WO2017133154A1 - 防伪图像的生成方法及装置 - Google Patents

防伪图像的生成方法及装置 Download PDF

Info

Publication number
WO2017133154A1
WO2017133154A1 PCT/CN2016/085539 CN2016085539W WO2017133154A1 WO 2017133154 A1 WO2017133154 A1 WO 2017133154A1 CN 2016085539 W CN2016085539 W CN 2016085539W WO 2017133154 A1 WO2017133154 A1 WO 2017133154A1
Authority
WO
WIPO (PCT)
Prior art keywords
bit
value
random variable
image
pseudo
Prior art date
Application number
PCT/CN2016/085539
Other languages
English (en)
French (fr)
Inventor
程烨
Original Assignee
程烨
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 程烨 filed Critical 程烨
Priority to JP2016575646A priority Critical patent/JP6381686B2/ja
Priority to KR1020177000341A priority patent/KR101901535B1/ko
Priority to US15/426,469 priority patent/US9972061B2/en
Publication of WO2017133154A1 publication Critical patent/WO2017133154A1/zh

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06KGRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K19/00Record carriers for use with machines and with at least a part designed to carry digital markings
    • G06K19/06Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
    • G06K19/06009Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code with optically detectable marking
    • G06K19/06046Constructional details
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06KGRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K19/00Record carriers for use with machines and with at least a part designed to carry digital markings
    • G06K19/06Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
    • G06K19/06009Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code with optically detectable marking
    • G06K19/06046Constructional details
    • G06K19/06056Constructional details the marking comprising a further embedded marking, e.g. a 1D bar code with the black bars containing a smaller sized coding
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06KGRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K19/00Record carriers for use with machines and with at least a part designed to carry digital markings
    • G06K19/06Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06KGRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K19/00Record carriers for use with machines and with at least a part designed to carry digital markings
    • G06K19/06Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
    • G06K19/06009Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code with optically detectable marking
    • G06K19/06037Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code with optically detectable marking multi-dimensional coding
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00General purpose image data processing
    • G06T1/0021Image watermarking
    • G06T1/0092Payload characteristic determination in a watermarking scheme, e.g. number of bits to be embedded

