CN106447908B - Paper money counterfeit distinguishing method and device - Google Patents
Paper money counterfeit distinguishing method and device Download PDFInfo
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- CN106447908B CN106447908B CN201610833521.4A CN201610833521A CN106447908B CN 106447908 B CN106447908 B CN 106447908B CN 201610833521 A CN201610833521 A CN 201610833521A CN 106447908 B CN106447908 B CN 106447908B
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
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- G07D7/2016—Testing patterns thereon using feature extraction, e.g. segmentation, edge detection or Hough-transformation
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Abstract
The invention discloses a paper money counterfeit discriminating method and device. The method comprises the following steps: acquiring an image to be detected in the paper money to be detected; carrying out image processing on the image to be detected and calibrating a foreground image; determining a connected region of the foreground image; and determining the stripe characteristic information of the image to be detected according to the communication area, and determining the authenticity of the paper money to be detected according to the stripe characteristic information. By the technical scheme, the authenticity of the paper money can be stably and effectively identified.
Description
Technical Field
The embodiment of the invention relates to a paper money detection technology, in particular to a paper money counterfeit distinguishing method and device.
Background
In order to maintain the financial order of society and prevent counterfeit money from circulating in the market, the anti-counterfeiting characteristics of paper money of various countries are continuously improved, and the counterfeit identification technology of paper money is also continuously improved.
At present, in paper money circulating in the world, the anti-counterfeiting characteristics of the paper money mainly comprise image-text characteristics, watermark characteristics, fluorescence characteristics and the like. In the existing paper money detection method, manual counterfeit identification and machine counterfeit identification are generally adopted, wherein the manual counterfeit identification mainly relies on human eyes to subjectively identify various image-text characteristics on the surface of the paper money under natural light, and the machine counterfeit identification mainly relies on ultraviolet light to identify common anti-counterfeiting characteristics such as watermark characteristics, fluorescence characteristics and the like of the paper money, so that the authenticity of the paper money is identified.
In the existing counterfeit identification technology, the common counterfeit-proof features of the paper money are easy to counterfeit, and the identification effect of the common counterfeit-proof features is unstable, for example, the fluorescent features of the paper money may not be detected at a certain irradiation angle under ultraviolet light, so that the authenticity of the paper money cannot be effectively identified.
Disclosure of Invention
The embodiment of the invention provides a method and a device for identifying counterfeit paper money, which are used for realizing stable and effective identification of the counterfeit paper money.
In a first aspect, an embodiment of the present invention provides a method for identifying counterfeit paper money, including:
acquiring an image to be detected in the paper money to be detected;
carrying out image processing on the image to be detected and calibrating a foreground image;
determining a connected region of the foreground image;
and determining the stripe characteristic information of the image to be detected according to the communication area, and determining the authenticity of the paper money to be detected according to the stripe characteristic information.
Further, acquiring the image to be detected in the paper money to be detected comprises:
irradiating the area to be detected of the paper money to be detected by an infrared light source;
and acquiring an infrared reflection image of the area to be detected through an image sensor to serve as the image to be detected.
Further, the image processing of the image to be detected and the calibration of the foreground map include:
carrying out binarization processing on the image to be detected;
and calibrating an image composed of pixel points with pixel values larger than 0 in the processed image to be detected as a foreground image.
Further, determining the connected region of the foreground map comprises:
traversing and scanning pixel points of the foreground image;
marking adjacent pixel points with the same pixel value to form an initial communication area;
deleting the initial communication area of which the number of pixel points is less than a preset point threshold value and/or the height of the initial communication area is less than a preset height threshold value;
and determining the remaining initial connected region after the treatment as the connected region of the foreground image.
Further, determining the stripe feature information of the image to be detected according to the communication area, and determining the authenticity of the paper money to be detected according to the stripe feature information comprises:
if the number of the communication areas is larger than or equal to a preset threshold value, determining that the image to be detected has stripe characteristics, and determining that the paper money to be detected is true paper money;
and if the number of the communication areas is smaller than the preset threshold value, determining that the image to be detected does not have stripe characteristics, and determining that the paper money to be detected is counterfeit money.
