves information storage capacity, avoiding the need for additional information security components. It combines two functions and has large capacity and high security.
Smart Images
Figure CN116738248B_ABST
Abstract
Description
Technical Field
[0001] This disclosure relates to the field of information identification technology, and in particular to an information identification method and system. Background Technology
[0002] With the explosive growth of information, information storage and authentication have become increasingly important issues. However, in related technologies, information storage and authentication are usually separated. To authenticate the authenticity of information, it is necessary to attach anti-counterfeiting labels or encrypt it with passwords in advance, and then use the anti-counterfeiting labels or passwords for authentication. On the one hand, anti-counterfeiting labels are easy to forge and passwords are easy to crack, causing security problems. On the other hand, information is usually stored using mechanical hard drives, SSDs, etc., which are increasingly unable to cope with the storage of massive amounts of information. Summary of the Invention
[0003] According to one aspect of this disclosure, an information identification method is provided, the method being applied to a receiving spectrometer, the method comprising:
[0004] A first spectral pattern is detected to obtain a first detection signal, wherein the first spectral pattern includes multiple regions;
[0005] If the first similarity between the first detected signal and the preset signal is within a preset range, or the difference between the similarity threshold and the first similarity is less than a first preset value, then it is determined that the first spectral pattern is the same as the target spectral pattern.
[0006] The preset signal is obtained by the transmitting spectrometer detecting the target spectral pattern, and the similarity between the signals obtained by the transmitting spectrometer and the receiving spectrometer for any and the same spectral pattern is within a preset range.
[0007] Furthermore, the detection signal obtained by any fabricated non-emitter or non-receiver spectrometer from the first spectral pattern will not be judged as a true value, or the probability of being judged as a true value is less than p, where p is less than 10. -60 .
[0008] In one possible implementation, if the first similarity between the first detection signal and the preset signal is not within a preset range, or if the difference between the similarity threshold and the first similarity is greater than the first preset value, then it is determined that the first spectral pattern is not the same as the target spectral pattern.
[0009] In one possible implementation, the preset range is between 1 and a, where a is a decimal between 0 and 1; the first preset value is 0.
[0010] In one possible implementation, both the first spectral image and the target spectral image include detection signals from at least one sensing channel, and the first similarity includes the similarity between the detection signals of the first spectral image and the target spectral image, wherein each sensing channel of the transmitting spectrometer and the receiving spectrometer corresponds to a type of filter in the filter array of the spectrometer.
[0011] In one possible implementation, the method further includes:
[0012] If it is determined that the first spectral pattern is the same as the target spectral pattern, the information stored in the first spectral pattern is obtained.
[0013] In one possible implementation, both the transmitting spectrometer and the receiving spectrometer are quantum dot spectrometers. The first spectral pattern includes multiple regions, each region comprising multiple areas made of quantum dot material. The step of detecting the first spectral pattern to obtain a first detection signal includes:
[0014] The spectral information of quantum dot materials in a designated region of the first spectral pattern is detected to obtain a first detection signal, wherein the number of quantum dot material types in the designated region includes at least one.
[0015] According to one aspect of this disclosure, an information authentication system is provided, the system comprising:
[0016] A transmitting spectrometer and a receiving spectrometer, wherein the similarity between the signals obtained by the transmitting spectrometer and the receiving spectrometer for identifying arbitrary and identical spectral patterns is within a preset range, and the receiving spectrometer is used for:
[0017] A first spectral pattern is detected to obtain a first detection signal, wherein the first spectral pattern includes multiple regions;
[0018] If the first similarity between the first detection signal and the preset signal is within a preset range, or the difference between the similarity threshold and the first similarity is less than a first preset value, then it is determined that the first spectral pattern is the same as the target spectral pattern, wherein the preset signal is obtained by the transmitter spectrometer detecting the target spectral pattern;
[0019] Furthermore, the detection signal obtained by any fabricated non-emitter or non-receiver spectrometer from the first spectral pattern will not be judged as a true value, or the probability of being judged as a true value is less than p, where p is less than 10. -60 .
[0020] In one possible implementation, the receiving spectrometer is further configured to determine that the first spectral pattern is different from the target spectral pattern if the first similarity between the first detection signal and the preset signal is not within a preset range, or if the difference between the similarity threshold and the first similarity is greater than the first preset value.
[0021] In one possible implementation, the preset range is between 1 and a, where a is a decimal between 0 and 1; the first preset value is 0.
[0022] In one possible implementation, both the first spectral image and the target spectral image include detection signals from at least one sensing channel, and the first similarity includes the similarity between the detection signals of the first spectral image and the target spectral image, wherein each sensing channel of the transmitting spectrometer and the receiving spectrometer corresponds to a type of filter in the filter array of the spectrometer.
