WO2020093732A1

WO2020093732A1 - Method and device for authenticating paper product, and storage medium

Info

Publication number: WO2020093732A1
Application number: PCT/CN2019/097377
Authority: WO
Inventors: 戚务昌; 林永辉; 曲涛; 张凯; 宋荣鑫
Original assignee: 威海华菱光电股份有限公司
Priority date: 2018-11-09
Filing date: 2019-07-24
Publication date: 2020-05-14
Also published as: CN109345685A

Abstract

A method and device for authenticating a paper product, and a storage medium. The method comprises: acquiring a first dielectric characteristic grayscale image of a target paper product to be authenticated and a second dielectric characteristic grayscale image of a sample paper product, wherein the sample paper product is an authenticated paper product (S102); comparing the first dielectric characteristic grayscale image with the second dielectric characteristic grayscale image to obtain a comparison result, wherein the comparison result is used for indicating the authenticity of the target paper product (S104); and prompting, according to the comparison result, authentication information matching the target paper product (S106). Accordingly, the technical problems of low accuracy and low precision in authenticating banknotes in the relevant art are solved.

Description

Paper product identification method and device and storage medium

Technical field

The invention relates to the field of paper currency authentication, and in particular to a paper product identification method and device and a storage medium.

Background technique

In the related art, in the process of authenticating the banknote, the method that can be adopted is to compare the dielectric characteristic signal of the banknote to be authenticated with the dielectric characteristic signal of the authentic banknote, thereby obtaining the authenticity of the banknote to be authenticated.

However, the existing technology is limited by the sensitivity and resolution of the dielectric characteristic sensor, and only a rough comparison of the dielectric characteristic signals is performed. Many details on the banknotes are not detected, so the accuracy and accuracy are generally not high.

In view of the above problems, no effective solution has been proposed yet.

Summary of the invention

Embodiments of the present invention provide a paper product identification method and device, and a storage medium, so as to at least solve the technical problems of low accuracy and low precision in identifying paper currency in the related art.

According to an aspect of an embodiment of the present invention, a paper product identification method is provided, including: acquiring a first dielectric characteristic gray image of a target paper product to be identified and a second dielectric characteristic gray of a sample paper product Image, where the sample paper product is a verified paper product; the first dielectric characteristic grayscale image and the second dielectric characteristic grayscale image are compared to obtain a comparison result, wherein, the above ratio The comparison result is used to indicate the authenticity of the target paper product; according to the comparison result, identification information matching the target paper product is presented.

According to another aspect of the embodiments of the present invention, there is also provided a paper product identification device, including: a dielectric characteristic sensor, configured to collect a first dielectric characteristic signal of a target paper product to be identified, and also used to collect The second dielectric characteristic signal of the sample paper product, wherein the sample paper product is a paper product that has been verified; the image generation module is connected to the dielectric property sensor and is used for collecting the dielectric property sensor The first dielectric characteristic signal of the target paper product performs analog-to-digital conversion to obtain a first dielectric characteristic grayscale image, and is also used for the second dielectric of the sample paper product collected by the dielectric characteristic sensor The characteristic signal performs analog-to-digital conversion to obtain a second dielectric characteristic gray-scale image; an image processor is connected to the above-mentioned image generation module and is used for the first dielectric characteristic gray-scale image and the second dielectric characteristic gray-scale image Perform comparison processing; a prompter, connected to the image processor, is used to prompt the authenticity of the target paper product according to the comparison result output by the image processor.

According to still another aspect of the embodiments of the present invention, there is also provided a storage medium in which a computer program is stored, wherein the computer program is configured to execute the above-mentioned paper product identification method when running.

