CN110853217B - Method, device and equipment for determining false discriminating wavelength and storage medium - Google Patents
Method, device and equipment for determining false discriminating wavelength and storage medium Download PDFInfo
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- CN110853217B CN110853217B CN201810820865.0A CN201810820865A CN110853217B CN 110853217 B CN110853217 B CN 110853217B CN 201810820865 A CN201810820865 A CN 201810820865A CN 110853217 B CN110853217 B CN 110853217B
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/06—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency using wave or particle radiation
- G07D7/12—Visible light, infrared or ultraviolet radiation
Abstract
The invention discloses a method, a device, equipment and a storage medium for determining a false discriminating wavelength, wherein the method comprises the following steps: acquiring optical characteristic data of a counterfeit identification object in a full wave band, wherein the optical characteristic data comprises reflection data and/or transmission data of the counterfeit identification object at different scanning wavelengths; and determining the optimal authentication wavelength of the authentication object according to the optical characteristic data and a preset rule. The embodiment of the invention can quickly realize the determination of the optimal counterfeit identification wavelength, thereby selecting the optical image sensor which is in line with the optimal counterfeit identification wavelength to carry out counterfeit identification on the counterfeit identification object, and improving the accuracy and reliability of the counterfeit identification based on the optical image sensor.
Description
Technical Field
The embodiment of the invention relates to an authentic identification technology, in particular to an authentic identification wavelength determining method, device, equipment and storage medium.
Background
At present, when the financial anti-counterfeiting products such as paper money or bills are identified, special instruments are needed to be used, and most of the instruments are integrated with an optical image sensor, a magnetic sensor, a thickness sensor and the like. The sensors of different types are used for detecting the characteristics of the anti-counterfeiting product, such as optical property, magnetism, thickness and the like, so that the aim of counterfeit identification is fulfilled. When detecting the optical anti-counterfeit characteristics of the paper money or the bill, the detection is mainly performed on the optical characteristics of reflection and transmission of the paper money or the bill, mainly using a Contact Image Sensor (CIS).
When the CIS is used for detection, the counterfeit identification precision is improved by selecting the composition of three different wave bands of ultraviolet light, visible light and infrared light. In the specific detection process, the only fixed wavelength is selected in different wave bands, for example, the fixed wavelength of the ultraviolet wave band is 365nm, the fixed wavelength of the visible light wave band is 520nm, and the fixed wavelength of the infrared light wave band is 940 nm. The selection of these specific wavelengths is largely empirical. However, with the upgrading of the paper money or the bills, the upgrading of the anti-counterfeiting technology and the difference of the anti-counterfeiting technology of the paper money or the bills in different countries, the optical anti-counterfeiting material of the paper money or the bills is also different. These optical anti-counterfeit materials (such as fluorescent anti-counterfeit materials) can only show the strongest optical characteristics under a specific wavelength, so that if the existing CIS sensor with a fixed wavelength is continuously used for carrying out counterfeit identification detection on upgraded or modified paper money or bills, the counterfeit identification precision can be influenced, and counterfeit identification errors can be caused.
Disclosure of Invention
The invention provides a method, a device, equipment and a storage medium for determining an authentic identification wavelength, which are used for rapidly determining the optimal authentic identification wavelength so as to improve the accuracy and reliability of authentic identification based on an optical image sensor.
In a first aspect, an embodiment of the present invention provides a method for determining an authentic wavelength, including:
acquiring optical characteristic data of a counterfeit identification object in a full wave band, wherein the optical characteristic data comprises reflection data and/or transmission data of the counterfeit identification object at different scanning wavelengths;
and determining the optimal authentication wavelength of the authentication object according to the optical characteristic data and a preset rule.
Optionally, the acquiring optical characteristic data of the counterfeit detection object in the full wavelength band includes:
within a preset scanning wave band range, sequentially adjusting the scanning wavelength of a scanning instrument according to a preset scanning interval;
and scanning the counterfeit identification object under each scanning wavelength by using the scanning instrument to obtain optical characteristic data of the counterfeit identification object under each scanning wavelength.