[0023] In one possible implementation, the receiving spectrometer is further used for:
[0024] If it is determined that the first spectral pattern is the same as the target spectral pattern, the information stored in the first spectral pattern is obtained.
[0025] In one possible implementation, both the transmitting spectrometer and the receiving spectrometer are quantum dot spectrometers. The first spectral pattern includes multiple regions, each region comprising multiple areas made of quantum dot material. The step of detecting the first spectral pattern to obtain a first detection signal includes:
[0026] The spectral information of quantum dot materials in a designated region of the first spectral pattern is detected to obtain a first detection signal, wherein the number of quantum dot material types in the designated region includes at least one.
[0027] This embodiment of the present disclosure obtains a first detection signal by detecting a first spectral pattern. If the first similarity between the first detection signal and a preset signal is within a preset range, or the difference between the similarity threshold and the first similarity is less than a first preset value, then it is determined that the first spectral pattern is the same as the target spectral pattern. This can quickly identify the authenticity of the first spectral pattern. Due to the physical characteristics of the spectrometer itself, the spectrometer is difficult to counterfeit. Therefore, information identification has the characteristics of high security. Furthermore, storing information through the spectral pattern can improve information storage capacity.
[0028] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Other features and aspects of this disclosure will become clear from the following detailed description of exemplary embodiments with reference to the accompanying drawings. Attached Figure Description
[0029] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this disclosure and, together with the specification, serve to illustrate the technical solutions of this disclosure.
[0030] Figure 1 A flowchart of an information authentication method according to an embodiment of the present disclosure is shown.
[0031] Figure 2 A schematic diagram illustrating information identification using a spectrometer is shown.
[0032] Figure 3 A flowchart of an information authentication method according to an embodiment of the present disclosure is shown.
[0033] Figure 4 A schematic diagram showing the signal-to-noise ratio and accuracy of the spectrometer is presented.
[0034] Figure 5 A schematic diagram illustrating information authentication using the information authentication method according to an embodiment of the present disclosure is shown.
[0035] Figure 6 A schematic diagram of an information authentication system according to an embodiment of the present disclosure is shown. Detailed Implementation
[0036] Various exemplary embodiments, features, and aspects of this disclosure will now be described in detail with reference to the accompanying drawings. The same reference numerals in the drawings denote elements that have the same or similar functions. Although various aspects of the embodiments are shown in the drawings, they are not necessarily drawn to scale unless specifically indicated otherwise.
[0037] In the description of this disclosure, it should be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this disclosure and simplifying the description, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this disclosure.
[0038] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this disclosure, "a plurality of" means two or more, unless otherwise expressly specified.
[0039] In this disclosure, unless otherwise expressly specified and limited, the terms "installation," "connection," "linking," "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this disclosure according to the specific circumstances.
[0040] The term “exemplary” as used herein means “serving as an example, embodiment, or illustration.” Any embodiment illustrated herein as “exemplary” is not necessarily to be construed as superior to or better than other embodiments.
[0041] In this document, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent three cases: A alone, A and B simultaneously, and B alone. Furthermore, the term "at least one" in this document means any combination of at least two of any one or more elements. For example, including at least one of A, B, and C can mean including any one or more elements selected from the set consisting of A, B, and C.
[0042] Furthermore, to better illustrate this disclosure, numerous specific details are set forth in the following detailed description. Those skilled in the art will understand that this disclosure can be practiced without certain specific details. In some instances, methods, means, components, and circuits well known to those skilled in the art have not been described in detail in order to highlight the main points of this disclosure.
[0043] Please see Figure 1 , Figure 1 A flowchart of an information authentication method according to an embodiment of the present disclosure is shown.
[0044] like Figure 1 As shown, the method is applied to a receiving spectrometer, and the method includes:
[0045] Step S11: Detect the first spectral pattern to obtain the first detection signal. The first spectral pattern includes multiple regions.
[0046] Step S12: If the first similarity between the first detection signal and the preset signal is within a preset range, or the difference between the similarity threshold and the first similarity is less than a first preset value, then it is determined that the first spectral pattern is the same as the target spectral pattern, and the first detection signal is judged to be true.
[0047] The preset signal is obtained by the transmitting spectrometer detecting the target spectral pattern, and the similarity between the signals obtained by the transmitting spectrometer and the receiving spectrometer for any and the same spectral pattern is within a preset range.
[0048] Furthermore, the detection signal obtained by any fabricated non-emitter or non-receiver spectrometer from the first spectral pattern will not be judged as a true value, or the probability of being judged as a true value is less than p, where p is less than 10. -60 .