Definitions

  • Embodiments of the present invention relate to anti-counterfeiting technologies, for example, to a method and an apparatus for generating an anti-counterfeit image.
  • the anti-counterfeiting identification code in the related art has the disadvantages of being simple, easy to steal and easy to copy, and the two-dimensional code is usually not encrypted in the process of encoding, and the information in the two-dimensional code can be easily obtained by anyone, and the confidentiality is relatively better. low.
  • Embodiments of the present invention provide a method and an apparatus for generating an anti-counterfeit image, which are used to generate an anti-counterfeit image, and the image has the characteristics of high confidentiality.
  • an embodiment of the present invention provides a method for generating an anti-counterfeit image, where the method includes:
  • An image unit is drawn in the memory space according to a starting coordinate of the image unit in the to-be-generated anti-counterfeit image, and the completed image unit constitutes an anti-counterfeit image.
  • an embodiment of the present invention further provides an apparatus for generating an anti-counterfeit image, the apparatus comprising:
  • a setting module configured to determine, according to the set bit rule, the number of bits in the image unit of the anti-counterfeit image to be generated, the data point bits in the bit and the corresponding quantity, and the code point exists in the bit The number of data point bits, the code value bits included in the bit and the corresponding number, and the pseudo-random variable bits included in the bit and the corresponding number, wherein adjacent bits are closely arranged Together
  • the combined quantity calculation module is configured to determine the combined quantity of the bits according to the number of data point bits in the bit element and the number of data point bits in the bit element in which the code point exists;
  • a parameter obtaining module configured to obtain a width, a height, and an encoding value of the anti-counterfeit image to be generated, where the value range of the encoding value is a combination of the number of bits and the number of code value bits included in the bit Determining, and applying, according to the width and height of the anti-counterfeit image to be generated, a memory space for the anti-counterfeit image to be generated;
  • a code point determining module configured to determine, according to the coded value, a combined number of the bits, a number of code value bits included in the bit, and a number of pseudo random variable bits included in the bit , Determining the location of the code point within the bit;
  • a coordinate determining module configured to determine a starting coordinate of the image unit in the to-be-generated anti-counterfeiting image according to a set coordinate rule
  • the image drawing module is configured to draw an image unit in the memory space according to a starting coordinate of the image unit in the to-be-generated anti-counterfeit image, and the completed image unit constitutes an anti-counterfeiting image.
  • an embodiment of the present invention further provides a computer readable storage medium storing computer executable instructions, the computer executable instructions being configured to perform the foregoing method.
  • the disclosure provides a plurality of parameters for the anti-counterfeiting image generation, so that after generating a batch of anti-counterfeit images with the same parameters for the first user, one or more of the plurality of parameters may be changed to generate an anti-counterfeit image for the second user. Even if the first user knows the method of generating the security image, the setting parameter of the second user is not available, and the security image of the second user cannot be cracked, thereby improving the confidentiality of the security image.
  • FIG. 1 is a flowchart of a method for generating an anti-counterfeit image according to Embodiment 1 of the present invention
  • FIG. 2 is a flowchart of determining a position of a code point in a bit in a method for generating an anti-counterfeit image according to Embodiment 2 of the present invention
  • FIG. 3 is a schematic diagram of a value model of a pseudo random variable according to Embodiment 2 of the present invention.
  • FIG. 4 is a schematic structural diagram of an anti-counterfeiting image generating apparatus according to Embodiment 4 of the present invention.
  • FIG. 5 is a schematic structural diagram of hardware of a device according to Embodiment 4 of the present invention.
  • Embodiment 1 is a flowchart of a method for generating an anti-counterfeit image according to Embodiment 1 of the present invention.
  • the method of the embodiment is applicable to the generation of an anti-counterfeit image, and the method may be performed by an anti-counterfeit image generating device, and the device may be implemented by software and / or hardware implementation, the method includes:
  • S110 Determine, according to a set bit rule, a quantity of a bit element in an image unit to be generated of an anti-counterfeit image, a data point bit and a corresponding quantity in the bit element, and a data point position in which the code point exists in the bit element. a quantity, a code value bit and a corresponding quantity included in the bit, and a pseudo random variable bit included in the bit and a corresponding quantity, wherein adjacent bits are closely arranged together;
  • the data point is a plurality of location areas in the bit, and the data point is also a basic unit constituting the bit;
  • the bit includes one or more data points, the bit is a basic unit constituting the image unit;
  • the image unit includes One or more bits, the image unit is the basic unit constituting the anti-counterfeit image, and the area of the image unit is fixed;
  • the anti-counterfeit image is a digital anti-counterfeit image for the product, which is composed of one or more image units;
  • the code value bit is represented by The bit value of the code value, the code value bit may have one or more;
  • the pseudo random variable bit is a bit representing a pseudo random variable, and the pseudo random variable bit may also have one or more;
  • the pseudo random variable is for anti-counterfeiting
  • the image has a pseudo-random visual effect variable;
  • the code value is an acquired code value, and each code value corresponds to a different security image.
  • a code point may be set on the data point, and the code point may include a black code point or a gray code point of at least one gray value other than black, for example, may be a white code point or a gray value of 1- 254 gray code points of arbitrary gray values, so that the information capacity of the security image can be improved.
  • the bit contains one or more data points, optionally 7 data points.
  • the shape of the bit may be a square or a polygon, optionally a hexagon, to enhance the visual randomness of the security image.
  • the accuracy of the bit can be very high, and the number of pixels per inch is 600, which makes the anti-counterfeit image not easy to copy, further improving the confidentiality of the anti-counterfeit image.
  • the bit code may further include a positioning code point, and the number of the positioning code points is at least three, and may be distributed in different bit elements for positioning of the anti-counterfeit image.
  • an image unit contains 7 hexagonal bits, and the bit includes 7 data points, wherein the first bit has 3 data points and the code points are used for positioning, and the remaining four There is one black code point and three white code points on the data point.
  • the 7 data points in each of the other six bits contain 2 black code points and 5 white code points.
  • the first bit and two of the other six bits are used as pseudo-sliders
  • the machine variable bit is used to represent a pseudo-random variable, and the remaining four bits of the other six bits are used as code value bits to represent the code value.
  • the setting bit rule is not fixed, and the manufacturer or the user may set the bit rule, and according to the different setting rule, the corresponding bit in the image unit of the anti-counterfeit image to be generated
  • the number of elements, the number of data points in the bit and the corresponding number, the number of data point bits in which the code point exists, the code value bits included in the bit and the corresponding number, and The pseudo-random variable bits included in the bit and the corresponding number and other parameters are also different. A change in the parameter will change the combined number of bits, which in turn causes a change in the generated security image.
  • the number of combinations of the bits is the number of possible values of each bit, including the combined number of code value bits and the combined number of pseudo random variable bits. For example, continue to take 7 hexagonal bits in an image unit.
  • the first bit has 3 data points.
  • the code points are used for positioning.
  • the other four data points have a black bit. Code point three white code points, because the positioning code point is fixed, so the code point setting in the first bit can have 4 different combinations, that is, the first bit has 4 possible values, then
  • the number of combinations of the first digit is 4.
  • the 7 data points in each of the other six bits contain 2 black code points and 5 white code points.
  • the mathematical combination formula is used to calculate the code points in each bit. For different combinations, the number of combinations of each of the other six bits is 21.
  • the combined number of the current three pseudo-random variable bits is 4, 21, and 21, respectively.
  • the combined number of the remaining four code value bits in the other six bits is 21, 21, 21, and 21, respectively.
  • the calculation of the coded value may be a product of a combined number of each code value bit included in the image unit. For example, if there are four code value bits, the combined number of each code value bit is 21, the product of the combined number of each code value bit in the combined number of bits is 21*21*21*21, which is equal to 194481, and the coded value may be any one of 1-194481 or 0-194480. Value.
  • the width, height, and encoding value of the anti-counterfeit image can be obtained by the client acquiring the setting parameters of the user.
  • S140 Determine, according to the coded value, the combined number of the bits, the number of code value bits included in the bit, and the number of pseudorandom variable bits included in the bit, The location of the code point;
  • the position of the code point in the bit is the specific data point where the code point is located.
  • the location of the code point within the bit may be based on the coded value, the combined number of the bits, the number of code value bits included in the bit, and the pseudorandom variable bit included in the bit. The quantity is calculated and determined by the mapping relationship of the code points within the preset bit.
  • the setting coordinate rule may define a specific coordinate setting rule, and according to the set coordinate rule, a starting coordinate of each image unit in the anti-counterfeiting image to be generated may be determined.
  • the starting coordinate of the image unit is the coordinate of the vertex of the upper left corner of the image unit when the image unit is in the anti-counterfeit image.
  • Determining the initial coordinates of the image unit in the anti-counterfeit image to be generated may be: taking the coordinates of the origin of the anti-counterfeit image to be generated as the starting coordinates of the first image unit; the image unit according to the surrounding known starting coordinates And calculating a starting coordinate of the image unit other than the first image unit in the anti-counterfeit image to be generated.
  • the origin coordinate of the anti-counterfeit image is the coordinate of the top left vertex of the anti-counterfeit image.
  • the starting coordinates of the image unit may be determined line by line, the coordinates of the origin of the anti-counterfeit image to be generated are taken as the starting coordinates of the first image unit of the first row; then the start of the second image unit in the first row is determined Coordinates, optionally, determining that the image unit other than the first image unit is larger than the image unit and the image unit of the surrounding known starting coordinates when the starting coordinates in the anti-counterfeit image are to be generated Small and shape, calculated.
  • the origin coordinate of the anti-counterfeit image is the coordinate of the top left vertex of the anti-counterfeit image.
  • the image units are distributed line by line in the anti-counterfeit image, and the lines here may be parallel to the width or height of the anti-counterfeit image, or may not be parallel to the width or height of the anti-counterfeit image, and may be non-parallel, so that the confidentiality is higher.
  • the image unit may be drawn one by one, or all the image units in the anti-counterfeit image to be generated may be simultaneously drawn.
  • the drawing image unit may start from the upper left corner of the security image and draw the image unit one by one in the obliquely upper right direction.
  • various parameters are set for the anti-counterfeiting image generation according to the set bit rule, so that after generating a batch of anti-counterfeit images for the first user, the set bit rule can be changed. And changing the setting of one or more of the plurality of parameters to generate an anti-counterfeit image for the second user, so that even if the first user knows the method of generating the anti-counterfeit image, if there is no bit rule and setting parameter set by the second user The first user cannot crack the security image of the second user, thereby improving the confidentiality of the security image.
  • step S140 includes:
  • the combined number of the bits may include: a combined number of pseudo random variable bits and a combined number of code value bits.
  • the process of calculating the value of the code value bit in the image unit may be: calculating the code in the image unit according to the coded value, the combined number of the bits, and the number of code value bits included in the bit An initial value of the value bit; an initial value of the code value bit is added using an encryption algorithm Density, the value of the code value bit is obtained.
  • the process of calculating the initial value of the code value bit in the image unit may be: dividing the coded value by a product other than the first code value bit, and representing the combined quantity of the code value bit.
  • the resulting quotient is taken as the initial value of the first code value bit; the remainder is divided by the product of the number of combinations of other code value bits other than the first and second code value bits, The resulting quotient is taken as the initial value of the second code value bit; and so on, the initial value of each code value bit in the current picture unit is calculated.
  • the remainder b3 is taken as the initial value of the fourth code value bit.
  • the value range of the pseudo-random variable is the value range of the pseudo-random variable in the current image unit, and the value range of the pseudo-random variable is calculated from the product of the combined quantity of the pseudo-random variable bits in the combined number of all the bits of the current image unit. get. For example, there are 3 pseudo-random variable bits in the current image unit, the combined number of each pseudo-random variable bit is 4, 5, and 6, and the calculated 4*5*6 result is 120, then the pseudo-random variable of the current image unit The value range is 0-119.