In an embodiment of the present invention, a first dielectric characteristic gray image of the target paper product to be identified and a second dielectric characteristic gray image of the sample paper product are obtained, wherein the sample paper product is verified Paper products; comparing the first dielectric characteristic grayscale image with the second dielectric characteristic grayscale image to obtain a comparison result, and presenting identification information matching the target paper product based on the comparison result method. In the above method, by comparing the first dielectric characteristic gray-scale image with the second dielectric characteristic gray-scale image, rather than roughly comparing the dielectric characteristic signal, the accuracy and the accuracy of identifying the paper product to be authenticated are improved. The accuracy, in turn, solves the technical problems of low accuracy and low accuracy in identifying banknotes in the related art.

BRIEF DESCRIPTION

The drawings described herein are used to provide a further understanding of the present invention and form a part of the present application. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an undue limitation on the present invention. In the drawings:

FIG. 1 is a schematic flowchart of an optional paper product identification method according to an embodiment of the present invention;

2 is a schematic diagram of an optional paper product identification method according to an embodiment of the present invention;

3 is a schematic diagram of another optional paper product identification method according to an embodiment of the present invention;

4 is a schematic diagram of another optional paper product identification method according to an embodiment of the present invention;

5 is a schematic diagram of another optional paper product identification method according to an embodiment of the present invention;

6 is a schematic structural diagram of an optional dielectric characteristic sensor according to an embodiment of the present invention;

7 is a schematic structural diagram of an optional paper product identification device according to an embodiment of the present invention.

detailed description

In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be described clearly and completely in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is a part of the embodiments of the present invention, but not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

It should be noted that the terms “first” and “second” in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and do not have to be used to describe a specific order or sequence. It should be understood that the data used in this way are interchangeable under appropriate circumstances so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, processes, methods, systems, products or devices that contain a series of steps or units need not be limited to those clearly listed Those steps or units, but may include other steps or units not explicitly listed or inherent to these processes, methods, products, or equipment.

According to an aspect of an embodiment of the present invention, a paper product identification method is provided. Optionally, as an optional embodiment, as shown in FIG. 1, the above paper product identification method includes:

S102: Obtain a first dielectric characteristic gray image of the target paper product to be identified and a second dielectric characteristic gray image of the sample paper product, where the sample paper product is a paper product that has been verified;

S104. Compare the first dielectric characteristic grayscale image with the second dielectric characteristic grayscale image to obtain a comparison result, where the comparison result is used to indicate the authenticity of the target paper product;

S106. According to the comparison result, the identification information matching the target paper product is presented.

Optionally, the above paper product identification method can be applied to, but not limited to, a banknote detector, an integrated deposit and withdrawal machine, or any other terminal that can obtain the dielectric properties of the paper product to be identified. For example, it is installed on a wristwatch equipped with a dielectric property detection device or a handheld device equipped with a dielectric property detection device.

Optionally, the above paper product identification method may be, but not limited to, applied to the process of identifying paper money or the process of identifying bills.

The above target paper products may be, but not limited to, currency notes issued in any country or region, or invoices, bonds, receipts, etc.

Take the application of the above paper product identification method in the process of identifying banknotes as an example. In the process of discriminating banknotes, obtain the first dielectric characteristic gray image of the target paper product to be authenticated and the second dielectric characteristic gray image of the sample paper product that has been verified, and compare the first media The grayscale image of the electrical characteristic and the grayscale image of the second dielectric characteristic obtain a comparison result, and the comparison result is used to indicate the authenticity of the target paper product. According to the comparison result, the identification information of the target paper product is presented, so that the authenticity of the target paper product can be obtained.

It should be noted that, in the related art, in the process of verifying the authenticity of banknotes, the dielectric characteristic signal of the banknote to be authenticated is usually collected, and the dielectric characteristic signal of the real banknote is obtained, and the The characteristic signal, so as to obtain the authenticity of the banknote to be authenticated. However, because the above method usually obtains rough dielectric characteristic signals of banknotes for comparison, that is, the entire banknote can only take a few channels of dielectric characteristic signals, and no image can be generated, resulting in low accuracy and precision in the process of identifying banknotes. In this embodiment, by comparing the first dielectric characteristic gray image of the target paper product to be identified with the second dielectric characteristic gray image of the sample paper product that has been verified, the gray image can be directly compared By comparing, the accuracy and precision of the identification of banknotes are improved.