[0049] This embodiment of the present disclosure obtains a first detection signal by detecting a first spectral pattern. If the first similarity between the first detection signal and a preset signal is within a preset range, or the difference between the similarity threshold and the first similarity is less than a first preset value, then it is determined that the first spectral pattern is the same as the target spectral pattern. This can quickly achieve the identification of the authenticity of the first spectral pattern. For example, if the spectrometer is a quantum dot spectrometer, due to the physical characteristics of the quantum dot spectrometer itself, the spectrometer is difficult to be counterfeited. Therefore, the information identification has the characteristics of high security. Furthermore, storing information through the spectral pattern can improve the information storage capacity.
[0050] For example, in this embodiment of the disclosure, both the transmitting spectrometer and the receiving spectrometer can be quantum dot spectrometers. The first spectral pattern includes multiple regions, each region comprising multiple regions made of quantum dot material. The step of detecting the first spectral pattern to obtain a first detection signal includes:
[0051] The spectral information of quantum dot materials in a designated region of the first spectral pattern is detected to obtain a first detection signal, wherein the number of quantum dot material types in the designated region includes at least one.
[0052] The embodiments of this disclosure do not limit the specific number of quantum dot film patterns in a designated area. Those skilled in the art can set the number of quantum dot film patterns used for information identification in the first spectral pattern according to the actual situation and needs. For example, the number of quantum dot film patterns used for information identification can be 1. Therefore, the embodiments of this disclosure only need to analyze one of the quantum dot film patterns as the identification object, instead of analyzing the entire spectral pattern, so as to reduce the analysis cost.
[0053] The quantum dot pattern can be formed by printing or other methods, or a quantum dot film can be prepared first and then multiple films can be integrated. This disclosure does not limit the specific methods used.
[0054] The following explains why spectrometers are difficult to counterfeit.
[0055] It should be noted that the term "identical" spectrometers in this disclosure can refer to two spectrometers whose filter assemblies achieve the same or similar effects in terms of the number, type, spatial arrangement, and manufacturing process of the filters (e.g., the flatness, thickness uniformity, and other characteristics of the filters are the same or similar). The similarity of signals obtained by "identical" spectrometers for any and the same spectral pattern is within a preset range. Ideally, the similarity of signals obtained by "identical" spectrometers for any and the same spectral pattern is 1.
[0056] In one example, manufacturing two identical spectrometers requires nearly identical experimental conditions to obtain various quantum dots to achieve spectral detection performance across a wide wavelength range. Furthermore, the number, type, spatial arrangement, and fabrication processes of the integrated quantum dot filter components must be consistent or have variations within a tolerable range. However, it is nearly impossible to recreate identical experimental scenarios when manufacturing spectrometers, and achieving complete consistency in various conditions and raw materials (such as temperature, time, ligands, and precursors) during filter component synthesis is also challenging. Taking the preparation of a quantum dot spectrometer that obtains transmission spectra as an example, it requires adjusting raw materials and process parameters to obtain a series of quantum dot materials. These quantum dot materials exhibit rich diversity, and their corresponding transmission spectra are correspondingly difficult to replicate. Therefore, a quantum dot spectrometer integrating these multiple materials possesses "specific" spectral characteristics that are difficult to imitate.
[0057] Additionally, Equation 1 shows the physically unclonable function of quantum dot spectrometers:
[0058]
[0059] Where p represents the probability of replicating the quantum dot spectrometer, p i This represents the probability of replicating a spectral channel, and k represents the number of spectral channels in the quantum dot spectrometer.
[0060] According to Formula 1, as the number of spectral channels in the spectrometer increases, the probability of successfully replicating the spectrometer decreases. If the probability of replicating a single spectral channel is p... i =0.001, if the number of spectral channels in the spectrometer is greater than 20, then the probability p of replicating a spectrometer is <10. -60 If the number of spectral channels in a spectrometer is greater than 100, then the probability of replicating a spectrometer is p < 10. -300 This demonstrates that spectrometers possess a unique characteristic that cannot be replicated by others.
[0061] Furthermore, for QD spectrometers, when using a quantum dot spectrometer for spectral detection, a signal represented by the quantum dot spectral sensing channel on the quantum dot spectrometer filter is first obtained. Only then is spectral reconstruction performed to recover the incident spectrum. This signal represented by the quantum dot spectral sensing channel is bound to the quantum dot spectrometer. Because quantum dot spectra have spectral tunability over a wide spectral range, they possess spectral diversity. Moreover, a quantum dot spectrometer is composed of multiple quantum dots, which exponentially increases the difficulty of replication. It is almost impossible to replicate an identical quantum dot spectrum. The core of a quantum dot spectrometer is a filter array composed of multiple quantum dots. Therefore, without knowing the manufacturing scheme of a quantum dot spectrometer, it is virtually impossible to manufacture an identical quantum dot spectrometer, making it impossible for others to clone.
[0062] It should be understood that the more sensing channels a spectrometer has, the greater the difference in similarity between signals obtained from different spectrometers.