Optionally, determining an optimal authentication wavelength of the authentication object according to the optical characteristic data and a preset rule, including:
determining a target anti-counterfeiting area on the counterfeit identification object;
and determining the wavelength corresponding to the maximum value of the reflection intensity or the maximum value of the transmission intensity from the optical characteristic data of the target anti-counterfeiting area under each scanning wavelength as the optimal counterfeit identification wavelength.
Optionally, determining an optimal authentication wavelength of the authentication object according to the optical characteristic data and a preset rule, including:
calculating the sum of the reflection intensities of all anti-counterfeiting areas on the counterfeit identification object at the scanning wavelength or the sum of the transmission intensities of all anti-counterfeiting areas at the scanning wavelength aiming at each scanning wavelength;
and selecting the wavelength corresponding to the maximum value of the sum of the reflection intensities or the maximum value of the sum of the transmission intensities as the optimal discrimination wavelength.
Optionally, determining an optimal authentication wavelength of the authentication object according to the optical characteristic data and a preset rule, including:
determining a target anti-counterfeiting area and a target non-anti-counterfeiting area on the counterfeit identification object;
aiming at each scanning wavelength, calculating the reflection intensity ratio or the transmission intensity ratio of the target anti-counterfeiting area and the target non-anti-counterfeiting area under the scanning wavelength;
and selecting the wavelength corresponding to the maximum value of the reflection intensity ratio or the maximum value of the transmission intensity ratio as the optimal discrimination wavelength.
Optionally, determining an optimal authentication wavelength of the authentication object according to the optical characteristic data and a preset rule, including:
calculating the sum of the reflection intensities of all anti-counterfeiting areas on the counterfeit identification object under the scanning wavelength and the sum of the reflection intensities of all non-anti-counterfeiting areas under the scanning wavelength aiming at each scanning wavelength;
calculating the ratio of the sum of the reflection intensities of all the anti-counterfeiting areas under the scanning wavelength to the sum of the reflection intensities of all the non-anti-counterfeiting areas under the scanning wavelength;
and selecting the wavelength corresponding to the maximum ratio as the optimal discrimination wavelength.
Optionally, determining an optimal authentication wavelength of the authentication object according to the optical characteristic data and a preset rule, including:
aiming at each scanning wavelength, calculating the sum of the transmission intensities of all anti-counterfeiting areas on the counterfeit identification object under the scanning wavelength and the sum of the transmission intensities of all non-anti-counterfeiting areas under the scanning wavelength;
calculating the ratio of the sum of the transmission intensities of all anti-counterfeiting areas under the scanning wavelength to the sum of the transmission intensities of all non-anti-counterfeiting areas under the scanning wavelength;
and selecting the wavelength corresponding to the maximum ratio as the optimal discrimination wavelength.
In a second aspect, an embodiment of the present invention further provides an apparatus for determining a counterfeit identifying wavelength, including:
the data acquisition module is used for acquiring optical characteristic data of the counterfeit identification object in a full waveband, wherein the optical characteristic data comprises reflection data and/or transmission data of the counterfeit identification object at different scanning wavelengths;
and the wavelength determining module is used for determining the optimal counterfeit identification wavelength of the counterfeit identification object according to the optical characteristic data and a preset rule.
In a third aspect, an embodiment of the present invention further provides an apparatus, including:
one or more processors;
a memory for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a method of authenticating a wavelength as described in any embodiment of the invention.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for determining a counterfeit detection wavelength according to any embodiment of the present invention.
According to the embodiment of the invention, the optical characteristic data of the counterfeit identification object is obtained, and then the optimal counterfeit identification wavelength of the counterfeit identification object is determined according to the optical characteristic data and the preset rule, so that the determination of the optimal counterfeit identification wavelength can be rapidly realized, an optical image sensor which is in line with the optimal counterfeit identification wavelength can be selected to carry out counterfeit identification on the counterfeit identification object, and the accuracy and reliability of the counterfeit identification based on the optical image sensor are improved.