Optionally, but not limited to pre-acquiring and storing the second dielectric characteristic grayscale image of the sample paper product in advance, when identifying the target paper product, the stored second dielectric characteristic grayscale image can be obtained without repetition Access.

Optionally, but not limited to using an electrode such as a rod electrode to apply a pulse voltage to the paper product to be authenticated, the first dielectric characteristic signal is obtained, and after the first dielectric characteristic signal is obtained, the image generation module The first dielectric characteristic signal is converted into a first dielectric characteristic grayscale image. And a pulsed voltage is applied to the sample paper product by the rod-shaped electrode to obtain the second dielectric characteristic signal. After the second dielectric characteristic signal is obtained, the image generation module converts the obtained second dielectric characteristic signal into the first Two grayscale images with dielectric properties.

Optionally, after the first dielectric characteristic signal and the second dielectric characteristic signal are acquired, analog-to-digital conversion may be performed on the first dielectric characteristic signal to obtain a first original dielectric characteristic grayscale image, and Performing noise reduction processing on the first original dielectric characteristic gray image to obtain a first dielectric characteristic gray image, and performing analog-to-digital conversion on the second dielectric characteristic signal to obtain a second original dielectric characteristic gray image, and Noise reduction processing is performed on the second original dielectric characteristic grayscale image to obtain a second dielectric characteristic grayscale image.

Optionally, after acquiring the first dielectric characteristic grayscale image and the second dielectric characteristic grayscale image, before comparing the first dielectric characteristic grayscale image and the second dielectric characteristic grayscale image, it may be It is not limited to performing binary processing on the first dielectric characteristic grayscale image to obtain a first target dielectric characteristic grayscale image and performing binary processing on the second dielectric characteristic grayscale image to obtain a second target dielectric characteristic The grayscale image is compared with the first target dielectric characteristic grayscale image and the second target dielectric characteristic grayscale image to obtain a comparison result.

Optionally, when comparing the first dielectric characteristic grayscale image with the second dielectric characteristic grayscale image, the grayscale value of the first region of the first dielectric characteristic grayscale image may be but not limited to The gray value of the second region of the second dielectric characteristic gray image, thereby obtaining the comparison result. Wherein, the area of the first area in the first grayscale image of dielectric characteristics corresponds to the area of the second area in the grayscale image of dielectric characteristics.

Optionally, when prompting the identification information matching the target paper product according to the comparison result, it may be, but is not limited to, prompting by any one or more of sound, image, text, and the like. For example, a beep sound is issued: "This is true", or the message "This is true" is displayed. Or the above prompt authentication information may be, but not limited to, transmitting a signal carrying authentication information, so that other devices may process the target paper product according to the authentication information in the signal.

Through this embodiment, by comparing the first dielectric characteristic gray image of the target paper product to be identified with the second dielectric characteristic gray image of the sample paper product that has been verified, the gray image can be directly The comparison improves the accuracy and accuracy of the identification of banknotes.

As an optional embodiment, obtaining the first grayscale image of the dielectric properties of the target paper product to be identified and the second grayscale image of the dielectric properties of the sample paper product include:

S1: Obtain the first dielectric characteristic signal of the target paper product, perform analog-to-digital conversion on the first dielectric characteristic signal, and obtain a first dielectric characteristic grayscale image;

S2. Acquire a second dielectric characteristic signal of the sample paper product, perform analog-to-digital conversion on the second dielectric characteristic signal, and obtain a second dielectric characteristic grayscale image.

Optionally, a pulse voltage is applied to the target paper product through the dielectric property sensor, and the first dielectric property signal of the target paper product is acquired at the output interface, and the first dielectric property signal and the pre-stored second dielectric The characteristic signals are compared to obtain a comparison result, which indicates the authenticity of the target paper product.