[0063] In addition to QD (Quantum Dot) spectrometers, the spectrometers in this embodiment can also be other types of spectrometers. This embodiment does not limit the scope of the invention. Of course, in order to make the information identification method of this embodiment more effective, other types of spectrometers should be selected that are similar in principle to quantum dot spectrometers, and the number of filters in the spectrometer should be as large as possible. For example, other spectrometers can be spectrometers based on one or more types of filters such as metasurface filters, photonic crystal filters, perovskite quantum dot filters, and colloidal quantum dot filters. In each type of filter, one or more specific filter types can be selected. This embodiment does not limit the scope of the invention.
[0064] Please see Figure 2 , Figure 2 A schematic diagram illustrating information identification using a spectrometer is shown.
[0065] In one example, such as Figure 2 As shown, for the same detected spectrum, only two "identical" spectrometers can obtain the same measurement signal. In this embodiment of the present disclosure, the similarity of the signals obtained by the transmitting spectrometer and the receiving spectrometer for identifying any and the same spectral pattern is within a preset range, and they can be considered to be almost identical. Therefore, the security of information identification can be improved.
[0066] Of course, it should be understood that the transmitting spectrometer and the receiving spectrometer in the embodiments of this disclosure can be two different spectrometers manufactured under the same conditions. In some embodiments, the transmitting spectrometer and the receiving spectrometer can be the same, for example, both are spectrometer S. After the spectral pattern is manufactured, the transmitting user can use the spectrometer S to detect the spectral pattern, obtain a preset signal, send the preset signal to the receiving user, and physically move the spectrometer S to the location of the receiving user. When the receiving user obtains the first spectral pattern, the receiving user can use the spectrometer S to detect the first spectral pattern and obtain a first detection signal. If the first similarity between the first detection signal and the preset signal is within a preset range, or the difference between the similarity threshold and the first similarity is less than a first preset value, then it is determined that the first spectral pattern is the same as the target spectral pattern; otherwise, it can be determined that the two are different.
[0067] Thus, the present embodiment can quickly identify the authenticity of the first spectral pattern. Due to the physical characteristics of the spectrometer itself, the spectrometer is difficult to counterfeit, so the information identification has the characteristics of high security. Furthermore, storing information through the spectral pattern can improve information storage capacity.
[0068] This disclosure utilizes a spectrometer for information storage, enabling the entire information system to possess information authentication capabilities. This allows the information authentication function to be directly integrated into the information storage system, eliminating the need for additional information security components. This dual functionality allows the information system to possess both large capacity and high security.
[0069] This disclosure does not limit the specific method for calculating similarity. For example, the similarity can be cosine similarity. Those skilled in the art can use appropriate methods to calculate the first similarity between the first detection signal and the preset signal according to the actual situation and needs. This disclosure does not limit the specific size of the preset range, the first preset value, and the similarity threshold. For example, in one possible implementation, the preset range can be between 1 and a, where a is a decimal between 0 and 1; the first preset value can be 0.
[0070] In one possible implementation, both the first spectral image and the target spectral image include detection signals from at least one sensing channel. The first similarity may include the similarity between the detection signals of the first spectral image and the target spectral image. Each sensing channel of the transmitting spectrometer and the receiving spectrometer corresponds to a type of filter in the spectrometer's filter array. For example, assuming a QD spectrometer is used for detection, the detection signal measured by each QD thin film is an n-dimensional vector, where n represents the number of QD filters in the QD spectrometer. Comparing the similarity of different detection signals is equivalent to comparing the similarity of two n-dimensional vectors. This disclosure does not limit the type of filter. For example, the filter can be at least one type of metasurface filter, photonic crystal filter, perovskite quantum dot filter, or colloidal quantum dot filter, and each filter type includes multiple different types.
[0071] The embodiments disclosed herein do not limit the specific size of the similarity threshold. For example, the similarity threshold may be 1-a or 1. The following describes the possible implementation methods for determining the similarity threshold.
[0072] For example, two identical spectrometers can be used to detect the same spectral pattern, and the similarity between the signals detected by the two spectrometers can be calculated. Since manufacturing accidents may cause slight differences between the two spectrometers, the similarity between the signals detected by the two spectrometers is 1-a. Ideally, the similarity between the signals detected by the two spectrometers is 1. Therefore, the similarity threshold of this embodiment can be the similarity between the signals detected by the two spectrometers, i.e., 1-a or 1.
[0073] In one possible implementation, if the first similarity between the first detection signal and the preset signal is not within a preset range, or if the difference between the similarity threshold and the first similarity is greater than the first preset value, then it can be determined that the first spectral pattern is not the same as the target spectral pattern.
[0074] Please see Figure 3 , Figure 3 A flowchart of an information authentication method according to an embodiment of the present disclosure is shown.