In a second aspect, an embodiment of the present invention further provides a banknote authentication device, including:
the image acquisition module is used for acquiring an image to be detected in the paper money to be detected;
the image processing module is used for carrying out image processing on the image to be detected and calibrating a foreground image;
the area calibration module is used for determining a communication area of the foreground image;
and the characteristic identification module is used for determining the stripe characteristic information of the image to be detected according to the communication area and determining the authenticity of the paper money to be detected according to the stripe characteristic information.
Further, the image acquisition module includes:
the irradiation unit is used for irradiating the area to be measured of the paper money to be measured through an infrared light source;
and the image acquisition unit is used for acquiring the infrared reflection image of the area to be detected as the image to be detected through an image sensor.
Further, the image processing module includes:
the image processing unit is used for carrying out binarization processing on the image to be detected;
and the foreground image calibration unit is used for calibrating an image formed by pixel points with pixel values larger than 0 in the processed image to be detected into the foreground image.
Further, the zone calibration module comprises:
the pixel scanning unit is used for performing traversal scanning on the pixels of the foreground image;
the pixel point marking unit is used for marking adjacent pixel points with the same pixel value to form an initial communication area;
the area processing unit is used for deleting the initial communication area of which the number of pixel points is less than a preset point threshold value and/or the height of the initial communication area is less than a preset height threshold value;
and the area determining unit is used for determining the remaining initial connected area after the processing as the connected area of the foreground image.
Further, the feature identification module is specifically configured to:
if the number of the communication areas is larger than or equal to a preset threshold value, determining that the image to be detected has stripe characteristics, and determining that the paper money to be detected is true paper money;
and if the number of the communication areas is smaller than the preset threshold value, determining that the image to be detected does not have stripe characteristics, and determining that the paper money to be detected is counterfeit money.
The embodiment of the invention utilizes the advantage that the stripe feature of the paper money is not easy to forge, and judges whether the paper money to be tested has the stripe feature or not by dividing the communicated area of the image to be tested in the paper money to be tested, thereby judging the authenticity of the paper money to be tested, solving the technical problem that the authenticity of the paper money cannot be effectively identified due to the fact that the common feature is easy to forge or the detection technical effect is unstable in the prior art, and realizing the effect of stably and effectively detecting the authenticity of the paper money.
Drawings
FIG. 1 is a flow chart of a method for identifying counterfeit paper money according to an embodiment of the present invention;
FIG. 2 is an infrared reflection diagram of the stripe character in the counterfeit paper money discriminating method according to the embodiment of the present invention;
FIG. 3 is a schematic diagram of a stripe feature character after binarization processing in a method for identifying counterfeit paper money according to an embodiment of the present invention;
FIG. 4 is a flowchart of a method for identifying counterfeit paper money according to a second embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a counterfeit banknote identifier according to a third embodiment of the present invention;
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a banknote authentication method according to an embodiment of the present invention, which is applicable to the detection of banknotes with striped features, and which may be implemented by a banknote authentication apparatus, which may be configured in an ATM (Automated Teller Machine), a currency detector, and any other detecting Machine having a banknote authentication function. The method specifically comprises the following steps:
and 110, acquiring an image to be detected in the paper money to be detected.
The true banknote corresponding to the to-be-detected banknote is a banknote with stripe characteristics, such as an Iran banknote, and the image of the same area in the true banknote corresponding to the to-be-detected image of the to-be-detected banknote has the stripe characteristics. The real banknote corresponding to the banknote to be detected does not display the stripe characteristics under natural light, and the stripe characteristics can be displayed under the irradiation of infrared light, so that an infrared reflection diagram of the banknote to be detected needs to be acquired, and the banknote to be detected is identified through the infrared reflection diagram.
Preferably, the acquiring the image to be measured in the banknote to be measured includes: irradiating the area to be detected of the paper money to be detected by an infrared light source; and acquiring an infrared reflection image of the area to be detected through an image sensor to serve as the image to be detected.
Specifically, the purpose of illuminating the paper money to be measured with the infrared light source is to display the stripe feature in the region to be measured. The method for acquiring the infrared reflection map comprises the following steps: the infrared light source and the image sensor are arranged on the same side of the paper money to be detected, and when infrared light emitted by the infrared light source irradiates on an image to be detected of the paper money to be detected, the image sensor captures an infrared reflection image formed by light reflected from the paper money to be detected. For example, fig. 2 shows a stripe feature of a denomination character in a 50-ten thousand real italian coin under an infrared light source, and specifically, the stripe feature is represented as a light-colored oblique stripe on the 50-character.