  • S243 Determine, according to a value range of the pseudo random variable, a value template of a pseudo random variable of the image unit, such that a distance between two image units having a value of the same pseudo random variable is not less than a set number of image units. ;
  • the set number of image units may be more than one, the purpose is to make the distance between the two image units having the same pseudo-random variable value far apart, thereby reducing the repeatability between the image units, and further improving The security of anti-counterfeit images.
  • the pseudo-random variable has a value range of 0-26, and when the pseudo-random variable of the first image unit randomly generates a value of 0, the connection is performed.
  • the pseudo random variable of the image unit at the upper right of the first image unit is 1, the value of the pseudo random variable connecting the image unit below the first image unit is 17, and so on, and the pseudo random variable of other image units in the security image is calculated.
  • the pseudo random variable of the first image unit randomly generates a value of 19, and the value template of the pseudo random variable includes a plurality of 19, the diagonal upper right is started from the upper left of the value template of the pseudo random variable.
  • the line scan is based on the first found 19, the pseudo random variable connecting the image unit at the upper right of the first image unit is 20, and the value of the pseudo random variable connecting the image unit below the first image unit is 25, thereby
  • the pseudo-random variables of other image units in the anti-counterfeit image are calculated.
  • the pseudo random variable of the first image unit randomly generates a value of 3
  • the unconnected image unit of the upper right image unit of the pseudo random variable having the value of 3 is scanned on the value template, and then continues The value template is scanned line by line until a pixel unit with a pseudo random variable value of 3 is found, and the connected image unit is connected to the upper right side of the image unit. As shown in FIG.
  • the pseudo random variable 15 of the image unit is connected to the first image unit.
  • the process of calculating the value of the pseudo random variable bit in the image unit may be: using a verification algorithm generates a check value of the coded value; splicing the check value with a pseudo random variable represented by a pseudo random variable bit of the image unit to obtain a spliced value; according to the number of combinations of the bit The number of pseudo-random variable bits included in the bit element and the spliced value are calculated, and the value of the pseudo-random variable bit within the image unit is calculated. By adding a check value, the correctness of the decoding result can be ensured.
  • the process of calculating the value of the pseudo random variable bit in the image unit may be: generating a check value of the coded value by using a check algorithm; and expressing the check value and the pseudo random variable bit of the image unit Pseudo-random variables are spliced to obtain the spliced value; the spliced value is divided by the product of the number of combinations of the pseudo-random variable bits other than the first pseudo-random variable bit, and the obtained quotient is taken as the first pseudo The initial value of the random variable bit; the remainder is divided by the product of the number of combinations of the other pseudo-random variable bits except the first and second pseudo-random variable bits, and the resulting quotient is taken as the second The initial value of the pseudo-random variable bit; and so on, the initial value of each pseudo-random variable bit in the image unit is calculated.
  • the check value is set to 6 bits
  • the pseudo random variable is shifted to the left by 6 bits and then the check value is spliced to the pseudo random variable.
  • the splicing value is generated, and the splicing value /(21*4) is obtained as the initial value of the first pseudo random variable bit, the remainder is b4, and the quotient obtained by b4/4 is taken as the second pseudo random variable bit.
  • the initial value of the element, the remainder b5 is taken as the initial value of the third pseudo-random variable bit.
  • the value of the bit is a specific value
  • the code point is set as the distribution of the code point in each data point in the bit
  • the mapping relationship between the value of the bit and the code point is the value of the bit and The relationship of the code point is associated with the relationship.
  • the mapping relationship between the value of the bit and the code point may be: when the value of the bit is 1, the distribution of the 7 code points in the corresponding bit may be: the data point of the black code point is located at the middle position. The remaining six white code points are set at six data points uniformly distributed around the center position.
  • the application of the pseudo-random variable value template makes the pseudo-random variable determined by the pseudo-random variable value template low in repetition, so that the regularity of the generated anti-counterfeit image is not obvious. Thereby improving the confidentiality of the security image.
  • the third embodiment of the present invention provides an anti-counterfeit image generating method.
  • the embodiment is an alternative according to the foregoing implementation, and the method includes:
  • the value template of the pseudo random variable of the image unit is determined such that the distance between the two image units having the same pseudo random variable value is not less than the set number of image units;
  • the width and height are used to apply for a memory space for the anti-counterfeit image to be generated, and finally the coded value is calculated by a check algorithm to obtain a check value;
  • the machine If the current image unit is the first image unit, within the range of values of the pseudo-random variable, The machine generates a value and uses the value as a pseudo-random variable represented by a pseudo-random variable bit in the first image unit; if the current image unit is not the first image, determining the current value according to the value template of the pseudo-random variable a pseudo-random variable represented by a pseudo-random variable bit of the image unit;
  • the coordinates of the origin of the anti-counterfeit image to be generated are taken as the starting coordinates of the current image unit; if the current image unit is not the first image unit, according to the surrounding known starting coordinates An image unit that calculates a starting coordinate of the current image unit in the anti-counterfeit image to be generated;
  • the technical solution of the embodiment further improves the confidentiality of the security image by verifying the coded value by using a check algorithm and encrypting the calculated initial value of the bit.
  • FIG. 4 is a schematic structural diagram of an anti-counterfeit image generating apparatus according to Embodiment 4 of the present invention.
  • This embodiment is an anti-counterfeiting image generating apparatus according to the foregoing embodiment, and the apparatus includes: a setting module 10, The combined quantity calculation module 20, the parameter acquisition module 30, the code point determination module 40, the coordinate determination module 50, and the image rendering module 60.
  • the setting module 10 is configured to determine, according to the set bit rule, the number of bits in the image unit of the anti-counterfeit image to be generated, the data point in the bit and the corresponding quantity, and the presence in the bit The number of data point bits of the code point, the code value bit and the corresponding quantity included in the bit, and the pseudo random variable bit and the corresponding quantity included in the bit, wherein the adjacent bit Tightly arranged together;
  • the combined quantity calculation module 20 is configured to determine the combined quantity of the bits according to the number of data point bits in the bit element and the number of data point bits in the bit element in which the code point exists;
  • parameter acquisition The module 30 is configured to obtain a width, a high, and an encoded value of the anti-counterfeit image to be generated, wherein the value range of the encoded value is determined by a combined number of the bits and a number of code value bits included in the bit, And applying, according to the width and height of the anti-counterfeit image to be generated, a memory space for the
  • one or more of the plurality of parameters may be changed.
  • the two users generate the anti-counterfeit image, so that even if the first user knows the method of generating the anti-counterfeit image, without the setting parameter of the second user, the anti-counterfeit image of the second user cannot be cracked, thereby improving the confidentiality of the anti-counterfeit image.
  • the code point location determining module 40 may include: a code value bit calculation unit, and a value domain.
  • the code value bit calculation unit is configured to calculate a code value bit in the image unit according to the coded value, the combined number of the bit elements, and the number of code value bits included in the bit element.
  • a value range calculating unit configured to calculate a value range of the pseudo random variable represented by the pseudo random variable bit according to the combined number of the bit elements and the number of pseudo random variable bits included in the bit element;
  • a value template setting unit configured to determine a value template of the pseudo random variable of the image unit according to a value range of the pseudo random variable, such that a distance between two image units having a value of the same pseudo random variable is not less than a predetermined number of image units;
  • a pseudo-random variable determining unit configured to randomly generate a value within a range of values of the pseudo-random variable, the value being a pseudo-random variable represented by a pseudo-random variable bit in the first image unit Determining a pseudo-random variable represented by a pseudo-random variable bit of the image unit other than the first image unit
  • the value of the code point position determining unit is set to determine the value in the bit unit according to the value of the code value bit in the image unit, the value of the pseudo random variable bit element, and the mapping relationship between the value of the bit element and the code point. The location of the code point.
  • the code value bit calculation unit may include: an initial value calculator and an encryptor.
  • the initial value calculator is configured to calculate an initial value of the code value bit in the image unit according to the coded value, the combined number of the bits, and the number of code value bits included in the bit element;
  • the encryptor is configured to encrypt the initial value of the code value bit by using an encryption algorithm to obtain a value of the code value bit.
  • the pseudo random variable calculation unit may include: a checker, a splicer, and a pseudo random variable bit cell calculator.
  • the checker is configured to generate a check value of the coded value by using a check algorithm; the splicer is configured to splicing the check value with a pseudo-random variable represented by a pseudo-random variable bit of the image unit to obtain a splicing a pseudo-random variable bit calculator is set to be based on the number of combinations of the bits, the bit The number of pseudo-random variable bits included in the element and the spliced value, and the value of the pseudo-random variable bit within the image unit is calculated.
  • the coordinate determining module 50 may include: a starting coordinate determining unit and a starting coordinate calculating unit.
  • the starting coordinate determining unit is configured to set the coordinates of the origin of the anti-counterfeit image to be the starting coordinates of the first image unit; and the starting coordinate calculating unit is configured to calculate the image unit according to the surrounding known starting coordinates. The starting coordinates of the image unit other than the first image unit in the security image to be generated.
  • the shape of the bit may be a hexagon.
  • the bit has an accuracy of 600 pixels per inch.
  • the code point may include a black code point or a gray code point of at least one gray value other than black.
  • the above products may perform the methods provided by any of the embodiments of the present disclosure.
  • Embodiments of the present disclosure also provide a storage medium storing computer-executable instructions configured to perform any of the above-described methods of generating an anti-counterfeit image.
  • the present disclosure can be implemented by software and necessary general hardware, and of course, can also be implemented by hardware.
  • the technical solution of the embodiment of the present invention may be embodied in the form of a software product, which may be stored in a computer readable storage medium, such as a computer floppy disk or a read-only memory (Read-Only Memory, ROM). ), random access memory (RAM), flash memory (FLASH), hard disk or optical disk, etc., including instructions for causing a computer device (which may be a personal computer, server, or network device, etc.) to perform the practice of the present invention The method described in the example.
  • the included units and modules are only divided according to functional logic, but are not limited to the foregoing division, as long as the corresponding The functions may be used; in addition, the names of the functional units are only for convenience of distinction from each other, and do not limit the scope of protection of the present disclosure.
  • the embodiment of the invention further provides a hardware structure diagram of a device for executing a method for generating an anti-counterfeit image.
  • the device includes:
  • One or more processors 70, one processor 70 is taken as an example in FIG. 5;
  • the apparatus may also include an input device 72 and an output device 73.
  • the processor 70, the memory 71, the input device 72, and the output device 73 in the device may be connected by a bus or other means, and the bus connection is taken as an example in FIG.
  • the memory 71 is a computer readable storage medium and can be used to store a software program, a computer executable program, and a program instruction/module corresponding to the method for generating an anti-counterfeit image in the embodiment of the present invention.
  • the processor 70 executes the function application and the data processing of the server by running the software program, the instruction and the module stored in the memory 71, that is, the method for generating the anti-counterfeit image in the above method embodiment.
  • the memory 71 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application required for at least one function; the storage data area may store data created according to usage of the terminal device, and the like. Further, the memory 71 may include a high speed random access memory, and may also include a nonvolatile memory such as at least one magnetic disk storage device, flash memory device, or other nonvolatile solid state storage device. In some examples, memory 71 can include memory remotely located relative to processor 70, which can be connected to the terminal device over a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.
  • Input device 72 can be arranged to receive input numeric or character information and to generate key signal inputs related to user settings and function control of the terminal.
  • the output device 73 may include a display device such as a display screen.
  • the one or more modules are stored in the memory 71 when the one or more When the processor 70 is executed, any of the above-described methods of generating an anti-counterfeit image can be executed.