[0075] In one possible implementation, such as Figure 3 As shown, the method may further include:
[0076] Step S13: If it is determined that the first spectral pattern is the same as the target spectral pattern, obtain the information stored in the first spectral pattern.
[0077] For example, if it is determined that the first spectral pattern is the same as the target spectral pattern, then the first spectral pattern can be determined to be true, that is, it carries real and reliable information. In this case, the embodiments of this disclosure can obtain the information stored in the first spectral pattern.
[0078] This disclosure does not limit the materials, manufacturing methods, or information carried by the spectral pattern. Those skilled in the art can select materials with different spectral characteristics (such as quantum dot nanomaterials) and employ appropriate manufacturing methods to produce the spectral pattern. The information carried by the spectral pattern can be any type or combination thereof, such as text, QR codes, or pictures. This disclosure does not limit the materials used in different regions of the spectral pattern. For example, different regions can be made of materials with the same or different spectral curves. Preferably, at least some regions of the spectral pattern use materials with different spectral curves.
[0079] For example, in this embodiment of the disclosure, materials with spectral signals can be selected according to actual conditions and needs. Based on the information to be stored, the type and concentration gradient of the material are selected. The type of material indicates which data bits are included in the stored information, and the concentration of the material indicates the specific content of the data bits. Accordingly, when reading data, the composite spectral information of the storage unit can be obtained by irradiating the storage unit with incident light. After parsing, the spectral channels included in the composite spectral information and the weights of each spectral channel can be obtained. The spectral channels indicate which data bits are included in the stored information, and the weights of the spectral channels indicate the specific content of the data bits.
[0080] Please see Figure 4 , Figure 4 A schematic diagram showing the signal-to-noise ratio and accuracy of the spectrometer is presented.
[0081] In one example, such as Figure 4As shown, after multiple tests, as the signal-to-noise ratio (SNR) of the spectrometer gradually increases, this embodiment of the present disclosure, when determining whether the first spectral pattern is the same as or different from the target spectral pattern, gradually increases the SNR of the receiving spectrometer. Under high SNR conditions, the first spectral pattern is re-detected to obtain a first detection signal. The first similarity between the first detection signal and a preset signal is then re-evaluated to determine whether it is within a preset range, or whether the difference between the similarity threshold and the first similarity is less than a first preset value. This process continues until it is determined that the first spectral pattern is the same as the target spectral pattern or the SNR reaches a preset SNR, thereby improving the accuracy of identification and reducing the false positive rate. This embodiment of the present disclosure does not limit the specific implementation method for improving the spectrometer SNR. Those skilled in the art can adopt appropriate methods to improve it according to actual conditions and needs. For example, factors affecting the spectrometer SNR can be appropriately changed, such as the type of filter, the filter's filtering capability, detector performance, and ambient temperature, to obtain the required spectrometer SNR.
[0082] For example, embodiments of this disclosure can determine the preferred signal-to-noise ratio (SNR) of the spectrometer in advance according to actual conditions and needs, so that the spectrometer can perform information identification at the preferred SNR. The selection of the spectrometer SNR can consider, for example, the need to set a similarity threshold and the information identification accuracy. A higher SNR results in a higher similarity threshold and a higher identification accuracy. Taking the determination of the spectrometer SNR using information identification accuracy as an example, in one example, if a target information identification accuracy is given, embodiments of this disclosure can determine the target SNR of the spectrometer that achieves the target information identification accuracy. In practical use, the spectrometer's SNR can be set to be greater than or equal to the target SNR, so that information identification using the spectrometer achieves a high identification success rate.
[0083] Of course, the success rate of identification can also be improved in other ways in the embodiments of this disclosure. For example, since the transmitting spectrometer and the receiving spectrometer are manufactured in advance, the embodiments of this disclosure can manufacture multiple "identical" spectrometers under the same conditions, and select the spectrometer with better test results from among the multiple spectrometers as the transmitting spectrometer and the receiving spectrometer. In addition, multiple "identical" spectral patterns can also be manufactured under the same conditions, and the spectral pattern with better test results from among the multiple spectral patterns can be selected as the final spectral pattern. In this way, the embodiments of this disclosure improve the credibility of information identification results by selecting appropriate spectrometers and appropriate spectral patterns.
[0084] In one possible implementation, the method may further include:
[0085] If it is determined that the first spectral pattern is the same as or different from the target spectral pattern, the signal-to-noise ratio of the receiving spectrometer is gradually increased. Under the condition of high signal-to-noise ratio, the first spectral pattern is re-detected to obtain the first detection signal. Then, it is re-determined whether the first similarity between the first detection signal and the preset signal is within the preset range, or whether the difference between the similarity threshold and the first similarity is less than the first preset value, until it is determined that the first spectral pattern is the same as the target spectral pattern or the signal-to-noise ratio reaches the preset signal-to-noise ratio.