Drawings
FIG. 1 is a flow chart of a method for determining an authentic wavelength according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of an apparatus for determining a counterfeit identification wavelength according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an apparatus according to a third embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of an authentication wavelength determination method according to an embodiment of the present invention, which may be applied to a case where an optimal authentication wavelength is selected for an authentication object, and the method may be implemented by an authentication wavelength determination apparatus, which may be implemented by software and/or hardware, and may be integrated in a computer device with a computing processing function, such as a PC. As shown in fig. 1, the method specifically includes the following steps:
s110, acquiring optical characteristic data of the counterfeit identification object in a full wave band, wherein the optical characteristic data comprises reflection data and/or transmission data of the counterfeit identification object at different scanning wavelengths.
The counterfeit identification object refers to a product with counterfeit identification requirements, such as paper money, bills and the like, and one or more anti-counterfeiting areas are generally arranged on the surface of the counterfeit identification object. In order to deal with the upgrade of anti-counterfeiting technologies of products such as paper money or bills and the difference of anti-counterfeiting technologies of products such as paper money or bills in different countries, when the optical image sensor is used for identifying counterfeit, the optical image sensor with a proper wavelength is selected to carry out high-precision counterfeit identification. Therefore, the embodiment can collect optical characteristic data once and determine the optimal counterfeit identification wavelength for a type of paper money or bills adopting the same anti-counterfeiting technology or anti-counterfeiting material, so that an optical image sensor with a suitable wavelength can be selected to identify the type of paper money or bills.
The full wave band comprises an ultraviolet wave band, a visible light wave band and an infrared light wave band. The optical property data is capable of reflecting the reflectance and/or transmittance of the surface of the authentication object at the scanning wavelength. The reflection data and/or transmission data of the counterfeit object may be obtained according to specific requirements, for example, if the optimal counterfeit wavelength is determined according to the transmission condition of the counterfeit object, only the transmission data of the counterfeit object may be obtained.
Specifically, the counterfeit identification object may be scanned by a scanning device to collect optical characteristic data of the counterfeit identification object, for example, the scanning device may be a hyperspectral imager (also called a spectral camera), an ultraviolet-visible-near infrared spectrophotometer, or the like. The discrimination wavelength determining device may receive optical characteristic data transmitted by the scanning instrument. When the counterfeit identification object is scanned, the counterfeit identification object can be locally scanned according to a specific rule of selecting the optimal counterfeit identification wavelength, namely only a part or all of the counterfeit prevention area of the counterfeit identification object is scanned, and correspondingly, optical characteristic data of the part or all of the counterfeit prevention area of the counterfeit identification object under each scanning wavelength is acquired; the method can also be used for scanning the counterfeit identification object globally, namely scanning all areas (including all anti-counterfeiting areas and all non-anti-counterfeiting areas) of the counterfeit identification object, correspondingly acquiring optical characteristic data of the anti-counterfeiting areas and the non-anti-counterfeiting areas of the counterfeit identification object under each scanning wavelength, and the global scanning is beneficial to improving the accuracy of determining the optimal counterfeit identification wavelength.
Optionally, the acquiring optical characteristic data of the counterfeit detection object in the full wavelength band includes: within a preset scanning wave band range, sequentially adjusting the scanning wavelength of a scanning instrument according to a preset scanning interval; and scanning the counterfeit identification object under each scanning wavelength by using the scanning instrument to obtain optical characteristic data of the counterfeit identification object under each scanning wavelength.
The scanning waveband range can be set according to a scanning instrument and actual requirements, for example, the scanning waveband range can be 200-1000 nm, and three wavebands including ultraviolet, visible and infrared light are guaranteed. The scanning interval can be set according to actual requirements, for example, the scanning interval can be selected to be 2nm, 5nm or 10nm, and the smaller the scanning interval is, the more accurate the finally selected optimal counterfeit identification wavelength is, which is more favorable for counterfeit identification of a counterfeit identification object. In the scanning process, the scanning wavelength of the scanning instrument is adjusted according to the preset scanning interval, once adjustment is carried out, the scanning instrument is used for scanning the counterfeit identification object under the scanning wavelength, the optical characteristic data of the counterfeit identification object under the scanning wavelength is obtained, and therefore the optical characteristic data of the counterfeit identification object under each scanning wavelength can be obtained through multiple times of adjustment.
And S120, determining the optimal authentication wavelength of the authentication object according to the optical characteristic data and a preset rule.