It may be, but not limited to, after acquiring the first dielectric characteristic signal, convert the first dielectric characteristic signal into the gray value of the first dielectric characteristic gray image, according to the gray value of the first dielectric characteristic gray image Go to the first dielectric characteristic grayscale image; convert the second dielectric characteristic signal into the grayscale value of the second dielectric characteristic grayscale image, and obtain the second dielectric according to the grayscale value of the second dielectric characteristic grayscale image Characteristic grayscale image.

For example, as shown in FIG. 2, FIG. 2 includes an optional first / second dielectric characteristic gray image 202, and the gray image 202 includes an area 204-1, an area 204-2, and an area 204-3 The size of each area can be different, and each area corresponds to a gray value, which can be the same or different. Each area may be, but not limited to, one pixel, or may be, but not limited to, a combination of multiple pixels. When an area is a combination of multiple pixels, the gray value is the average value of the gray values of the pixels in the area.

Through this embodiment, the first dielectric characteristic grayscale image and the second dielectric characteristic grayscale image are obtained by analog-to-digital conversion, so that the first dielectric characteristic grayscale image and the second dielectric characteristic grayscale image can be directly compared Characteristic gray-scale image, which improves the accuracy and accuracy of identifying the target paper product.

As an alternative embodiment,

Obtaining the first dielectric characteristic signal of the target paper product, performing analog-to-digital conversion on the first dielectric characteristic signal to obtain the first dielectric characteristic grayscale image includes: S1, acquiring the first dielectric characteristic signal of the target paper product Performing analog-to-digital conversion on the first dielectric characteristic signal to obtain a first original dielectric characteristic grayscale image; performing noise reduction processing on the first original dielectric characteristic grayscale image to obtain a first dielectric characteristic grayscale image;

Obtaining the second dielectric characteristic signal of the sample paper product, performing analog-to-digital conversion on the second dielectric characteristic signal to obtain the second dielectric characteristic grayscale image includes: S1, acquiring the second dielectric characteristic signal of the target paper product Performing analog-to-digital conversion on the second dielectric characteristic signal to obtain a second original dielectric characteristic grayscale image; performing noise reduction processing on the second original dielectric characteristic grayscale image to obtain a second dielectric characteristic grayscale image.

For example, in the process of discriminating banknotes, the first dielectric characteristic signal of the banknote to be authenticated is obtained, the second dielectric characteristic signal of the sample banknote is obtained, and the analog-to-digital conversion is performed on the first dielectric characteristic signal to obtain The first original dielectric characteristic grayscale image performs analog-to-digital conversion on the second dielectric characteristic signal to obtain a second original dielectric characteristic grayscale image. Since there may be errors in the comparison between the first original dielectric characteristic grayscale image and the second original dielectric characteristic grayscale image, it is necessary to perform the first original dielectric characteristic grayscale image and the second original dielectric characteristic grayscale image Noise reduction processing to compare the results after noise reduction to improve the accuracy of the comparison process.

With this embodiment, the first original dielectric characteristic grayscale image is subjected to noise reduction processing to obtain a first dielectric characteristic grayscale image and the second original dielectric characteristic grayscale image is subjected to noise reduction processing to obtain a second dielectric Characteristic gray-scale image, which improves the accuracy and accuracy of identifying the target paper product.

As an optional embodiment, comparing the first dielectric characteristic grayscale image with the second dielectric characteristic grayscale image, and obtaining the comparison result includes:

S1, performing binary processing on the first dielectric characteristic grayscale image to obtain a first target dielectric characteristic grayscale image;

S2, performing binary processing on the second dielectric characteristic grayscale image to obtain a second target dielectric characteristic grayscale image;

S3. Compare the first target dielectric characteristic grayscale image with the second target dielectric characteristic grayscale image to obtain a comparison result.