[0086] For example, when the differences between two spectrometers are very small (such as only one sensing channel being different), or in the presence of noise, misidentification (false judgment) may occur. For instance, the same spectral pattern may be identified as different (the first similarity between the first detection signal and the preset signal is not within the preset range, or the difference between the similarity threshold and the first similarity is greater than the first preset value), or different spectral patterns may be identified as the same (the first similarity between the first detection signal and the preset signal is within the preset range, or the difference between the similarity threshold and the first similarity is less than the first preset value). Therefore, further judgment can be made to reduce the false judgment rate.
[0087] The information identification method described below is given by way of example.
[0088] In one example, suppose A prepares two identical spectrometers (Spectrum A1 and Spectrum A2), one of which is given to B (Spectrum A2). Spectrum A1 and Spectrum A2 meet a preset resolution requirement. Furthermore, A designs a spectral pattern Spa, which stores information. Spectrum A1 detects this spectral pattern Spa and obtains a response signal vector α (a preset signal). Suppose B receives the spectral pattern Spa. After receiving Spa, B can use Spectrum A2 to detect Spa and determine the authenticity of the spectral pattern based on the obtained vector result. For example, if the signal obtained by Spectrum A2 from detecting Spa is also a response signal vector α, or if the first similarity between the obtained signal and the response signal vector α is within a preset range, or if the difference between the similarity threshold and the first similarity is less than a first preset value, then it is determined that the first spectral pattern is the same as the target spectral pattern.
[0089] In one example, suppose a third party forges the spectral pattern b. When the spectrometer SpecA2 is used to detect it, if the obtained vector signal γ is different from the known response signal vector α (preset signal), or the first similarity between the vector signal γ and the preset signal is not within a preset range, or the difference between the similarity threshold and the first similarity is greater than the first preset value, then it can be determined that the first spectral pattern is different from the target spectral pattern and that the spectral pattern b is fake.
[0090] In one example, suppose a third party forges spectrometer B. Even if spectrometer B is used to detect the spectral pattern SPa, the obtained vector signal β will be different from the known response signal vector α (preset signal), or the first similarity between the vector signal β and the preset signal is not within a preset range, or the difference between the similarity threshold and the first similarity is greater than the first preset value. In this case, the third party will only conclude that the spectral pattern b is fake.
[0091] Please see Figure 5 , Figure 5 A schematic diagram illustrating information authentication using the information authentication method according to an embodiment of the present disclosure is shown.
[0092] In one example, such as Figure 5 As shown, assume that the manufacturer of the QD spectrometer produced two identical sets of QD spectrometers (Spectrum A1 and Spectrum A2 are one set, and Spectrum B1 and Spectrum B2 are another set). Spectrum A1 is given to Alice, Spectrum B1 is given to Bob, and Spectrum A2 and Spectrum B2 are given to David.
[0093] In one example, such as Figure 5 As shown, Alice stores the information to be transmitted in the spectral pattern SPa and uses the spectrometer SpecA1 to detect and obtain the measured value α. Bob stores the information to be transmitted in the spectral pattern SPb and uses the spectrometer SpecB1 to detect and obtain the measured value β.
[0094] In one example, such as Figure 5 As shown, when David obtained a QD spectral pattern of unknown origin, he used spectrometers SpecA2 and SpecB2 to detect the spectral pattern and obtained the measured values α and γ, respectively. By comparing the measured values of Alice and Bob, it can be determined that the spectral pattern came from Alice. The method of determination is the same as that described before, and will not be repeated here.
[0095] It is understood that the various method embodiments mentioned above in this disclosure can be combined with each other to form combined embodiments without violating the principle and logic. Due to space limitations, this disclosure will not elaborate further. Those skilled in the art will understand that in the above methods of specific implementation, the specific execution order of each step should be determined by its function and possible internal logic.
[0096] Please see Figure 6 , Figure 6 A schematic diagram of an information authentication system according to an embodiment of the present disclosure is shown.
[0097] like Figure 6 As shown, the system includes:
[0098] A transmitting spectrometer 10 and a receiving spectrometer 20 are provided. The similarity between the signals obtained by the transmitting spectrometer 10 and the receiving spectrometer 20 for identifying arbitrary and identical spectral patterns is within a preset range. The receiving spectrometer 20 is used for:
[0099] A first spectral pattern is detected to obtain a first detection signal, wherein the first spectral pattern includes multiple regions;
[0100] If the first similarity between the first detection signal and the preset signal is within a preset range, or the difference between the similarity threshold and the first similarity is less than a first preset value, then the first spectral pattern is determined to be the same as the target spectral pattern, and the first detection signal is judged to be a true value.