The preset rule can be preset according to actual requirements, the optical characteristic data to be acquired should be matched with the preset rule, for example, the preset rule relates to all anti-counterfeiting areas of the counterfeit identification object, but does not relate to non-anti-counterfeiting areas, and only the optical characteristic data of the anti-counterfeiting areas can be acquired in a local scanning mode; if the preset rule relates to an anti-counterfeiting area and a non-anti-counterfeiting area at the same time, the comprehensive optical characteristic data needs to be acquired in a full scanning mode.
According to the technical scheme of the embodiment, the optical characteristic data of the counterfeit identification object is obtained, the optimal counterfeit identification wavelength of the counterfeit identification object is determined according to the optical characteristic data and the preset rule, the optimal counterfeit identification wavelength can be determined quickly, an optical image sensor which is in line with the optimal counterfeit identification wavelength can be selected to perform counterfeit identification on the counterfeit identification object, and the accuracy and reliability of the counterfeit identification based on the optical image sensor are improved.
The following is a detailed description of determining the optimal identification wavelength according to the acquired optical characteristic data in S120, which is described in the following five ways:
(1) determining a target anti-counterfeiting area on the counterfeit identification object; and determining the wavelength corresponding to the maximum value of the reflection intensity or the maximum value of the transmission intensity from the optical characteristic data of the target anti-counterfeiting area under each scanning wavelength as the optimal counterfeit identification wavelength.
The target anti-counterfeiting area can be an anti-counterfeiting area with obvious characteristics pre-selected from all anti-counterfeiting areas of the counterfeit object, and taking paper money as an example, an area with the number of 100 or an area with a portrait of an object can be selected; of course, the anti-counterfeiting area with the largest area may be selected, or randomly selected, which is not limited in the embodiment of the present invention. In this way, the optimal counterfeit discrimination wavelength is determined according to the target counterfeit prevention area, so that the counterfeit can be discriminated on the target counterfeit prevention area when the optical image sensor conforming to the optimal counterfeit discrimination wavelength is used to discriminate the corresponding counterfeit object subsequently.
The maximum reflection intensity or the maximum transmission intensity indicates that the corresponding area shows the strongest optical characteristic at the current scanning wavelength, and if an optical image sensor conforming to the scanning wavelength is used, the false identification precision is improved. In general, for uv and visible light, it is possible that the reflection characteristic is more pronounced than the transmission characteristic, so when selecting the wavelengths of uv and visible light, only the reflection characteristic may be considered; for infrared light, the possible transmission characteristics are more pronounced than the reflection characteristics, so that when choosing the wavelength of the infrared light, only the transmission characteristics may be considered. Illustratively, according to the method, when the wavelengths of ultraviolet light and visible light are selected, the maximum reflection intensity of the target anti-counterfeiting area can be used as the basis for selecting the optimal counterfeit identification wavelength; when the infrared wavelength is selected, the maximum transmission intensity of the target anti-counterfeiting area can be used as the basis for selecting the optimal counterfeit identification wavelength.
(2) Calculating the sum of the reflection intensities of all anti-counterfeiting areas on the counterfeit identification object at the scanning wavelength or the sum of the transmission intensities of all anti-counterfeiting areas at the scanning wavelength aiming at each scanning wavelength; and selecting the wavelength corresponding to the maximum value of the sum of the reflection intensities or the maximum value of the sum of the transmission intensities as the optimal discrimination wavelength.
The optical characteristics of all anti-counterfeiting areas are comprehensively considered in the mode, namely: and calculating the sum of the reflection intensities or the sum of the transmission intensities of all the anti-counterfeiting areas under the scanning wavelength A, calculating the sum of the reflection intensities or the sum of the transmission intensities of all the anti-counterfeiting areas under the scanning wavelength B, and the like.
In general, for uv and visible light, it is possible that the reflection characteristic is more pronounced than the transmission characteristic, so when selecting the wavelengths of uv and visible light, only the reflection characteristic may be considered; for infrared light, the possible transmission characteristics are more pronounced than the reflection characteristics, so that when choosing the wavelength of the infrared light, only the transmission characteristics may be considered. Illustratively, according to the method, when the wavelengths of ultraviolet light and visible light are selected, the maximum value of the sum of the reflection intensities of all anti-counterfeiting areas can be used as the basis for selecting the optimal counterfeit identification wavelength; when the infrared wavelength is selected, the maximum value of the sum of the transmission intensities of all anti-counterfeiting areas can be used as the basis for selecting the optimal counterfeit identification wavelength.
