CN111950317A - Microcosmic coded image extraction device and method for identifying authenticity after image extraction - Google Patents
Microcosmic coded image extraction device and method for identifying authenticity after image extraction Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 23
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- 238000003384 imaging method Methods 0.000 claims abstract description 24
- 238000001514 detection method Methods 0.000 claims abstract description 12
- 230000003287 optical effect Effects 0.000 claims description 16
- 230000002093 peripheral effect Effects 0.000 claims description 4
- 239000011159 matrix material Substances 0.000 claims description 2
- 230000015572 biosynthetic process Effects 0.000 claims 2
- 230000031700 light absorption Effects 0.000 abstract description 2
- 239000002184 metal Substances 0.000 description 16
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- 238000004519 manufacturing process Methods 0.000 description 2
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- 238000007906 compression Methods 0.000 description 1
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- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
- G06K7/1404—Methods for optical code recognition
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- G06K19/00—Record carriers for use with machines and with at least a part designed to carry digital markings
- G06K19/06—Record 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
- G06K19/06009—Record 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
- G06K19/06046—Constructional details
- G06K19/06121—Constructional details the marking having been punched or cut out, e.g. a barcode machined in a metal work-piece
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K19/00—Record carriers for use with machines and with at least a part designed to carry digital markings
- G06K19/06—Record 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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
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- H—ELECTRICITY
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- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/50—Constructional details
- H04N23/55—Optical parts specially adapted for electronic image sensors; Mounting thereof
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- H—ELECTRICITY
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
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Abstract
The embodiment of the invention discloses a microcoded image extraction device and a method for identifying authenticity after extracting microcoded images, wherein the device comprises a shell and an imaging device, the shell comprises at least two opposite side walls and a top wall connected with the at least two side walls, one side of the shell opposite to the top wall is provided with a detection opening, the at least two side walls are provided with light sources, the inner side of the top wall is provided with a light absorption layer, the top wall is provided with an imaging opening, and a lens of the imaging device is fixed on the imaging opening and faces the detection opening. According to the technical scheme of the embodiment of the invention, the light emitted by the light source is controlled to irradiate the plane to be extracted and is reflected to the imaging device to extract the microcoded image, so that the authenticity of the microcoded image can be more accurately identified.
Description
Technical Field
The embodiment of the invention relates to a microcoded image technology, in particular to a microcoded image extraction device and a method for identifying authenticity after extracting microcoded images.
Background
The microcoded image may be a minute image composed of a plurality of dots arranged in a certain rule, and the image may be extracted and decoded by a dedicated device. Usually, ink is printed on the surface of a medium such as a paper film to form a coded image, the ink absorbs light with a specific wavelength emitted by special equipment, the rest areas reflect the light, a camera is used for capturing the image, dark spots are formed in the image at the position with the ink, and the image of the microscopic coded image is obtained.
The concave-convex microcosmic coding image of the metal reflecting surface can be formed by a laser engraving method. Carving the points on the metal reflecting surface by laser to form concave points; if the code points are engraved on the die by laser, the die-cast target metal surface can form salient points by a die-casting process.
The concave-convex microcosmic coding image of the metal reflecting surface consists of a plurality of code points, and each code point is a concave point or a convex point. Each code point microscopically has the reflective characteristics of a concave mirror or a convex mirror. The periphery of the code point is a plane and has the light reflecting characteristic of a plane mirror.
The concave mirror has an optical characteristic of reflecting, condensing and diffusing light incident in parallel, and the convex mirror has an optical characteristic of reflecting and diffusing light incident in parallel.
Such optical characteristics are different from the common microscopic code image formed by attaching light-absorbing ink to the surface of a commodity or an outer package (the light is absorbed at the position with ink dots, and dark dots appear in the obtained image), and a special device is required to be designed to better extract the code image.
When the metal reflecting surface is engraved by laser, the size of the engraved point can be controlled by controlling parameters such as the intensity of the laser, and the like, but it is difficult to forge the same microcoded image to the metal reflecting surface, and particularly when the same microcoded image contains multiple code point sizes, it becomes more difficult to restore all the code point sizes. In order to correctly identify the authenticity of the concave-convex microcoded image on the metal reflective surface, a more real image and a proper algorithm need to be acquired.