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Editing Of Facsimile Originals (AREA)
  • Credit Cards Or The Like (AREA)
  • Image Processing (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)

Abstract

一种防伪图像的生成方法及装置。所述方法包括:按照设定位元规则,确定相关参数;根据所述参数确定位元的组合数量;获取待生成防伪图像的宽、高及编码数值,并根据所述待生成防伪图像的宽和高为所述待生成防伪图像申请内存空间;根据所述参数,确定位元内的码点的位置;按照设定坐标规则,确定图像单元在所述待生成防伪图像中的起始坐标;根据图像单元在所述待生成防伪图像中的起始坐标,在所述内存空间中绘制图像单元,绘制完成的图像单元组成防伪图像。

Description

防伪图像的生成方法及装置 技术领域
本发明实施例涉及防伪技术,例如涉及一种防伪图像的生成方法及装置。
背景技术
随着计算机的普及和保密技术的提高,防伪技术也向数字化迈进。数字防伪技术产品的产生是基于防伪的主体即消费者,只有让消费者能够简单、方便地识别商品的真假,才能起到保护品牌,打击假冒的目的。目前已有的数字防伪是通过在每个产品上粘贴防伪标识物,每个标识物中含有一个唯一的防伪识别码,所有这些防伪识别码都保存在数据库服务器中,消费者购买商品后,可以通过手机或网络校验该码的真伪,并将校验结果即时反馈给消费者。随着二维码应用的普及,二维码也被印刷于产品上作为防伪识别码,消费者通过扫描二维码实现信息的认证。
但是,相关技术中的防伪标识码具有简单、易窃取和易复制的缺点,而二维码在编码的过程中通常没有进行加密,二维码中的信息可以被任何人轻易获取,保密性较低。
发明内容
本发明实施例提供一种防伪图像的生成方法及装置,用于生成防伪图像,该图像具有保密性高的特点。
第一方面,本发明实施例提供了一种防伪图像的生成方法,该方法包括:
按照设定位元规则,确定待生成防伪图像的图像单元中的位元的数量、所述位元中的数据点位及相应的数量、所述位元中存在码点的数据点位的数量、所述位元中包括的码值位元及相应的数量、以及所述位元中包括的伪随机变量 位元及相应的数量,其中,相邻的位元紧密排列在一起;
根据所述位元中的数据点位的数量、和所述位元中存在码点的数据点位的数量,确定位元的组合数量;
获取待生成防伪图像的宽、高及编码数值,其中所述编码数值的取值范围由所述位元的组合数量和所述位元中包括的码值位元的数量确定,根据所述待生成防伪图像的宽和高为所述待生成防伪图像申请内存空间;
根据所述编码数值、所述位元的组合数量、所述位元中包括的码值位元的数量、以及所述位元中包括的伪随机变量位元的数量,确定位元内的码点的位置;
按照设定坐标规则,确定图像单元在所述待生成防伪图像中的起始坐标;
根据图像单元在所述待生成防伪图像中的起始坐标,在所述内存空间中绘制图像单元,绘制完成的图像单元组成防伪图像。
第二方面,本发明实施例还提供了一种防伪图像的生成装置,该装置包括:
设定模块,设置为按照设定位元规则,确定待生成防伪图像的图像单元中的位元的数量、所述位元中的数据点位及相应的数量、所述位元中存在码点的数据点位的数量、所述位元中包括的码值位元及相应的数量、以及所述位元中包括的伪随机变量位元及相应的数量,其中,相邻的位元紧密排列在一起;
组合数量计算模块,设置为根据所述位元中的数据点位的数量、和所述位元中存在码点的数据点位的数量,确定位元的组合数量;
参数获取模块,设置为获取待生成防伪图像的宽、高及编码数值,其中所述编码数值的取值范围由所述位元的组合数量和所述位元中包括的码值位元的数量确定,并根据所述待生成防伪图像的宽和高为所述待生成防伪图像申请内存空间;
码点确定模块,设置为根据所述编码数值、所述位元的组合数量、所述位元中包括的码值位元的数量、以及所述位元中包括的伪随机变量位元的数量, 确定位元内的码点的位置;
坐标确定模块,设置为按照设定坐标规则,确定图像单元在所述待生成防伪图像中的起始坐标;
图像绘制模块,设置为根据图像单元在所述待生成防伪图像中的起始坐标,在所述内存空间中绘制图像单元,绘制完成的图像单元组成防伪图像。
第三方面,本发明实施例还提供一种计算机可读存储介质,存储有计算机可执行指令,所述计算机可执行指令设置为执行上述方法。
本公开对防伪图像生成进行多种参数的设置,使得在为第一用户生成一批参数相同的防伪图像后,可以改变多种参数中的一种或多种,为第二用户生成防伪图像,使得即使第一用户知道防伪图像的生成方法,但没有第二用户的设置参数,也是无法破解第二用户的防伪图像,从而提高了防伪图像的保密性。
附图说明
图1是本发明实施例一提供的一种防伪图像的生成方法的流程图;
图2是本发明实施例二提供的一种防伪图像的生成方法中的确定位元内码点的位置的流程图;
图3是本发明实施例二提供的伪随机变量的取值摸板的示意图;
图4是本发明实施例四提供的一种防伪图像生成装置的结构示意图;
图5是本发明实施例四提供的一种设备的硬件结构示意图。
具体实施方式
下面结合附图和实施例对本公开作进一步的详细说明。可以理解的是,此处所描述的具体实施例并非对本公开的限定。
实施例一
图1是本发明实施例一提供的一种防伪图像的生成方法的流程图,本实施例方法可适用于防伪图像的生成,该方法可以由防伪图像的生成装置执行,该装置可以通过软件和/或硬件的方式实现,该方法包括:
S110、按照设定位元规则,确定待生成防伪图像的图像单元中的位元的数量、所述位元中的数据点位及相应的数量、所述位元中存在码点的数据点位的数量、所述位元中包括的码值位元及相应的数量、以及所述位元中包括的伪随机变量位元及相应的数量,其中,相邻的位元紧密排列在一起;
其中,数据点位为位元中的多个位置区域,数据点位也是构成位元的基本单位;位元包括一个或多个数据点位,位元为构成图像单元的基本单位;图像单元包括一个或多个位元,图像单元为构成防伪图像的基本单位,图像单元的面积固定;防伪图像为用于产品的数字防伪的图像,由一个或多个图像单元组成;码值位元为表示码值的位元,码值位元可以有一个或多个;伪随机变量位元为表示伪随机变量的位元,伪随机变量位元同样可以有一个或多个;伪随机变量为使防伪图像具有伪随机视觉效果的变量;码值为获取的一个编码数值,每个编码数值对应一种不同的防伪图像。可选的,数据点位上可以设置码点,码点可以包括黑色码点或除黑色以外的至少一种灰度值的灰度码点,例如可以是白色码点或灰度值为1-254任意灰度值的灰度码点,从而可以提高防伪图像的信息容量。位元内包含一个或多个数据点位,可选为7个数据点位。位元的形状可以是正方形,也可以是多边形,可选是六边形,以增强防伪图像的视觉随机性。位元的精度可以很高,可选为每英寸像素点数为600,使得防伪图像不容易复制,进一步提高防伪图像的保密性。位元中还可以包括定位码点,定位码点的数量为至少3个,可以分布在不同的位元中,用于防伪图像的定位。例如,一个图像单元中包含7个六边形位元,位元中包括7个数据点位,其中第一个位元有3个数据点位上的码点是用来定位的,其余四个数据点位上存在一个黑色码点三个白色码点。另外六个位元的每个位元中的7个数据点位上包含2个黑色码点和5个白色码点。其中,第一个位元和另外六个位元中的其中两个位元作为伪随 机变量位元,用来表示伪随机变量,另外六个位元中剩余的四个位元作为码值位元,用来表示码值。
可选的,所述设定位元规则并非固定不变的,厂家或用户可以对位元规则进行设定,根据设定位元规则的不同,对应的待生成防伪图像的图像单元中的位元的数量、所述位元中的数据点位及相应的数量、所述位元中存在码点的数据点位的数量、所述位元中包括的码值位元及相应的数量、以及所述位元中包括的伪随机变量位元及相应的数量等参数,也是不同的。所述参数的变化,将会改变位元的组合数量,进而引起所生成的防伪图像的变化。
S120、根据所述位元中的数据点位的数量、和所述位元中存在码点的数据点位的数量,确定位元的组合数量;
其中,位元的组合数量为每个位元的可能取值的个数,包括码值位元的组合数量和伪随机变量位元的组合数量。例如,继续以一个图像单元中包含7个六边形位元为例,第一个位元有3个数据点位上的码点是用来定位的,其余四个数据点位上存在一个黑色码点三个白色码点,因为定位码点是固定的,所以第一个位元中码点的设置可以有4种不同的组合,即第一个位元有4种可能的取值,则第一位元的组合数量为4。另外六个位元的每个位元中的7个数据点位上包含2个黑色码点和5个白色码点,利用数学组合公式计算,每个位元中码点的设置可以有21种不同的组合,则另外六个位元中每个位元的组合数量为21。又因为第一位元和另外六个位元中的其中两个位元为伪随机变量位元,则当前三个伪随机变量位元的组合数量分别为4、21和21。另外六个位元中剩余的四个码值位元的组合数量分别为21、21、21和21。
S130、获取待生成防伪图像的宽、高及编码数值,其中所述编码数值的取值范围由所述位元的组合数量和所述位元中包括的码值位元的数量确定,根据所述待生成防伪图像的宽和高为所述待生成防伪图像申请内存空间;
可选的,所述编码数值的计算可以是:图像单元所包含的每个码值位元的组合数量的乘积。例如,如果有四个码值位元,每个码值位元的组合数量均为 21,则位元的组合数量中的每个码值位元的组合数量的乘积为21*21*21*21,等于194481,所述编码数值可以取1-194481或0-194480中的任意一个数值。
所述防伪图像的宽、高及编码数值可以通过客户端获取用户的设置参数得到。