(3) Determining a target anti-counterfeiting area and a target non-anti-counterfeiting area on the counterfeit identification object; aiming at each scanning wavelength, calculating the reflection intensity ratio or the transmission intensity ratio of the target anti-counterfeiting area and the target non-anti-counterfeiting area under the scanning wavelength; and selecting the wavelength corresponding to the maximum value of the reflection intensity ratio or the maximum value of the transmission intensity ratio as the optimal discrimination wavelength.
The selection of the target anti-counterfeiting area is described in reference to the method (1), and is not described herein again. The target non-anti-counterfeiting area can be selected in advance, the selection mode can be random selection, or the non-anti-counterfeiting area with a larger area can be selected, and the embodiment of the invention is not limited to this.
In general, for uv and visible light, it is possible that the reflection characteristic is more pronounced than the transmission characteristic, so when selecting the wavelengths of uv and visible light, only the reflection characteristic may be considered; for infrared light, the possible transmission characteristics are more pronounced than the reflection characteristics, so that when choosing the wavelength of the infrared light, only the transmission characteristics may be considered. Illustratively, according to the method, when the wavelengths of ultraviolet light and visible light are selected, the maximum value of the ratio of the reflection intensities of the target anti-counterfeiting area and the target non-anti-counterfeiting area can be used as the basis for selecting the optimal identification wavelength; when the infrared wavelength is selected, the maximum value of the transmission intensity ratio of the target anti-counterfeiting area to the target non-anti-counterfeiting area can be used as the basis for selecting the optimal counterfeit identification wavelength.
(4) Calculating the sum of the reflection intensities of all anti-counterfeiting areas on the counterfeit identification object under the scanning wavelength and the sum of the reflection intensities of all non-anti-counterfeiting areas under the scanning wavelength aiming at each scanning wavelength; calculating the ratio of the sum of the reflection intensities of all the anti-counterfeiting areas under the scanning wavelength to the sum of the reflection intensities of all the non-anti-counterfeiting areas under the scanning wavelength; and selecting the wavelength corresponding to the maximum ratio as the optimal discrimination wavelength.
For example, according to the present embodiment, when the wavelengths of the ultraviolet light and the visible light are selected, the maximum value of the ratio of the sum of the reflection intensities in all the anti-counterfeiting areas to the sum of the reflection intensities in all the non-anti-counterfeiting areas may be used as the basis for selecting the optimal identification wavelength.
(5) Aiming at each scanning wavelength, calculating the sum of the transmission intensities of all anti-counterfeiting areas on the counterfeit identification object under the scanning wavelength and the sum of the transmission intensities of all non-anti-counterfeiting areas under the scanning wavelength; calculating the ratio of the sum of the transmission intensities of all anti-counterfeiting areas under the scanning wavelength to the sum of the transmission intensities of all non-anti-counterfeiting areas under the scanning wavelength; and selecting the wavelength corresponding to the maximum ratio as the optimal discrimination wavelength.
This mode is similar to mode (4), except that: the mode (4) is directed to the reflection characteristic, and the mode is directed to the transmission characteristic. For example, according to the present embodiment, when selecting the wavelength of infrared light, the maximum value of the ratio of the sum of the transmission intensities in all the anti-counterfeiting areas to the sum of the transmission intensities in all the non-anti-counterfeiting areas may be used as a basis for selecting the optimal identification wavelength.
The embodiment provides a plurality of preset rules for selecting the optimal discrimination wavelength, and the application is simple and convenient and flexible.
Example two
Fig. 2 is a schematic structural diagram of an authentication wavelength determining apparatus according to a second embodiment of the present invention, as shown in fig. 2, the apparatus includes:
a data acquiring module 210, configured to acquire optical characteristic data of the authentic identification object in a full wavelength band, where the optical characteristic data includes reflection data and transmission data of the authentic identification object at different scanning wavelengths;
a wavelength determining module 220, configured to determine an optimal counterfeit identifying wavelength of the counterfeit identifying object according to a preset rule according to the optical characteristic data.