[0101] The preset signal is obtained by the transmitter spectrometer detecting the target spectral pattern;
[0102] Furthermore, the detection signal obtained by any fabricated non-emitter or non-receiver spectrometer from the first spectral pattern will not be judged as a true value, or the probability of being judged as a true value is less than p, where p is less than 10. -60 .
[0103] The receiving spectrometer in this embodiment detects a first spectral pattern to obtain a first detection signal. If the first similarity between the first detection signal and a preset signal is within a preset range, or the difference between the similarity threshold and the first similarity is less than a first preset value, then it is determined that the first spectral pattern is the same as the target spectral pattern. This can quickly identify the authenticity of the first spectral pattern. Due to the physical characteristics of the spectrometer itself, the spectrometer is difficult to counterfeit. Therefore, information identification has the characteristics of high security. Furthermore, storing information through the spectral pattern can improve information storage capacity.
[0104] In one possible implementation, the receiving spectrometer 20 is further configured to determine that the first spectral pattern is different from the target spectral pattern if the first similarity between the first detection signal and the preset signal is not within a preset range, or if the difference between the similarity threshold and the first similarity is greater than the first preset value.
[0105] In one possible implementation, the preset range is between 1 and a, where a is a number between 0 and 1; the first preset value is 0.
[0106] In one possible implementation, the receiving spectrometer 20 can also be used for:
[0107] If it is determined that the first spectral pattern is not the same as the target spectral pattern, the signal-to-noise ratio of the receiver spectrometer is gradually increased. Under the condition of high signal-to-noise ratio, the first spectral pattern is re-detected to obtain the first detection signal. Then, it is re-determined whether the first similarity between the first detection signal and the preset signal is within the preset range, or whether the difference between the similarity threshold and the first similarity is less than the first preset value, until it is determined that the first spectral pattern is the same as the target spectral pattern or the signal-to-noise ratio reaches the preset signal-to-noise ratio.
[0108] For example, embodiments of this disclosure can determine the preferred signal-to-noise ratio (SNR) of the spectrometer in advance according to actual conditions and needs, so that the spectrometer can perform information identification at the preferred SNR. The selection of the spectrometer SNR can consider, for example, the need to set a similarity threshold and the information identification accuracy. A higher SNR results in a higher similarity threshold and a higher identification accuracy. Taking the determination of the spectrometer SNR using information identification accuracy as an example, in one example, if a target information identification accuracy is given, embodiments of this disclosure can determine the target SNR of the spectrometer that achieves the target information identification accuracy. In practical use, the spectrometer's SNR can be set to be greater than or equal to the target SNR, so that information identification using the spectrometer achieves a high identification success rate.
[0109] In one possible implementation, both the first spectral image and the target spectral image include detection signals from at least one sensing channel, and the first similarity includes the similarity between the detection signals of the first spectral image and the target spectral image, wherein each sensing channel of the transmitting spectrometer and the receiving spectrometer corresponds to a type of filter in the filter array of the spectrometer.
[0110] In one possible implementation, the receiving spectrometer 20 can also be used for:
[0111] If it is determined that the first spectral pattern is the same as the target spectral pattern, the information stored in the first spectral pattern is obtained.
[0112] In one possible implementation, both the transmitting spectrometer and the receiving spectrometer are quantum dot spectrometers, and the first spectral pattern includes multiple quantum dot thin film patterns. The step of detecting the first spectral pattern to obtain a first detection signal includes:
[0113] The quantum dot film pattern in a designated region of the first spectral pattern is detected to obtain a first detection signal, wherein the number of quantum dot film patterns in the designated region includes at least one.
[0114] In some embodiments, the functions or modules of the apparatus provided in this disclosure can be used to perform the methods described in the above method embodiments. The specific implementation can be referred to the description of the above method embodiments, and for the sake of brevity, it will not be repeated here.
[0115] The various embodiments of this disclosure have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or improvement of the technology in the market, or to enable others skilled in the art to understand the embodiments disclosed herein.
Claims
1. An information identification method, characterized in that, The method is applied to a receiving spectrometer, and the method includes: A first spectral pattern is detected to obtain a first detection signal, wherein the first spectral pattern includes multiple regions; If the first similarity between the first detection signal and the preset signal is within a preset range, or the difference between the similarity threshold and the first similarity is less than a first preset value, then the first spectral pattern is determined to be the same as the target spectral pattern, and the first detection signal is judged to be a true value. If it is determined that the first spectral pattern is the same as or different from the target spectral pattern, the signal-to-noise ratio of the receiver spectrometer is gradually increased. Under the condition of high signal-to-noise ratio, the first spectral pattern is re-detected to obtain the first detection signal. Then, it is re-determined whether the first similarity between the first detection signal and the preset signal is within the preset range, or whether the difference between the similarity threshold and the first similarity is less than the first preset value, until it is determined that the first spectral pattern is the same as the target spectral pattern or the signal-to-noise ratio reaches the preset signal-to-noise ratio. The preset signal is obtained by the transmitting spectrometer detecting the target spectral pattern, and the similarity between the signals obtained by the transmitting spectrometer and the receiving spectrometer for any and the same spectral pattern is within a preset range. Furthermore, the detection signal obtained by any fabricated non-emitter or non-receiver spectrometer from the first spectral pattern will not be judged as a true value, or the probability of being judged as a true value is less than p, where p is less than 10. -60 .