Disclosure of Invention
The embodiment of the invention provides a microcosmic coded image extraction device and a method for identifying authenticity after extracting microcosmic coded images, so as to better extract concave-convex microcosmic coded images on a metal reflective surface and identify authenticity of the concave-convex microcosmic coded images, and thus, the purposes of tracing and identifying authenticity are achieved.
In a first aspect, an embodiment of the present invention provides a microcoded image extraction device, including a housing and an imaging device, where the housing includes at least two opposite side walls and a top wall connecting the at least two side walls, a detection opening is disposed on one side of the housing opposite to the top wall, a light source is disposed on the at least two side walls, a light absorption layer is disposed on an inner side of the top wall, an imaging opening is disposed on the top wall, and a lens of the imaging device is fixed to the imaging opening and disposed facing the detection opening.
Optionally, the number of the side walls is 4-8.
Optionally, the included angle between the side wall and the top wall is greater than 90 degrees.
Optionally, the light source is a surface light source or a light source matrix disposed on the sidewall.
Optionally, the imaging device includes an optical lens and an image sensor;
and the optical lens collects the light reflected back after the light source irradiates the detection opening, and the light is mapped to the image sensor to form a microcoded image.
In a second aspect, an embodiment of the present invention further provides a method for identifying authenticity after extracting a micro-coded image, including:
emitting light rays at a first angle to irradiate a surface to be detected, wherein the surface to be detected comprises a plurality of convex points or concave points which are arranged at intervals;
the imaging device shoots the surface to be detected at a second angle to obtain a microcoded image, wherein the microcoded image comprises a plurality of bright spots corresponding to the salient points or the concave points;
and judging the authenticity of the surface to be detected according to the microcosmic coded image and a preset standard microcosmic coded image.
Optionally, the determining whether the surface to be detected is true or false according to the microscopic coding image and a preset standard microscopic coding image includes:
acquiring position information and size information of all bright spots in the microcosmic coded image;
judging whether the position information of all the bright spots is matched with the position relation of a preset standard microcosmic coded image or not;
if yes, confirming that the corresponding microcosmic coding image unit is found;
confirming the size grades of all bright spots of the microcosmic coding image unit according to a preset rule, wherein the bright spot of each size grade corresponds to a size range;
judging whether the average value of the sizes of all the bright spots of each size grade is in a preset range or not;
if so, further judging whether the number of the bright spots exceeding the size range of the bright spots preset by the corresponding size grade in the bright spots of each size grade is within the preset required range;
and if so, confirming that the microcosmic coded image is a real image.
Optionally, the acquiring the position information and the size information of all the bright spots in the microscopic coding image includes:
acquiring the brightness value of each pixel in the microcosmic coded image;
and calculating the ratio of the brightness value of each pixel to the brightness values of the peripheral pixels to confirm the position information and the size information of each bright point.
According to the technical scheme of the embodiment of the invention, the light emitted by the light source is controlled to irradiate the plane to be extracted and is reflected to the imaging device to extract the microcoded image, so that the authenticity of the microcoded image can be more accurately identified.
Drawings
FIG. 1 is a schematic diagram of a microcoded image extraction device according to a first embodiment of the present invention;
fig. 2 is a schematic diagram of an apparatus for optical path when a certain reflective point on a plane to be extracted is a plane in a first embodiment of the present invention;
fig. 3 is a schematic diagram of an apparatus for an optical path when a reflection point on a plane to be extracted is a concave point according to a first embodiment of the present invention;
FIG. 4 is a schematic flow chart of a method for identifying authenticity after extracting a micro-coded image according to a second embodiment of the present invention;
FIG. 5 is a schematic diagram of a micro-coded image unit according to a second 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.
Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the steps as a sequential process, many of the steps can be performed in parallel, concurrently or simultaneously. In addition, the order of the steps may be rearranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
Furthermore, the terms "first," "second," and the like may be used herein to describe various orientations, actions, steps, elements, or the like, but the orientations, actions, steps, or elements are not limited by these terms. These terms are only used to distinguish one direction, action, step or element from another direction, action, step or element. For example, a first speed difference may be referred to as a second speed difference, and similarly, a second speed difference may be referred to as a first speed difference, without departing from the scope of the present application. The first speed difference and the second speed difference are both speed differences, but they are not the same speed difference. The terms "first", "second", etc. are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Example one
Fig. 1 is a schematic diagram of a micro-coded image extraction apparatus according to a first embodiment of the present invention, which is applicable to extracting a micro-coded image. Referring to fig. 1, the microcoded image extraction apparatus according to the embodiment of the present invention specifically includes a housing 1 and an imaging device 2. The housing 1 comprises at least two opposite side walls 11 and a top wall 12 connecting the at least two side walls 11, optionally the number of the side walls may be 4-8. The side wall 11 and the top wall 12 form an angle greater than 90 degrees. The opposite side of the housing 1 and the top wall 12 is provided with a detection opening 13, the at least two side walls 11 are provided with light sources 14, and the light sources 14 are surface light sources or light source matrixes arranged on the side walls 11. The inner side of the top wall 12 is provided with a light absorbing layer 15 for absorbing light irradiated to a light absorbing surface thereof. The top wall 12 is provided with an imaging opening 16, and the lens of the imaging device 2 is fixed to the imaging opening 16 and disposed toward the detection opening 13. The imaging device 2 includes an optical lens 21 and an image sensor 22; the optical lens 21 collects the light reflected back after the light source 14 irradiates the detection opening 13, and maps the light to the image sensor 22 to form a microcoded image.
When extracting a microcoded image, the detection opening 13 of the device is arranged on a plane to be extracted, because the plane to be extracted has pits and bumps, light emitted by the light source 14 reaches the optical lens 21 and the image sensor 22 after being reflected by the plane to be extracted to form an image, and the image sensor 22 converts the image into a corresponding image signal according to the difference of the optical characteristics of the pits and the bumps.
The schematic device diagram of the light path when a certain reflective point on the plane to be extracted is a plane and a concave point is described below.
As shown in fig. 2, when a certain light-reflecting point on the plane to be extracted is a plane, light (reflected light) emitted from any point on the light-absorbing layer 15 at a specific angle reaches the plane to be extracted, and then is reflected to the optical lens 21 and reaches the image sensor 22. The light is weak due to the light absorbing properties of the light absorbing layer 15, i.e. the point present on the image sensor 2 is a darker point. The light absorbing layer 15 constitutes a light absorbing surface from an infinite number of such points on the light absorbing surface which are mapped into the image sensor to form a darker image.
As shown in fig. 3, when a certain reflective point on the plane to be extracted is a concave point, since the concave point is microscopically similar to a concave mirror, the normal of the reflective point on most areas in the concave area is not perpendicular to the plane to be extracted, that is, the light emitted from a certain light emitting point on the light source 14 and directed to the reflective point is reflected and then reaches the image sensor 22 through the optical lens 21. Since the light source 14 itself is self-luminous and has a much higher brightness than the reflected light on the light absorbing layer 15, the brightness of the resulting image at the concave portion is significantly higher than that at the periphery, resulting in a bright point. Similarly, when a certain reflective point on the plane to be extracted is a bump, based on a similar principle, the brightness of the bump in the finally obtained image is obviously higher than that of the periphery of the bump, so that a bright point is formed.
It should be noted that, due to the imaging principle of the concave mirror and the convex mirror, microscopically, each pit or bump is finally dark in a partial area (an image of the light absorbing layer and the lens) of an image in the image sensor, but since a single pit or bump is very small, the influence of the dark area in the image of the single pit or bump is negligible, and the image can be regarded as a bright point.
The device of the invention can well extract the image of the microcosmic coded image which is formed by taking the concave points or the convex points as code points on the reflecting surface of the mirror surface, and more accurately identify the authenticity of the image.