Optionally, the data obtaining module 210 is specifically configured to: within a preset scanning wave band range, sequentially adjusting the scanning wavelength of a scanning instrument according to a preset scanning interval; and scanning the counterfeit identification object under each scanning wavelength by using the scanning instrument to obtain optical characteristic data of the counterfeit identification object under each scanning wavelength.
Optionally, the wavelength determining module 220 is specifically configured to: determining a target anti-counterfeiting area on the counterfeit identification object; and determining the wavelength corresponding to the maximum value of the reflection intensity or the maximum value of the transmission intensity from the optical characteristic data of the target anti-counterfeiting area under each scanning wavelength as the optimal counterfeit identification wavelength.
Optionally, the wavelength determining module 220 is specifically configured to: calculating the sum of the reflection intensities of all anti-counterfeiting areas on the counterfeit identification object at the scanning wavelength or the sum of the transmission intensities of all anti-counterfeiting areas at the scanning wavelength aiming at each scanning wavelength; and selecting the wavelength corresponding to the maximum value of the sum of the reflection intensities or the maximum value of the sum of the transmission intensities as the optimal discrimination wavelength.
Optionally, the wavelength determining module 220 is specifically configured to: determining a target anti-counterfeiting area and a target non-anti-counterfeiting area on the counterfeit identification object; aiming at each scanning wavelength, calculating the reflection intensity ratio or the transmission intensity ratio of the target anti-counterfeiting area and the target non-anti-counterfeiting area under the scanning wavelength; and selecting the wavelength corresponding to the maximum value of the reflection intensity ratio or the maximum value of the transmission intensity ratio as the optimal discrimination wavelength.
Optionally, the wavelength determining module 220 is specifically configured to: calculating the sum of the reflection intensities of all anti-counterfeiting areas on the counterfeit identification object under the scanning wavelength and the sum of the reflection intensities of all non-anti-counterfeiting areas under the scanning wavelength aiming at each scanning wavelength; calculating the ratio of the sum of the reflection intensities of all the anti-counterfeiting areas under the scanning wavelength to the sum of the reflection intensities of all the non-anti-counterfeiting areas under the scanning wavelength; and selecting the wavelength corresponding to the maximum ratio as the optimal discrimination wavelength.
Optionally, the wavelength determining module 220 is specifically configured to: aiming at each scanning wavelength, calculating the sum of the transmission intensities of all anti-counterfeiting areas on the counterfeit identification object under the scanning wavelength and the sum of the transmission intensities of all non-anti-counterfeiting areas under the scanning wavelength; calculating the ratio of the sum of the transmission intensities of all anti-counterfeiting areas under the scanning wavelength to the sum of the transmission intensities of all non-anti-counterfeiting areas under the scanning wavelength; and selecting the wavelength corresponding to the maximum ratio as the optimal discrimination wavelength.
The discrimination wavelength determining device provided by the embodiment of the invention can execute the discrimination wavelength determining method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the executing method. For details of the technique not described in detail in this embodiment, reference may be made to the method for determining the counterfeit identification wavelength according to any embodiment of the present invention.
EXAMPLE III
An embodiment of the present invention provides an apparatus, including:
one or more processors;
a memory for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a method of authenticating a wavelength as described in any embodiment of the invention.
Fig. 3 is a schematic structural diagram of an apparatus according to a third embodiment of the present invention. Fig. 3 illustrates a block diagram of an exemplary device 12 suitable for use in implementing embodiments of the present invention. The device 12 shown in fig. 3 is only an example and should not bring any limitations to the functionality and scope of use of the embodiments of the present invention.
As shown in FIG. 3, device 12 is in the form of a general purpose computing device. The components of device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30 and/or cache memory 32. Device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 3, and commonly referred to as a "hard drive"). Although not shown in FIG. 3, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. System memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in system memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
The device 12 may also communicate with one or more external devices 14 (e.g., a keyboard, a pointing device, a display 24, etc.). And may also communicate with one or more devices that enable a user to interact with the device 12, and/or with any devices (e.g., network cards, modems, etc.) that enable the device 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. Also, the device 12 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via the network adapter 20. As shown, the network adapter 20 communicates with the other modules of the device 12 via the bus 18. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 16 executes various functional applications and data processing by executing programs stored in the system memory 28, for example, to implement the method for determining the authentic wavelength provided by the embodiment of the present invention.