S140、根据所述编码数值、所述位元的组合数量、所述位元中包括的码值位元的数量、以及所述位元中包括的伪随机变量位元的数量,确定位元内的码点的位置;
其中,位元内码点的位置为码点所在的具体数据点位。位元内码点的位置可以根据所述编码数值、所述位元的组合数量、所述位元中包括的码值位元的数量、以及所述位元中包括的伪随机变量位元的数量进行计算,并结合预设的位元内码点的映射关系确定。
S150、按照设定坐标规则,确定图像单元在所述待生成防伪图像中的起始坐标;
可选的,设定坐标规则可以定义具体的坐标设定规则,根据该设定坐标规则可以确定每个图像单元在待生成防伪图像中的起始坐标。
其中,图像单元的起始坐标为图像单元在防伪图像中时,图像单元左上角顶点的坐标。确定图像单元在所述待生成防伪图像中的起始坐标的过程可以是:将待生成防伪图像的原点的坐标作为第一个图像单元的起始坐标;根据周围已知起始坐标的图像单元,计算所述第一个图像单元以外的图像单元在待生成防伪图像中的起始坐标。其中,防伪图像的原点坐标为防伪图像左上方顶点的坐标。
可以逐行的确定图像单元的起始坐标,将待生成防伪图像的原点的坐标作为第一行第一个图像单元的起始坐标;然后确定该第一行中第二个图像单元的起始坐标,可选的,确定所述第一个图像单元以外的图像单元在待生成防伪图像中的起始坐标时可以根据周围已知起始坐标的图像单元、图像单元的具体大 小及形状,计算得到。其中,防伪图像的原点坐标为防伪图像左上方顶点的坐标。图像单元在防伪图像中是逐行分布的,这里的行可以与防伪图像的宽或高平行,也可以不与防伪图像的宽或高平行,可选是不平行的,这样保密性更高。
S160、根据图像单元在所述待生成防伪图像中的起始坐标,在所述内存空间中绘制图像单元,绘制完成的图像单元组成防伪图像。
根据图像单元在所述待生成防伪图像中的起始坐标,可以逐个绘制图像单元,也可以同时绘制待生成防伪图像中的所有图像单元。
可选的,绘制图像单元可以从防伪图像的左上角顶点开始,按照斜向右上方的方向逐一绘制图像单元。
本实施例的技术方案,根据所设定的位元规则,对防伪图像生成进行多种参数的设置,使得在为第一用户生成一批防伪图像后,可以通过改变所设定的位元规则,进而改变多种参数中的一种或多种的设置,为第二用户生成防伪图像,实现即使第一用户知道防伪图像的生成方法,如果没有第二用户设定的位元规则及设置参数,则第一用户无法破解第二用户的防伪图像,从而提高了防伪图像的保密性。
实施例二
图2是本发明实施例二提供的一种防伪图像的生成方法中的确定位元内码点的位置的流程图,本实施例方法在实施例一的基础上对步骤S140进一步优化,该方法中的步骤S140可选的包括:
S241、根据所述编码数值、所述位元的组合数量、以及所述位元中包括的码值位元的数量,计算图像单元内的码值位元的值;
其中,所述位元的组合数量可以包括:伪随机变量位元的组合数量和码值位元的组合数量。计算图像单元内的码值位元的值的过程可以是:根据所述编码数值、所述位元的组合数量以及所述位元中包括的码值位元的数量,计算图像单元内的码值位元的初始值;对所述码值位元的初始值利用加密算法进行加 密,得到所述码值位元的值。
可选的,计算图像单元内的码值位元的初始值的过程可以是:将编码数值除以,除第一个码值位元以外的,其他表示码值位元的组合数量的乘积,将得到的商作为第一个码值位元的初始值;将得到的余数除以,除第一个和第二个码值位元以外的,其他码值位元的组合数量的乘积,将得到的商作为第二个码值位元的初始值;以此类推,计算当前图像单元中的各个码值位元的初始值。
例如,继续以上述的一个图像单元中包含7个六边形位元为例,将输入的编码数值/(21*21*21),得到的商作为第一个码值位元的初始值,余数为b1,b1/(21*21)的到的商作为第二个码值的位元的初始值,余数为b2,b2/21得到的商作为第三个码值位元的初始值,余数b3作为第四个码值位元的初始值。
S242、根据所述位元的组合数量、及所述位元中包括的伪随机变量位元的数量,计算伪随机变量位元表示的伪随机变量的值域;
其中,伪随机变量的值域为当前图像单元中伪随机变量的取值范围,伪随机变量的值域由当前图像单元全部位元的组合数量中伪随机变量位元的组合数量的乘积,计算得到。例如,当前图像单元中有3个伪随机变量位元,每个伪随机变量位元的组合数量为4、5和6,计算4*5*6结果为120,则当前图像单元的伪随机变量的值域为0-119。
S243、根据所述伪随机变量的值域,确定图像单元的伪随机变量的取值模板,使得具有相同伪随机变量的值的两个图像单元之间的距离不小于设定个数的图像单元;
其中,设定的个数的图像单元可以是一个多个,目的是使得具有相同伪随机变量的值的两个图像单元之间隔较远的距离,从而降低图像单元之间的重复性,进一步提高防伪图像的保密性。
S244、在所述伪随机变量的值域内,随机产生数值,所述数值作为第一个图像单元中的伪随机变量位元表示的伪随机变量;根据伪随机变量的取值模板, 确定所述第一个图像单元以外的图像单元的伪随机变量位元表示的伪随机变量;
例如,如图3所示为伪随机变量的取值摸板的示意图,所述伪随机变量的值域为0-26,当第一图像单元的伪随机变量随机产生的值为0,则连接第一图像单元右上方的图像单元的伪随机变量为1,连接第一图像单元下方的图像单元的伪随机变量的值为17,以此类推,计算防伪图像中其他图像单元的伪随机变量。当第一图像单元的伪随机变量随机产生的值为19,此时伪随机变量的取值模板中包含多个19,则根据从伪随机变量的取值模板的左上方开始斜向右上方逐行扫描,以第一个找到的19为准,连接第一图像单元右上方的图像单元的伪随机变量为20,连接第一图像单元下方的图像单元的伪随机变量的值为25,以此类推,计算防伪图像中其他图像单元的伪随机变量。当第一图像单元的伪随机变量随机产生的值为3,此时首先在所述取值模板上扫描到伪随机变量取值为3的图像单元的右上方无连接的图像单元,则继续在取值模板上逐行扫描,直到找到伪随机变量取值为3的图像单元右上方有连接的图像单元,如图3所示,则将该图像单元的伪随机变量15作为连接第一图像单元右上方的图像单元的伪随机变量,那么连接第一图像单元下方的图像单元的伪随机变量的值为20,以此类推,计算防伪图像中其他图像单元的伪随机变量。
S245、根据所述位元的组合数量、所述位元中包括的伪随机变量位元的数量和图像单元的伪随机变量位元表示的伪随机变量,计算图像单元内的伪随机变量位元的值;
将伪随机变量位元的值除以,除第一个伪随机变量位元以外的,其他表示伪随机变量位元的组合数量的乘积,将得到的商作为第一个伪随机变量位元的值;将得到的余数除以,除第一个和第二个伪随机变量位元以外的,其他伪随机变量位元的组合数量的乘积,将得到的商作为第二伪随机变量位元的值;以此类推,计算图像单元中各个伪随机变量位元的值。
其中,计算图像单元内的伪随机变量位元的值的过程可选的可以是:利用 校验算法生成所述编码数值的校验值;将所述校验值与图像单元的伪随机变量位元表示的伪随机变量进行拼接,得到拼接值;根据所述位元的组合数量、所述位元中包括的伪随机变量位元的数量和所述拼接值,计算图像单元内的伪随机变量位元的值。通过增加校验值,可以确保解码结果的正确性。
其中,计算图像单元内的伪随机变量位元的值的过程可以是:利用校验算法生成所述编码数值的校验值;将所述校验值与图像单元的伪随机变量位元表示的伪随机变量进行拼接,得到拼接值;将拼接值除以,除第一个伪随机变量位元以外的,其他表示伪随机变量位元的组合数量的乘积,将得到的商作为第一个伪随机变量位元的初始值;将得到的余数除以,除第一个和第二个伪随机变量位元以外的,其他伪随机变量位元的组合数量的乘积,将得到的商作为第二伪随机变量位元的初始值;以此类推,计算图像单元中各个伪随机变量位元的初始值。
例如,继续以一个图像单元中包含7个六边形位元为例,因为设定校验值为6比特,所以将伪随机变量左移6位后将校验值拼接至伪随机变量的后6位中,生成拼接值,将拼接值/(21*4)得到商作为第一个伪随机变量位元的初始值,余数为b4,b4/4得到的商作为第二个伪随机变量位元的初始值,余数b5作为第三个伪随机变量位元的初始值。
S246、根据图像单元内的码值位元的值、伪随机变量位元的值,以及位元的值与码点的设定映射关系,确定位元内的码点的位置。
其中,位元的值为具体的数值,码点的设定为码点在位元中各个数据点位上的分布,位元的值与码点的设定映射关系就是将位元的值与码点的设定关联之后的关系。例如,位元的值与码点的设定映射关系可以是,当位元的值为1时,对应位元内7个码点的分布可以是:黑色码点位于中间位置的数据点位上,其余6个白色码点设置在围绕中心位置均匀分布的6个数据点位上。
本实施例技术方案,通过伪随机变量取值模板的应用,使得通过伪随机变量取值模板确定的伪随机变量重复性低,使得所生成防伪图像的规律性不明显, 从而提高防伪图像的保密性。
实施例三
本发明实施例三提供了一种防伪图像生成方法,本实施例是在上述实施的基础上,提出的一种可选方案,该方法包括:
按照设定位元规则,确定待生成防伪图像的图像单元中的位元的数量、所述位元中的数据点位及相应的数量、所述位元中存在码点的数据点位的数量、所述位元中包括的码值位元及相应的数量以及所述位元中包括的伪随机变量位元及相应的数量,其中,相邻的位元紧密排列在一起;
根据所述位元中的数据点位的数量、所述位元中存在码点的数据点位的数量,确定位元的组合数量;其中,位元的组合数量包括:码值位元的组合数量和伪随机变量位元的组合数量;
根据所述位元的组合数量中的码值位元的组合数量和伪随机变量位元的组合数量,分别计算码值的值域和伪随机变量的值域,并根据所述伪随机变量的值域,确定图像单元的伪随机变量的取值模板,使得具有相同伪随机变量的值的两个图像单元之间的距离不小于设定个数的图像单元;