Example two
Fig. 4 is a schematic flow chart of a method for identifying authenticity after extracting a micro-coded image according to a second embodiment of the present invention. Before extracting the micro-coding image, the micro-coding image needs to be generated on the metal reflecting surface. When the microcoded original image is generated, the sizes of the code points in the generated microcoded image unit are not completely the same according to the preset algorithm, that is, two or more code point sizes can be provided, and which one of the sizes of each code point is determined by the preset algorithm. As shown in fig. 5, the sizes of the respective code points in the micro-coded picture unit are not exactly the same. Thus, when the image is engraved on the metal reflective surface or the mold by laser, the size of each code point on the metal reflective surface or the mold can be controlled. The generated microcoded original image is carved on a metal reflecting surface through a certain technical process (such as laser carving), or is carved on a mould and then is subjected to compression casting to the surface of target metal. After the micro-coded image is generated on the target metal surface, the micro-coded image on the metal reflecting surface can be obtained through the micro-coded image extraction device provided by the embodiment of the invention, and the authenticity can be identified. Referring to fig. 4, the method for identifying authenticity after extracting a microcoded image according to an embodiment of the present invention includes:
step S110, emitting light rays at a first angle to irradiate the surface to be detected, wherein the surface to be detected comprises a plurality of convex points or concave points which are arranged at intervals. Specifically, the light source emits light at a first angle to irradiate the surface to be detected, so that the light reflected by the surface to be detected can enter the imaging opening and reach the imaging device.
And S120, shooting the surface to be detected at a second angle by an imaging device to acquire a microcoded image, wherein the microcoded image comprises a plurality of bright spots corresponding to the salient points or the concave points. Specifically, the optical lens of the imaging device collects the reflected light rays, and the reflected light rays are mapped to the image sensor to form a microcoded image.
And S130, judging the authenticity of the surface to be detected according to the microcosmic coded image and a preset standard microcosmic coded image.
Specifically, after the image sensor generates the microcosmic coded image, the method comprises the following steps:
step S131, acquiring the position information and the size information of all bright spots in the microcosmic coded image.
Specifically, a brightness value of each pixel in the microcosmic coded image is obtained; and calculating the ratio of the brightness value of each pixel to the brightness values of the peripheral pixels to confirm the position information and the size information of each bright point. Specifically, each pixel in the image is traversed, the value of the brightness value of the pixel relative to the values of the peripheral pixels of the pixel is calculated, and whether the pixel is a bright point or not is judged. When the image is judged to be a bright spot, the central coordinate of the bright spot is calculated, and the size of the bright spot is calculated. And sequentially judging all bright spots in the image, calculating the central coordinates and the size of the bright spots, and storing the central coordinates and the size.
Step S132, judging whether the position information of all the bright spots is matched with the position relation of the preset standard microcosmic coding image.
Specifically, the position relationship of each bright spot and the bright spots around the bright spot is traversed to determine whether the position relationship is matched with the position relationship of the preset standard microcosmic coded image.
Step S133, if yes, confirms that the corresponding micro coded image unit is found.
Specifically, when the position relationship matches the set position relationship, it indicates that a micro-coded image unit is found, and then the information contained in the micro-coded image unit is further calculated. If not, the metal reflecting surface does not have the corresponding microcosmic coded image.
Step S134, determining the size grades of all the bright spots of the microcosmic coded image unit according to a preset rule, wherein the bright spot of each size grade corresponds to a size range.
For example, according to the preset rule, the size grades of the bright spots of the microcoded image units include two grades of small code points and large code points, wherein the number of the small code points is 9, the size range is 60-70, the number of the large code points is 5, and the size range is 120-140. The sizes of 9 small code points of the 14 code points in one frame image obtained by actual calculation are respectively 66, 60, 63, 71, 68, 58, 61, 64 and 70, and the sizes of 5 large code points are respectively 112, 134, 128, 138 and 132.
Step S135, determining whether the average value of the sizes of all the bright spots of each size class is within a preset range.
For example, the actually calculated 9 small code dot sizes in one frame image are 66, 60, 63, 71, 68, 58, 61, 64 and 70 respectively, the average value is (66+60+63+71+68+58+61+64+70)/9 ═ 64.56, and the average value is between the preset small code dot size ranges 60 to 70; and the sizes of the 5 large code points are 112, 134, 128, 138 and 132 respectively, the average value is (112+134+128+138+ 132)/5-128.8, and the range is between 120-140 of the preset large code point size, and then the next step can be performed. If the calculated average value is not within the preset range, the authenticity is judged to be failed, which indicates that the microcoded image may be a forged image or may be subjected to random interference such as dust, image noise and the like to cause the authenticity to fail.
Step S136, if yes, further determining whether the number of the bright spots exceeding the size range of the bright spot preset by the corresponding size grade in the bright spots of each size grade is within the preset required range.