And 120, performing image processing on the image to be detected, and calibrating a foreground image.
The image processing has the advantages that the required image to be detected can be highlighted, and the foreground image is selectively identified according to the pixel values of the pixel points in the image to be detected.
Preferably, the image processing of the image to be detected and the calibration of the foreground map include: carrying out binarization processing on the image to be detected; and calibrating an image composed of pixel points with pixel values larger than 0 in the processed image to be detected as a foreground image.
Specifically, the algorithm for performing binarization processing may be otsu (variance between maximum classes), a P parameter method, and the like, and the purpose of the method is to set the pixel value of a pixel point on the image to be measured to 0 or 255, that is, the whole image to be measured exhibits an obvious black-and-white effect. And an image formed by black pixels with the pixel values set to 255 is marked as a foreground image. For example, fig. 3 shows a stripe characteristic text effect that an infrared reflection image at a face value of 50 ten thousand of real money and a currency value of an iran coin is subjected to binarization processing, and an image composed of black pixel points is a foreground image.
The otsu algorithm has the basic idea that images are divided into two classes of images of a foreground and a background according to an initial threshold, then the variance between the two classes is calculated, the threshold is updated, the inter-class variance is recalculated, and the threshold when the inter-class variance is maximum is met, namely the optimal threshold is obtained. The basic idea of the P-parameter method is to divide the image by cycling through different gray levels when the ratio of the target in the image is known, and calculate the ratio of the corresponding target, and if the difference between the ratio and the known target ratio is small enough, the threshold is the optimal division threshold.
And step 130, determining a communication area of the foreground image.
The connected region is an image region which is formed by foreground pixel points with the same pixel value and adjacent positions in the image. For example, as shown in fig. 3, the foreground map contains several connected regions.
And 140, determining the stripe characteristic information of the image to be detected according to the communication area, and determining the authenticity of the paper money to be detected according to the stripe characteristic information.
The stripe feature information indicates whether the image to be measured includes a stripe feature, and the stripe feature may be, for example, a horizontal stripe, a diagonal stripe, a curved stripe, or the like. The advantage of determining the streak feature based on the connected regions is that the number of connected regions can be determined without regard to the specific shape of the streak feature.
Preferably, determining the stripe feature information of the image to be detected according to the communication area, and determining the authenticity of the paper money to be detected according to the stripe feature information comprises: if the number of the communication areas is larger than or equal to a preset threshold value, determining that the image to be detected has stripe characteristics, and determining that the paper money to be detected is true paper money; and if the number of the communication areas is smaller than the preset threshold value, determining that the image to be detected does not have stripe characteristics, and determining that the paper money to be detected is counterfeit money.
Specifically, the preset threshold value differs according to the size of the image resolution. For example, in fig. 3, the preset threshold is 6.
The principle of the banknote authenticity identification method is as follows: and determining the authenticity of the paper currency according to whether the image to be detected contains a plurality of communication areas. Specifically, when the paper money to be detected is a true money, the image to be detected can be divided into a plurality of communication areas by lines with regular patterns, and when the paper money to be detected is a false money, the image to be detected can present a complete communication area.
According to the technical scheme of the embodiment, whether the image to be detected has the stripe characteristics or not is judged by determining the communication area of the image to be detected in the paper money to be detected, so that the authenticity of the paper money is identified. The method is suitable for detecting the stripe characteristics of various angles, solves the technical problem that the authenticity of the paper money cannot be effectively identified due to the fact that common characteristics are easy to forge or the detection technical effect is unstable in the prior art, and achieves the effect of stably and effectively detecting the authenticity of the paper money.
Example two
Fig. 4 is a flowchart of a banknote authentication method according to a second embodiment of the present invention. The present embodiment is optimized based on the above embodiments, and provides a preferred method for identifying counterfeit paper money, specifically, the communicating area for determining the foreground map is further optimized as follows: traversing and scanning pixel points of the foreground image; marking adjacent pixel points with the same pixel value to form an initial communication area; deleting the initial communication area of which the number of pixel points is less than a preset point threshold value and/or the height of the initial communication area is less than a preset height threshold value; and determining the remaining initial connected region after the treatment as the connected region of the foreground image.