根据码值的值域提示用户在码值的值域内确定一个数值,作为编码数值,并获取用户输入的待生成防伪图像的宽、高及所述编码数值,然后根据所述待生成防伪图像的宽和高为所述待生成防伪图像申请内存空间,最后将编码数值通过校验算法计算,得到校验值;
将编码数值除以,除第一个码值位元以外的,其他表示码值位元的组合数量的乘积,将得到的商作为第一个码值位元的初始值;将得到的余数除以,除第一个和第二个码值位元以外的,其他码值位元的组合数量的乘积,将得到的商作为第二个码值位元的初始值;以此类推,计算当前图像单元中的各个码值位元的初始值;
如果当前图像单元是第一个图像单元,则在所述伪随机变量的值域内,随 机产生数值,并将所述数值作为第一个图像单元中的伪随机变量位元表示的伪随机变量;如果当前图像单元不是第一个图像,则根据伪随机变量的取值模板,确定当前图像单元的伪随机变量位元表示的伪随机变量;
将所述校验值与图像单元的伪随机变量位元表示的伪随机变量进行拼接,得到拼接值;将拼接值除以,除第一个伪随机变量位元以外的,其他表示伪随机变量位元的组合数量的乘积,将得到的商作为第一个伪随机变量位元的初始值;将得到的余数除以,除第一个和第二个伪随机变量位元以外的,其他伪随机变量位元的组合数量的乘积,将得到的商作为第二个伪随机变量位元的初始值;以此类推,计算当前图像单元中各个伪随机变量位元的初始值;
对计算得到的当前图像单元中各个伪随机变量位元和码值位元的初始值,利用加密算法进行加密,得到伪随机变量位元和码值位元的加密值;
根据伪随机变量位元和码值位元的加密值与码点的设定映射关系,确定当前图像单元内位元中的码点的位置,其中当前图像单元内位元由码值位元和伪随机变量位元构成;
如果当前图像单元为第一个图像单元,则将待生成防伪图像的原点的坐标作为当前图像单元的起始坐标;如果当前图像单元不是第一个图像单元,则根据周围已知起始坐标的图像单元,计算所述当前图像单元在待生成防伪图像中的起始坐标;
根据当前图像单元内位元中的码点的位置和在待生成防伪图像中的起始坐标绘制当前图像单元,判断当前行中的非第一个图像单元的全部像素是否都在防伪图像区域外,如果是,则表明当前行已绘制完成,需切换至下一行,如果否,继续在当前行绘制图像单元;当当前行的所有图像单元都在防伪图像区域外时,表明整个防伪图像绘制完成。
本实施例技术方案通过将编码数值利用校验算法进行校验,并对计算得到的位元的初始值进行加密,从而进一步提高了防伪图像的保密性。
实施例四
图4是本发明实施例四提供的一种防伪图像生成装置的结构示意图,本实施例是在上述实施例的基础上,提出的一种防伪图像生成装置,该装置包括:设定模块10、组合数量计算模块20、参数获取模块30、码点确定模块40、坐标确定模块50和图像绘制模块60。
其中,设定模块10设置为按照设定位元规则,确定待生成防伪图像的图像单元中的位元的数量、所述位元中的数据点位及相应的数量、所述位元中存在码点的数据点位的数量、所述位元中包括的码值位元及相应的数量、以及所述位元中包括的伪随机变量位元及相应的数量,其中,相邻的位元紧密排列在一起;组合数量计算模块20设置为根据所述位元中的数据点位的数量、和所述位元中存在码点的数据点位的数量,确定位元的组合数量;参数获取模块30设置为获取待生成防伪图像的宽、高及编码数值,其中所述编码数值的取值范围由所述位元的组合数量和所述位元中包括的码值位元的数量确定,根据所述待生成防伪图像的宽和高为所述待生成防伪图像申请内存空间;码点确定模块40设置为根据所述编码数值、所述位元的组合数量、所述位元中包括的码值位元的数量、以及所述位元中包括的伪随机变量位元的数量,确定位元内的码点的位置;坐标确定模块50设置为按照设定坐标规则,确定图像单元在所述待生成防伪图像中的起始坐标;图像绘制模块60设置为根据图像单元在所述待生成防伪图像中的起始坐标,在所述内存空间中绘制图像单元,绘制完成的图像单元组成防伪图像。
本实施例的技术方案,通过对防伪图像生成进行多种参数的设置,使得在为第一用户生成一批参数相同的防伪图像后,可以改变多种参数中的一种或多种,为第二用户生成防伪图像,使得即使第一用户知道防伪图像的生成方法,但没有第二用户的设置参数,也是无法破解第二用户的防伪图像,从而提高了防伪图像的保密性。
可选的,所述码点位置确定模块40,可以包括:码值位元计算单元、值域 计算单元、取值模板设定单元、伪随机变量确定单元、伪随机变量计算单元和码点位置确定单元。
其中,码值位元计算单元,设置为根据所述编码数值、所述位元的组合数量、以及所述位元中包括的码值位元的数量,计算图像单元内的码值位元的值;值域计算单元,设置为根据所述位元的组合数量、及所述位元中包括的伪随机变量位元的数量,计算伪随机变量位元表示的伪随机变量的值域;取值模板设定单元,设置为根据所述伪随机变量的值域,确定图像单元的伪随机变量的取值模板,使得具有相同伪随机变量的值的两个图像单元之间的距离不小于设定个数的图像单元;伪随机变量确定单元,设置为在所述伪随机变量的值域内,随机产生数值,所述数值作为第一个图像单元中的伪随机变量位元表示的伪随机变量;根据伪随机变量的取值模板,确定所述第一个图像单元以外的图像单元的伪随机变量位元表示的伪随机变量;伪随机变量计算单元,设置为根据所述位元的组合数量、所述位元中包括的伪随机变量位元的数量和图像单元的伪随机变量位元表示的伪随机变量,计算图像单元内的伪随机变量位元的值;码点位置确定单元,设置为根据图像单元内的码值位元的值、伪随机变量位元的值、以及位元的值与码点的设定映射关系,确定位元内的码点的位置。
可选的,所述码值位元计算单元,可以包括:初始值计算器和加密器。
其中,初始值计算器,设置为根据所述编码数值、所述位元的组合数量、所述位元中包括的码值位元的数量,计算图像单元内的码值位元的初始值;加密器,设置为对所述码值位元的初始值利用加密算法进行加密,得到所述码值位元的值。
可选的,所述伪随机变量计算单元,可以包括:校验器、拼接器和伪随机变量位元计算器。
其中,校验器设置为利用校验算法生成所述编码数值的校验值;拼接器设置为将所述校验值与图像单元的伪随机变量位元表示的伪随机变量进行拼接,得到拼接值;伪随机变量位元计算器设置为根据所述位元的组合数量、所述位 元中包括的伪随机变量位元的数量和所述拼接值,计算图像单元内的伪随机变量位元的值。
可选的,所述坐标确定模块50可以包括:起始坐标确定单元和起始坐标计算单元。
其中,起始坐标确定单元设置为将待生成防伪图像的原点的坐标作为第一个图像单元的起始坐标;起始坐标计算单元设置为根据周围已知起始坐标的图像单元,计算所述第一个图像单元以外的图像单元在待生成防伪图像中的起始坐标。
可选的,所述位元的形状可以为六边形。
可选的,所述位元的精度为每英寸像素点数可以为600。
可选的,所述码点可以包括黑色码点或除黑色以外的至少一种灰度值的灰度码点。
上述产品可执行本公开任意实施例所提供的方法。
本公开的实施例还提供了一种存储介质,存储有计算机可执行指令,所述计算机可执行指令设置为执行上述任一项防伪图像的生成方法。
通过以上关于实施方式的描述,所属领域的技术人员可以清楚地了解到,本公开可借助软件及必需的通用硬件来实现,当然也可以通过硬件实现。基于这样的理解,本发明实施例的技术方案可以以软件产品的形式体现出来,该计算机软件产品可以存储在计算机可读存储介质中,如计算机的软盘、只读存储器(Read-Only Memory,ROM)、随机存取存储器(Random Access Memory,RAM)、闪存(FLASH)、硬盘或光盘等,包括指令用以使得一台计算机设备(可以是个人计算机,服务器,或者网络设备等)执行本发明实施例所述的方法。
值得注意的是,上述内存访问处理装置的实施例中,所包括的单元和模块只是按照功能逻辑进行划分的,但并不局限于上述的划分,只要能够实现相应 的功能即可;另外,功能单元的名称也只是为了便于相互区分,并不限制本公开的保护范围。
本发明实施例还提供了一种执行防伪图像的生成方法的设备的硬件结构示意图。参见图5,该设备包括:
一个或者多个处理器70,图5中以一个处理器70为例;
存储器71。
所述设备还可以包括:输入装置72和输出装置73。所述设备中的处理器70、存储器71、输入装置72和输出装置73可以通过总线或其他方式连接,图5中以通过总线连接为例。
存储器71作为一种计算机可读存储介质,可用于存储软件程序、计算机可执行程序,如本发明实施例中的防伪图像的生成方法对应的程序指令/模块。处理器70通过运行存储在存储器71中的软件程序、指令以及模块,从而执行服务器的功能应用以及数据处理,即实现上述方法实施例中的防伪图像的生成方法。
存储器71可包括存储程序区和存储数据区,其中,存储程序区可存储操作系统、至少一个功能所需的应用程序;存储数据区可存储根据终端设备的使用所创建的数据等。此外,存储器71可以包括高速随机存取存储器,还可以包括非易失性存储器,例如至少一个磁盘存储器件、闪存器件、或其他非易失性固态存储器件。在一些实例中,存储器71可包括相对于处理器70远程设置的存储器,这些远程存储器可以通过网络连接至终端设备。上述网络的实例包括但不限于互联网、企业内部网、局域网、移动通信网及其组合。
输入装置72可设置为接收输入的数字或字符信息,以及产生与终端的用户设置以及功能控制有关的键信号输入。输出装置73可包括显示屏等显示设备。
所述一个或者多个模块存储在所述存储器71中,当被所述一个或者多个处 理器70执行时,可以执行上述任一项防伪图像的生成方法。
以上仅为本公开的可选实施例,并非因此限制本公开的专利范围。