Example four
The fourth embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for determining an authentic wavelength according to any embodiment of the present invention.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (6)
1. A method for determining an authentic wavelength, comprising:
acquiring optical characteristic data of a counterfeit identification object in a full wave band, wherein the optical characteristic data comprises reflection data and/or transmission data of the counterfeit identification object at different scanning wavelengths;
determining the optimal counterfeit identification wavelength of the counterfeit identification object according to the optical characteristic data and a preset rule;
the acquiring of the optical characteristic data of the counterfeit identification object in the full wave band comprises the following steps:
within a preset scanning wave band range, sequentially adjusting the scanning wavelength of a scanning instrument according to a preset scanning interval;
scanning the counterfeit identification object by using the scanning instrument at each scanning wavelength to obtain optical characteristic data of the counterfeit identification object at each scanning wavelength;
the determining the optimal authentication wavelength of the authentication object according to the optical characteristic data and a preset rule comprises:
determining a target anti-counterfeiting area on the counterfeit identification object;
determining the wavelength corresponding to the maximum value of the reflection intensity or the maximum value of the transmission intensity from the optical characteristic data of the target anti-counterfeiting area under each scanning wavelength as the optimal counterfeit identification wavelength;
the determining the optimal authentication wavelength of the authentication object according to the optical characteristic data and a preset rule further comprises:
calculating the sum of the reflection intensities of all anti-counterfeiting areas on the counterfeit identification object at the scanning wavelength or the sum of the transmission intensities of all anti-counterfeiting areas at the scanning wavelength aiming at each scanning wavelength;
selecting the wavelength corresponding to the maximum value of the sum of the reflection intensities or the maximum value of the sum of the transmission intensities as the optimal discrimination wavelength;
the determining the optimal authentication wavelength of the authentication object according to the optical characteristic data and a preset rule comprises:
determining a target anti-counterfeiting area and a target non-anti-counterfeiting area on the counterfeit identification object;
aiming at each scanning wavelength, calculating the reflection intensity ratio or the transmission intensity ratio of the target anti-counterfeiting area and the target non-anti-counterfeiting area under the scanning wavelength;
and selecting the wavelength corresponding to the maximum value of the reflection intensity ratio or the maximum value of the transmission intensity ratio as the optimal discrimination wavelength.
2. The method of claim 1, wherein determining an optimal authentication wavelength of the authentication object according to a predetermined rule based on the optical characteristic data comprises:
calculating the sum of the reflection intensities of all anti-counterfeiting areas on the counterfeit identification object under the scanning wavelength and the sum of the reflection intensities of all non-anti-counterfeiting areas under the scanning wavelength aiming at each scanning wavelength;
calculating the ratio of the sum of the reflection intensities of all the anti-counterfeiting areas under the scanning wavelength to the sum of the reflection intensities of all the non-anti-counterfeiting areas under the scanning wavelength;
and selecting the wavelength corresponding to the maximum ratio as the optimal discrimination wavelength.
3. The method of claim 1, wherein determining an optimal authentication wavelength for the authentication object according to a predetermined rule based on the optical characteristic data comprises:
aiming at each scanning wavelength, calculating the sum of the transmission intensities of all anti-counterfeiting areas on the counterfeit identification object under the scanning wavelength and the sum of the transmission intensities of all non-anti-counterfeiting areas under the scanning wavelength;
calculating the ratio of the sum of the transmission intensities of all anti-counterfeiting areas under the scanning wavelength to the sum of the transmission intensities of all non-anti-counterfeiting areas under the scanning wavelength;
and selecting the wavelength corresponding to the maximum ratio as the optimal discrimination wavelength.