For example, according to a preset rule, the number of code points exceeding the preset code point size range of 60 to 70 in the small code points cannot exceed 2, and the number of code points exceeding the preset code point size range of 120 to 140 in the large code points cannot exceed 1. In the frame image, two small code points with code point sizes of 71 and 58 exceed a preset code point size range of 60-70, the number of the small code points is 2, within an allowable range, a large code point with code point size of 112 exceeds a preset code point size range of 120-140, the number of the large code points is 1, and within the allowable range, the false discrimination is judged to pass.
And step S137, if yes, confirming that the microcosmic coded image is a real image.
Specifically, if the number of bright spots exceeding the size range of the bright spot preset by the corresponding size grade in the bright spots of each size grade is within the preset required range, the microcoded image is determined to be a real image; if the number of the bright spots exceeding the size range of the bright spots preset by the corresponding size grade in the bright spots of each size grade is not in the preset required range, the micro-coded image is judged to be false-proof, which indicates that the micro-coded image may be a forged image or false-proof caused by random interference such as dust, image noise and the like.
In the embodiment of the invention, the reason that the size of a certain number of code points is allowed to exceed the range preset by the grade is that the error tolerance requirement in actual production is considered, so that the precision of the image is strictly required, and a certain degree of production tolerance is also allowed.
According to the technical scheme of the embodiment of the invention, the authenticity can be more accurately identified by judging the size grade of the bright spot of the microcosmic coded image.
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 (8)
1. The utility model provides a microcosmic coding image extraction element which characterized in that, includes casing and image device, the casing includes two at least lateral walls that are relative and connects the roof of two at least lateral walls, the casing is provided with the detection opening with the opposite one side of roof, two at least lateral walls set up the light source, the roof inboard is provided with the light-absorbing layer, the roof is provided with the formation of image opening, image device's camera lens is fixed in the formation of image opening and orientation the detection opening sets up.
2. The microcoded image extraction device of claim 1, wherein the number of the sidewalls is 4-8.
3. The micro-encoded image extraction device of claim 1, wherein the side walls are angled more than 90 degrees from the top wall.
4. The microcoded image extraction device according to claim 1, wherein the light source is a surface light source or a light source matrix provided to the side wall.
5. The microcoded image extraction device of claim 1, wherein the imaging device includes an optical lens and an image sensor;
and the optical lens collects the light reflected back after the light source irradiates the detection opening, and the light is mapped to the image sensor to form a microcoded image.
6. A method for identifying authenticity after extracting a microcoded image is characterized by comprising the following steps:
emitting light rays at a first angle to irradiate a surface to be detected, wherein the surface to be detected comprises a plurality of convex points or concave points which are arranged at intervals;
the imaging device shoots the surface to be detected at a second angle to obtain a microcoded image, wherein the microcoded image comprises a plurality of bright spots corresponding to the salient points or the concave points;
and judging the authenticity of the surface to be detected according to the microcosmic coded image and a preset standard microcosmic coded image.
7. The method for identifying authenticity after extracting the microcoded image according to claim 6, wherein the judging authenticity of the surface to be detected according to the microcoded image and a preset standard microcoded image comprises:
acquiring position information and size information of all bright spots in the microcosmic coded image;
judging whether the position information of all the bright spots is matched with the position relation of a preset standard microcosmic coded image or not;
if yes, confirming that the corresponding microcosmic coding image unit is found;
confirming the size grades of all bright spots of the microcosmic coding image unit according to a preset rule, wherein the bright spot of each size grade corresponds to a size range;
judging whether the average value of the sizes of all the bright spots of each size grade is in a preset range or not;
if so, further judging whether the number of the bright spots exceeding the size range of the bright spots preset by the corresponding size grade in the bright spots of each size grade is within the preset required range;
and if so, confirming that the microcosmic coded image is a real image.
8. The method for identifying authenticity after extracting the microcosmic coded image according to claim 7, wherein the obtaining of the position information and the size information of all the bright spots in the microcosmic coded image comprises:
acquiring the brightness value of each pixel in the microcosmic coded image;
and calculating the ratio of the brightness value of each pixel to the brightness values of the peripheral pixels to confirm the position information and the size information of each bright point.
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