Claims (11)

  1. 一种防伪图像生成方法,包括:
    按照设定位元规则,确定待生成防伪图像的图像单元中的位元的数量、所述位元中的数据点位及相应的数量、所述位元中存在码点的数据点位的数量、所述位元中包括的码值位元及相应的数量、以及所述位元中包括的伪随机变量位元及相应的数量,其中,相邻的位元紧密排列在一起;
    根据所述位元中的数据点位的数量、和所述位元中存在码点的数据点位的数量,确定位元的组合数量;
    获取待生成防伪图像的宽、高及编码数值,其中所述编码数值的取值范围由所述位元的组合数量和所述位元中包括的码值位元的数量确定,根据所述待生成防伪图像的宽和高为所述待生成防伪图像申请内存空间;
    根据所述编码数值、所述位元的组合数量、所述位元中包括的码值位元的数量、以及所述位元中包括的伪随机变量位元的数量,确定位元内的码点的位置;
    按照设定坐标规则,确定图像单元在所述待生成防伪图像中的起始坐标;
    根据图像单元在所述待生成防伪图像中的起始坐标,在所述内存空间中绘制图像单元,绘制完成的图像单元组成防伪图像。
  2. 根据权利要求1所述的方法,其中,所述根据所述编码数值、所述位元的组合数量、所述位元中包括的码值位元的数量、以及所述位元中包括的伪随机变量位元的数量,确定位元内的码点的位置,包括:
    根据所述编码数值、所述位元的组合数量、以及所述位元中包括的码值位元的数量,计算图像单元内的码值位元的值;
    根据所述位元的组合数量、及所述位元中包括的伪随机变量位元的数量,计算伪随机变量位元表示的伪随机变量的值域;
    根据所述伪随机变量的值域,确定图像单元的伪随机变量的取值模板,使得具有相同伪随机变量的值的两个图像单元之间的距离不小于设定个数的图像单元;
    在所述伪随机变量的值域内,随机产生数值,所述数值作为第一个图像单元中的伪随机变量位元表示的伪随机变量;根据伪随机变量的取值模板,确定所述第一个图像单元以外的图像单元的伪随机变量位元表示的伪随机变量;
    根据所述位元的组合数量、所述位元中包括的伪随机变量位元的数量和图像单元的伪随机变量位元表示的伪随机变量,计算图像单元内的伪随机变量位元的值;
    根据图像单元内的码值位元的值、伪随机变量位元的值、以及位元的值与码点的设定映射关系,确定位元内的码点的位置。
  3. 根据权利要求2所述的方法,其中,所述根据所述编码数值、所述位元的组合数量、以及所述位元中包括的码值位元的数量,计算图像单元内的码值位元的值,包括:
    根据所述编码数值、所述位元的组合数量、以及所述位元中包括的码值位元的数量,计算图像单元内的码值位元的初始值;
    对所述码值位元的初始值利用加密算法进行加密,得到所述码值位元的值。
  4. 根据权利要求2所述的方法,其中,所述根据所述位元的组合数量、所述位元中包括的伪随机变量位元的数量和图像单元的伪随机变量位元表示的伪 随机变量,计算图像单元内的伪随机变量位元的值,包括:
    利用校验算法生成所述编码数值的校验值;
    将所述校验值与图像单元的伪随机变量位元表示的伪随机变量进行拼接,得到拼接值;
    根据所述位元的组合数量、所述位元中包括的伪随机变量位元的数量和所述拼接值,计算图像单元内的伪随机变量位元的值。
  5. 根据权利要求1所述的方法,其中,所述按照设定坐标规则,确定图像单元在所述待生成防伪图像中的起始坐标包括:
    将待生成防伪图像的原点的坐标作为第一个图像单元的起始坐标;
    根据周围已知起始坐标的图像单元,计算所述第一个图像单元以外的图像单元在待生成防伪图像中的起始坐标。
  6. 一种防伪图像生成装置,包括:
    设定模块,设置为按照设定位元规则,确定待生成防伪图像的图像单元中的位元的数量、所述位元中的数据点位及相应的数量、所述位元中存在码点的数据点位的数量、所述位元中包括的码值位元及相应的数量、以及所述位元中包括的伪随机变量位元及相应的数量,其中,相邻的位元紧密排列在一起;
    组合数量计算模块,设置为根据所述位元中的数据点位的数量、和所述位元中存在码点的数据点位的数量,确定位元的组合数量;
    参数获取模块,设置为获取待生成防伪图像的宽、高及编码数值,其中所述编码数值的取值范围由所述位元的组合数量和所述位元中包括的码值位元的 数量确定,根据所述待生成防伪图像的宽和高为所述待生成防伪图像申请内存空间;
    码点确定模块,设置为根据所述编码数值、所述位元的组合数量、所述位元中包括的码值位元的数量、以及所述位元中包括的伪随机变量位元的数量,确定位元内的码点的位置;
    坐标确定模块,设置为按照设定坐标规则,确定图像单元在所述待生成防伪图像中的起始坐标;
    图像绘制模块,设置为根据图像单元在所述待生成防伪图像中的起始坐标,在所述内存空间中绘制图像单元,绘制完成的图像单元组成防伪图像。
  7. 根据权利要求6所述的装置,其中,所述码点位置确定模块,包括:
    码值位元计算单元,设置为根据所述编码数值、所述位元的组合数量、以及所述位元中包括的码值位元的数量,计算图像单元内的码值位元的值;
    值域计算单元,设置为根据所述位元的组合数量、及所述位元中包括的伪随机变量位元的数量,计算伪随机变量位元表示的伪随机变量的值域;
    取值模板设定单元,设置为根据所述伪随机变量的值域,确定图像单元的伪随机变量的取值模板,使得具有相同伪随机变量的值的两个图像单元之间的距离不小于设定个数的图像单元;
    伪随机变量确定单元,设置为在所述伪随机变量的值域内,随机产生数值,所述数值作为第一个图像单元中的伪随机变量位元表示的伪随机变量;根据伪随机变量的取值模板,确定所述第一个图像单元以外的图像单元的伪随机变量位元表示的伪随机变量;
    伪随机变量计算单元,设置为根据所述位元的组合数量、所述位元中包括的伪随机变量位元的数量和图像单元的伪随机变量位元表示的伪随机变量,计算图像单元内的伪随机变量位元的值;
    码点位置确定单元,设置为根据图像单元内的码值位元的值、伪随机变量位元的值、以及位元的值与码点的设定映射关系,确定位元内的码点的位置。
  8. 根据权利要求7所述的装置,其中,所述码值位元计算单元,包括:
    初始值计算器,设置为根据所述编码数值、所述位元的组合数量以及所述位元中包括的码值位元的数量,计算图像单元内的码值位元的初始值;
    加密器,设置为对所述码值位元的初始值利用加密算法进行加密,得到所述码值位元的值。
  9. 根据权利要求7所述的装置,其中,所述伪随机变量计算单元,包括:
    校验器,设置为利用校验算法生成所述编码数值的校验值;
    拼接器,设置为将所述校验值与图像单元的伪随机变量位元表示的伪随机变量进行拼接,得到拼接值;
    伪随机变量位元计算器,设置为根据所述位元的组合数量、所述位元中包括的伪随机变量位元的数量和所述拼接值,计算图像单元内的伪随机变量位元的值。
  10. 根据权利要求6所述的装置,其中,所述坐标确定模块包括:
    起始坐标确定单元,设置为将待生成防伪图像的原点的坐标作为第一个图像单元的起始坐标;
    起始坐标计算单元,设置为根据周围已知起始坐标的图像单元,计算所述第一个图像单元以外的图像单元在待生成防伪图像中的起始坐标。
  11. 一种计算机可读存储介质,存储有计算机可执行指令,所述计算机可执行指令设置为执行权利要求1-5任一项的方法。
PCT/CN2016/085539 2016-02-02 2016-06-13 防伪图像的生成方法及装置 WO2017133154A1 (zh)