2. The method according to claim 1, characterized in that, If the first similarity between the first detection signal and the preset signal is not within the preset range, or the difference between the similarity threshold and the first similarity is greater than the first preset value, then it is determined that the first spectral pattern is different from the target spectral pattern.
3. The method according to claim 1, characterized in that, The preset range is between 1 and a, where a is a number between 0 and 1; the first preset value is 0.
4. The method according to claim 1, characterized in that, Both the first spectral pattern and the target spectral pattern include detection signals from at least one sensing channel. The first similarity includes the similarity between the detection signals of the first spectral image and the target spectral image. Each sensing channel of the transmitting spectrometer and the receiving spectrometer corresponds to the type of filter in the filter array of the spectrometer.
5. The method according to claim 1, characterized in that, The method further includes: If it is determined that the first spectral pattern is the same as the target spectral pattern, the information stored in the first spectral pattern is obtained.
6. The method according to any one of claims 1 to 5, characterized in that, Both the transmitting spectrometer and the receiving spectrometer are quantum dot spectrometers. The first spectral pattern includes multiple regions, each containing multiple regions made of quantum dot material. The step of detecting the first spectral pattern to obtain a first detection signal includes: The spectral information of quantum dot materials in a designated region of the first spectral pattern is detected to obtain a first detection signal, wherein the number of quantum dot material types in the designated region includes at least one.
7. An information authentication system, characterized in that, The system includes: A transmitting spectrometer and a receiving spectrometer, wherein the similarity between the signals obtained by the transmitting spectrometer and the receiving spectrometer for identifying arbitrary and identical spectral patterns is within a preset range, and the receiving spectrometer is used for: A first spectral pattern is detected to obtain a first detection signal, wherein the first spectral pattern includes multiple regions; If the first similarity between the first detection signal and the preset signal is within a preset range, or the difference between the similarity threshold and the first similarity is less than a first preset value, then it is determined that the first spectral pattern is the same as the target spectral pattern, and the first detection signal is judged to be a true value; wherein, the preset signal is obtained by the transmitter spectrometer detecting the target spectral pattern; If it is determined that the first spectral pattern is the same as or different from the target spectral pattern, the signal-to-noise ratio of the receiver spectrometer is gradually increased. Under the condition of high signal-to-noise ratio, the first spectral pattern is re-detected to obtain the first detection signal. Then, it is re-determined whether the first similarity between the first detection signal and the preset signal is within the preset range, or whether the difference between the similarity threshold and the first similarity is less than the first preset value, until it is determined that the first spectral pattern is the same as the target spectral pattern or the signal-to-noise ratio reaches the preset signal-to-noise ratio. Furthermore, the detection signal obtained by any fabricated non-emitter or non-receiver spectrometer from the first spectral pattern will not be judged as a true value, or the probability of being judged as a true value is less than p, where p is less than 10. -60 .
8. The system according to claim 7, characterized in that, The receiving spectrometer is further configured to determine that the first spectral pattern is different from the target spectral pattern if the first similarity between the first detection signal and the preset signal is not within a preset range, or if the difference between the similarity threshold and the first similarity is greater than the first preset value.
9. The system according to claim 7, characterized in that, The preset range is between 1 and a, where a is a number between 0 and 1; the first preset value is 0.
10. The system according to claim 7, characterized in that, Both the first spectral pattern and the target spectral pattern include detection signals from at least one sensing channel. The first similarity includes the similarity between the detection signals of the first spectral image and the target spectral image. Each sensing channel of the transmitting spectrometer and the receiving spectrometer corresponds to the type of filter in the filter array of the spectrometer.
11. The system according to claim 7, characterized in that, The receiving spectrometer is also used for: If it is determined that the first spectral pattern is the same as the target spectral pattern, the information stored in the first spectral pattern is obtained.
12. The system according to any one of claims 7 to 11, characterized in that, Both the transmitting spectrometer and the receiving spectrometer are quantum dot spectrometers. The first spectral pattern includes multiple regions, each containing multiple regions made of quantum dot material. The step of detecting the first spectral pattern to obtain a first detection signal includes: The spectral information of quantum dot materials in a designated region of the first spectral pattern is detected to obtain a first detection signal, wherein the number of quantum dot material types in the designated region includes at least one.