4. An authentic wavelength identification apparatus, comprising:
the data acquisition module is used for acquiring optical characteristic data of the counterfeit identification object in a full waveband, wherein the optical characteristic data comprises reflection data and/or transmission data of the counterfeit identification object at different scanning wavelengths;
the wavelength determining module is used for determining the optimal counterfeit identification wavelength of the counterfeit identification object according to the optical characteristic data and a preset rule;
the data acquisition module is specifically configured to: within a preset scanning wave band range, sequentially adjusting the scanning wavelength of a scanning instrument according to a preset scanning interval; scanning the counterfeit identification object by using the scanning instrument at each scanning wavelength to obtain optical characteristic data of the counterfeit identification object at each scanning wavelength;
the wavelength determination module is specifically configured to: determining a target anti-counterfeiting area on the counterfeit identification object; determining the wavelength corresponding to the maximum value of the reflection intensity or the maximum value of the transmission intensity from the optical characteristic data of the target anti-counterfeiting area under each scanning wavelength as the optimal counterfeit identification wavelength;
the wavelength determination module is specifically configured to: calculating the sum of the reflection intensities of all anti-counterfeiting areas on the counterfeit identification object at the scanning wavelength or the sum of the transmission intensities of all anti-counterfeiting areas at the scanning wavelength aiming at each scanning wavelength; selecting the wavelength corresponding to the maximum value of the sum of the reflection intensities or the maximum value of the sum of the transmission intensities as the optimal discrimination wavelength;
the wavelength determination module is specifically configured to: determining a target anti-counterfeiting area and a target non-anti-counterfeiting area on the counterfeit identification object; aiming at each scanning wavelength, calculating the reflection intensity ratio or the transmission intensity ratio of the target anti-counterfeiting area and the target non-anti-counterfeiting area under the scanning wavelength; and selecting the wavelength corresponding to the maximum value of the reflection intensity ratio or the maximum value of the transmission intensity ratio as the optimal discrimination wavelength.
5. An electronic device, comprising:
one or more processors;
a memory for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of determining an authentic wavelength according to any of claims 1-3.
6. A computer-readable storage medium having stored thereon a computer program, which when executed by a processor, performs the method of determining an authentic wavelength according to any of claims 1-3.
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| CN112419580A (en) * | 2020-10-27 | 2021-02-26 | 铁道警察学院 | Hyperspectral imaging-based banknote authenticity identification method |
| CN113959961B (en) * | 2021-12-22 | 2022-03-08 | 广东省农业科学院动物科学研究所 | Hyperspectral image-based tannin additive anti-counterfeiting detection method and system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH079675B2 (en) * | 1987-04-30 | 1995-02-01 | ロ−レルバンクマシン株式会社 | Double feed detecting device in bill counting machine |
| CN1453571A (en) * | 2002-04-22 | 2003-11-05 | 株式会社日立制作所 | Paper quality discriminating apparatus |
| CN1682250A (en) * | 2002-09-17 | 2005-10-12 | 德国捷德有限公司 | Banknotes testing and verification procedure and device |
| CN201984563U (en) * | 2010-11-19 | 2011-09-21 | 张健 | Double-display screen one-video analyzing and identification instrument |
| CN107331032A (en) * | 2017-07-11 | 2017-11-07 | 中央民族大学 | A kind of method of the identification note true and false |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11213201A (en) * | 1997-11-10 | 1999-08-06 | Laurel Bank Mach Co Ltd | Device for discriminating sheet |
| KR101333278B1 (en) * | 2004-03-09 | 2013-12-02 | 카운슬 오브 사이언티픽 앤드 인더스트리얼 리서치 | Improved fake currency detector using visual and reflective spectral response |
-
2018
- 2018-07-24 CN CN201810820865.0A patent/CN110853217B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH079675B2 (en) * | 1987-04-30 | 1995-02-01 | ロ−レルバンクマシン株式会社 | Double feed detecting device in bill counting machine |
| CN1453571A (en) * | 2002-04-22 | 2003-11-05 | 株式会社日立制作所 | Paper quality discriminating apparatus |
| CN1682250A (en) * | 2002-09-17 | 2005-10-12 | 德国捷德有限公司 | Banknotes testing and verification procedure and device |
| CN201984563U (en) * | 2010-11-19 | 2011-09-21 | 张健 | Double-display screen one-video analyzing and identification instrument |
| CN107331032A (en) * | 2017-07-11 | 2017-11-07 | 中央民族大学 | A kind of method of the identification note true and false |
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