Priority Applications (3)

Application Number Priority Date Filing Date Title
JP2016575646A JP6381686B2 (ja) 2016-02-02 2016-06-13 偽造防止画像の生成方法及び装置
KR1020177000341A KR101901535B1 (ko) 2016-02-02 2016-06-13 위조 방지 이미지의 생성 방법 및 장치
US15/426,469 US9972061B2 (en) 2016-02-02 2017-02-07 Method and apparatus for generating anti-forgery image

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201610074759.3 2016-02-02
CN201610074759.3A CN105760915B (zh) 2016-02-02 2016-02-02 一种防伪图像的生成方法及装置

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US15/426,469 Continuation US9972061B2 (en) 2016-02-02 2017-02-07 Method and apparatus for generating anti-forgery image

Publications (1)

Publication Number Publication Date
WO2017133154A1 true WO2017133154A1 (zh) 2017-08-10

Family

ID=56329987

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2016/085539 WO2017133154A1 (zh) 2016-02-02 2016-06-13 防伪图像的生成方法及装置

Country Status (4)

Country Link
JP (1) JP6381686B2 (zh)
KR (1) KR101901535B1 (zh)
CN (1) CN105760915B (zh)
WO (1) WO2017133154A1 (zh)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115860033A (zh) * 2023-01-31 2023-03-28 北京微点科学技术有限公司 可分级鉴伪的彩色分区微点码标识的防伪方法和装置

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110533017B (zh) * 2019-09-04 2021-01-29 程烨 鉴伪方法、装置、终端及存储介质
CN110909843B (zh) * 2019-11-21 2021-05-14 程烨 编码图像塑型的方法、装置、服务器和存储介质
CN111340166A (zh) * 2020-03-18 2020-06-26 中科星图(深圳)数字技术产业研发中心有限公司 生成唯一识别图的方法

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1971591A (zh) * 2005-11-24 2007-05-30 佳能株式会社 二维代码,以及用于检测二维代码的方法和设备
US20120024956A1 (en) * 2010-04-23 2012-02-02 Cheng Uei Precision Industry Co., Ltd Qr code having hidden codes and methods of forming and identifying the hidden codes
CN102622626A (zh) * 2011-12-26 2012-08-01 华南理工大学 二维码以及该二维码的识别方法
CN103761798A (zh) * 2014-01-07 2014-04-30 立德高科(北京)数码科技有限责任公司 多维防伪信息图码算法规则及防伪信息数据的识别方法
CN103824197A (zh) * 2014-03-10 2014-05-28 上海理工大学 防伪码生成装置

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001283167A (ja) * 2000-04-03 2001-10-12 Asahi Business Assist:Kk 二次元コードによる個別識別方法、ハイブリット型個人認証システムおよびオフライン本人確認システム
EP1907987A4 (en) * 2005-07-25 2010-11-10 Silverbrook Res Pty Ltd PRODUCT ARTICLE HAVING A CODE IDENTIFICATION IMPLANTATION
CN101295358A (zh) * 2007-04-24 2008-10-29 北京中富利泰科技发展有限公司 一种用定位自纠错码埋藏计算机信息数据方法
CN101923632B (zh) * 2010-06-01 2013-03-27 福建新大陆电脑股份有限公司 Maxi Code条码解码芯片及其解码方法
CN104395912B (zh) * 2012-07-19 2019-03-08 惠普印迪戈股份公司 安全特征
CN105279539A (zh) * 2014-06-07 2016-01-27 王树敏 点阵式二维码编码与解码

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1971591A (zh) * 2005-11-24 2007-05-30 佳能株式会社 二维代码,以及用于检测二维代码的方法和设备
US20120024956A1 (en) * 2010-04-23 2012-02-02 Cheng Uei Precision Industry Co., Ltd Qr code having hidden codes and methods of forming and identifying the hidden codes
CN102622626A (zh) * 2011-12-26 2012-08-01 华南理工大学 二维码以及该二维码的识别方法
CN103761798A (zh) * 2014-01-07 2014-04-30 立德高科(北京)数码科技有限责任公司 多维防伪信息图码算法规则及防伪信息数据的识别方法
CN103824197A (zh) * 2014-03-10 2014-05-28 上海理工大学 防伪码生成装置

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115860033A (zh) * 2023-01-31 2023-03-28 北京微点科学技术有限公司 可分级鉴伪的彩色分区微点码标识的防伪方法和装置
CN115860033B (zh) * 2023-01-31 2023-05-16 北京微点科学技术有限公司 可分级鉴伪的彩色分区微点码标识的防伪方法和装置

Also Published As

Publication number Publication date
KR20180101700A (ko) 2018-09-13
CN105760915A (zh) 2016-07-13
JP6381686B2 (ja) 2018-08-29
KR101901535B1 (ko) 2018-09-21
CN105760915B (zh) 2018-08-24
JP2018508798A (ja) 2018-03-29

Similar Documents

Publication Publication Date Title
TWI718567B (zh) 二維碼生成方法、資料處理方法、裝置、伺服器及計算機可讀儲存媒體
Li et al. Asymmetric multiple-image encryption based on the cascaded fractional Fourier transform
WO2017133154A1 (zh) 防伪图像的生成方法及装置
EP3035587B1 (en) Hypersphere-based multivariable public key signature/verification system and method
CN105227317B (zh) 一种支持认证器隐私的云数据完整性检测方法和系统
Gao et al. Chaotic image encryption algorithm based on zigzag transform with bidirectional crossover from random position
CN108833117B (zh) 一种私钥存储和读取方法、装置及硬件设备
US8817977B2 (en) Method for generating a digital signature
CN109936456B (zh) 基于私钥池的抗量子计算数字签名方法和系统
US9613327B2 (en) Adapting an incremental information object
Wang et al. 2D barcodes for visual cryptography
US10817596B2 (en) Image based authentication code method, server, and authentication code system
JP2006311477A (ja) 同種写像ベースの署名の生成および検証のためのシステムおよび方法
Mohan et al. Secure visual cryptography scheme with meaningful shares
CN116541872B (zh) 数据信息安全传输方法和系统
JP2012123426A (ja) 暗号化方法用の楕円曲線を求める方法
CN109657487B (zh) 图像处理方法、图像验证方法及其装置
US9087252B2 (en) Grayscale incremental information object
WO2020057389A1 (zh) 一种签名验证方法、装置、电子设备及可读存储介质
CN115603900A (zh) 基于密码学承诺的公平竞标方法、装置及存储介质
CN115511030A (zh) 防伪验证方法、装置和电子设备
WO2018233700A1 (zh) 图像处理方法、终端及存储介质
US20180012329A1 (en) Image data encryption and rendering system
US9972061B2 (en) Method and apparatus for generating anti-forgery image
Joshi Session passwords using grids and colors for web applications and PDA

Legal Events

Date Code Title Description
ENP Entry into the national phase

Ref document number: 2016575646

Country of ref document: JP

Kind code of ref document: A

ENP Entry into the national phase

Ref document number: 20177000341

Country of ref document: KR

Kind code of ref document: A

121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 16888975

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 23/11/2018)

122 Ep: pct application non-entry in european phase

Ref document number: 16888975

Country of ref document: EP

Kind code of ref document: A1