The method of the embodiment specifically includes the following steps:
step 410, acquiring an image to be detected in the paper money to be detected;
step 420, processing the image to be detected and calibrating a foreground image;
step 430, performing traversal scanning on the pixel points of the foreground image;
specifically, the purpose of performing traversal scanning is to determine the pixel value of each pixel point in the foreground image.
Step 440, marking adjacent pixel points with the same pixel value to form an initial communication area;
the initial linking region is marked by using the two-pass algorithm.
Specifically, the two-pass algorithm refers to that all connected regions existing in the image can be found and marked by scanning the image twice. The idea is as follows: in the first scanning, each pixel position is given a label, and in the scanning process, a pixel set in the same communication area may be given one or more different labels, so that the labels belonging to the same communication area but having different values need to be merged, that is, the equality relationship between the labels is recorded; the second pass is to classify the pixels marked by labels with equal relationship into a connected region and assign the same label (usually, the label is the minimum value among the labels with equal relationship).
Step 450, deleting the initial communication area in which the number of pixel points is less than a preset point threshold value and/or the height of the initial communication area is less than a preset height threshold value;
specifically, values of the preset point threshold and the preset height threshold are different according to the size of the image resolution, for example, in fig. 3, the preset point threshold is 10, and the preset height threshold is 2.
The purpose of setting the threshold is to delete the noise communication area in the initial communication area and eliminate noise interference. For example, in fig. 3, horizontal stripes beside a 50-word pattern can be deleted according to a preset height threshold, and noise points of single or fewer points can be deleted according to a preset point threshold.
And 460, determining the remaining initial communication area after the processing as the communication area of the foreground image.
The initial communication area after the denoising treatment is represented as a plurality of larger communication areas, and at the moment, the residual communication areas can well represent whether the image to be detected has the stripe characteristics or not.
And 470, determining the stripe characteristic information of the image to be detected according to the communication area, and determining the authenticity of the paper money to be detected according to the stripe characteristic information.
According to the technical scheme of the embodiment, on the basis of the paper money counterfeit distinguishing method in the optimized embodiment, the technical scheme of the method for determining the communication area is clearly described, noise interference possibly existing in the image to be detected is eliminated, and the accuracy of paper money counterfeit distinguishing is improved.
EXAMPLE III
Fig. 5 is a schematic structural diagram of a banknote authentication device according to a third embodiment of the present invention. The paper money counterfeit discriminating device includes: an image acquisition module 510, an image processing module 520, a region calibration module 530, and a feature identification module 540, which are described in detail below.
An image obtaining module 510, configured to obtain an image to be detected in the paper money to be detected;
the image processing module 520 is configured to perform image processing on the image to be detected and calibrate a foreground map;
a region calibration module 530, configured to determine a connected region of the foreground map;
and the characteristic identification module 540 is configured to determine stripe characteristic information of the image to be detected according to the communication area, and determine the authenticity of the paper money to be detected according to the stripe characteristic information.
Optionally, the image acquiring module includes:
the irradiation unit is used for irradiating the area to be measured of the paper money to be measured through an infrared light source;
and the image acquisition unit is used for acquiring the infrared reflection image of the area to be detected as the image to be detected through an image sensor.
Optionally, the image processing module includes:
the image processing unit is used for carrying out binarization processing on the image to be detected;
and the foreground image calibration unit is used for calibrating an image formed by pixel points with pixel values larger than 0 in the processed image to be detected into the foreground image.
Optionally, the area calibration module includes:
the pixel scanning unit is used for performing traversal scanning on the pixels of the foreground image;
the pixel point marking unit is used for marking adjacent pixel points with the same pixel value to form an initial communication area;
the area processing unit is used for deleting the initial communication area of which the number of pixel points is less than a preset point threshold value and/or the height of the initial communication area is less than a preset height threshold value;
and the area determining unit is used for determining the remaining initial connected area after the processing as the connected area of the foreground image.
Optionally, the feature identification module is specifically configured to:
if the number of the communication areas is larger than or equal to a preset threshold value, determining that the image to be detected has stripe characteristics, and determining that the paper money to be detected is true paper money;
and if the number of the communication areas is smaller than the preset threshold value, determining that the image to be detected does not have stripe characteristics, and determining that the paper money to be detected is counterfeit money.
By the paper money counterfeit distinguishing device provided by the third embodiment of the invention, the communication area of the image to be detected in the paper money to be detected is defined to judge whether the paper money to be detected has the stripe characteristics, so that the authenticity of the paper money to be detected is judged, and the paper money can be stably and effectively distinguished.
The paper money counterfeit distinguishing device can execute the method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (6)
1. A method for authenticating a banknote, comprising:
acquiring an image to be detected in the paper money to be detected;
carrying out image processing on the image to be detected and calibrating a foreground image;
determining a connected region of the foreground image;
determining stripe feature information of the image to be detected according to the communication area, and determining the authenticity of the paper money to be detected according to the stripe feature information;
determining stripe feature information of the image to be detected according to the communication area, and determining the authenticity of the paper money to be detected according to the stripe feature information comprises the following steps:
if the number of the communication areas is larger than or equal to a preset threshold value, determining that the image to be detected has stripe characteristics, and determining that the paper money to be detected is true paper money;
if the number of the communication areas is smaller than the preset threshold value, determining that the image to be detected does not have stripe characteristics, and determining that the paper money to be detected is counterfeit money;
the acquiring of the image to be detected in the paper money to be detected comprises the following steps:
irradiating the area to be detected of the paper money to be detected by an infrared light source;
and acquiring an infrared reflection image of the area to be detected through an image sensor to serve as the image to be detected.
2. The method of claim 1, wherein the image processing the image to be measured and calibrating the foreground map comprises:
carrying out binarization processing on the image to be detected;
and calibrating an image composed of pixel points with pixel values larger than 0 in the processed image to be detected as a foreground image.
3. The method of claim 1, wherein determining the connected region of the foreground map comprises:
traversing and scanning pixel points of the foreground image;
marking adjacent pixel points with the same pixel value to form an initial communication area;
deleting the initial communication area of which the number of pixel points is less than a preset point threshold value and/or the height of the initial communication area is less than a preset height threshold value;
and determining the remaining initial connected region after the treatment as the connected region of the foreground image.
4. A paper money discriminating apparatus, comprising:
the image acquisition module is used for acquiring an image to be detected in the paper money to be detected;
the image processing module is used for carrying out image processing on the image to be detected and calibrating a foreground image;
the area calibration module is used for determining a communication area of the foreground image;
the characteristic identification module is used for determining the stripe characteristic information of the image to be detected according to the communication area and determining the authenticity of the paper money to be detected according to the stripe characteristic information;
wherein the feature identification module is specifically configured to:
if the number of the communication areas is larger than or equal to a preset threshold value, determining that the image to be detected has stripe characteristics, and determining that the paper money to be detected is true paper money;
if the number of the communication areas is smaller than the preset threshold value, determining that the image to be detected does not have stripe characteristics, and determining that the paper money to be detected is counterfeit money;
the image acquisition module includes:
the irradiation unit is used for irradiating the area to be measured of the paper money to be measured through an infrared light source;
and the image acquisition unit is used for acquiring the infrared reflection image of the area to be detected as the image to be detected through an image sensor.
5. The apparatus of claim 4, wherein the image processing module comprises:
the image processing unit is used for carrying out binarization processing on the image to be detected;
and the foreground image calibration unit is used for calibrating an image formed by pixel points with pixel values larger than 0 in the processed image to be detected into the foreground image.
6. The apparatus of claim 4, wherein the zone calibration module comprises:
the pixel scanning unit is used for performing traversal scanning on the pixels of the foreground image;
the pixel point marking unit is used for marking adjacent pixel points with the same pixel value to form an initial communication area;
the area processing unit is used for deleting the initial communication area of which the number of pixel points is less than a preset point threshold value and/or the height of the initial communication area is less than a preset height threshold value;
and the area determining unit is used for determining the remaining initial connected area after the processing as the connected area of the foreground image.
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| CN108961531B (en) * | 2017-05-17 | 2020-10-20 | 深圳怡化电脑股份有限公司 | Method, device and equipment for identifying serial number of paper currency and storage medium |
| CN107393118B (en) * | 2017-06-23 | 2019-08-27 | 深圳怡化电脑股份有限公司 | A kind of recognition methods of bank note, device, terminal device and computer storage medium |
| CN110599665B (en) * | 2018-06-13 | 2021-08-24 | 深圳兆日科技股份有限公司 | Paper pattern recognition method and device, computer equipment and storage medium |
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