Optionally, the above-mentioned first dielectric characteristic grayscale image is binarized to obtain a first target dielectric characteristic grayscale image and the second dielectric characteristic grayscale image is binarized to obtain a second target The grayscale image of the dielectric characteristic may be, but not limited to, a threshold, and the above threshold may be, but not limited to, any positive number. For example, a threshold value of 130 is set. When the first dielectric characteristic gray image is binarized, the area with a gray value less than 130 is set to a gray value of 0, and the area with a gray value greater than 130 is set to The gray value is 255, so as to realize the binarization process of the first dielectric characteristic gray image.

As shown in FIG. 3, FIG. 3 is a schematic diagram of an optional binary image of the first / two dielectric characteristic grayscale image.

Through this embodiment, the first target characteristic grayscale image is obtained by binarizing the first dielectric characteristic grayscale image; the second dielectric characteristic grayscale image is subjected to binarization processing to obtain the second The target dielectric characteristic grayscale image can be compared with the first target dielectric characteristic grayscale image and the second target dielectric characteristic grayscale image, thereby improving the identification accuracy and accuracy of the target paper product.

S1, acquiring the gray value of the first region of the first dielectric characteristic gray image, and the gray value of the second region corresponding to the first region in the second dielectric characteristic gray image;

S2. Compare the gray value of the first area with the gray value of the second area to obtain a comparison result.

Optionally, the above-mentioned first area may be, but not limited to, one pixel or a plurality of pixels in the first dielectric characteristic grayscale image, and the above-mentioned first area may but not limited to include one area or multiple areas. The above-mentioned second area may be, but not limited to, one pixel or a plurality of pixels in the second dielectric characteristic grayscale image. The above-mentioned second area may, but not limited to, include one area or multiple areas. For example, taking the above-mentioned first region as a plurality of regions in the first dielectric characteristic grayscale image and the second region as a plurality of regions in the second dielectric characteristic grayscale image, as shown in FIG. 4. 4 is a schematic diagram of a grayscale image of the first dielectric characteristic of an optional 100-yuan banknote. 4 includes a first area 402, and the first area 402 includes 402-1, 402-2, and 402-3. 402-1 is a portrait watermark area, 402-2 is an optically variable ink 100 character, and 402-3 is a zebra crossing area . At the same time, Figure 4 also contains the 404 security line area, 406 ink printing head image area and even the white watermark area not marked in Figure 4, etc.

As shown in FIG. 5, FIG. 5 is a schematic diagram of a second dielectric characteristic gray-scale image of a 50-yuan banknote. FIG. 5 includes a second area 502, and the second area 502 includes 502-1 and 502-2, where 502-1 is a portrait watermark area and 502-2 is a pixel. FIG. 5 also includes the zebra crossing area 504 and the ink portrait area 506 and the white watermark area not marked in FIG. 5.

It should be noted that FIGS. 4 and 5 are only examples, and do not constitute a limitation on the present application.

With this embodiment, by comparing the gray value of the first dielectric characteristic gray image with the gray value of the second dielectric characteristic gray image, the accuracy and precision of identifying the target paper product are improved.

As an alternative embodiment, the position of the first region in the first dielectric characteristic grayscale image is the same as the position of the second region in the second dielectric characteristic grayscale image, comparing The gray value and the gray value of the second area, the comparison result includes:

S1, compare the gray value of the i-th pixel in the first area with the gray value of the i-th pixel in the second area, i is a positive integer less than or equal to N and greater than or equal to 1; N is the first area The total number of pixels in, and N is the total number of pixels in the second area, N is a positive integer;

S2. In the case where the gray value of the pixel in the first area differs from the gray value of the pixel in the second area, it is determined that the target paper product is identified as false.

For example, taking 3 pixels in the first area as an example, and 3 pixels in the second area as an example, the first pixel in the first area is compared with the first pixel in the second area in sequence, Compare the second pixel in the first area with the second pixel in the second area, and compare the third pixel in the first area with the third pixel in the second area. If the gray value of a pair of pixels is different during the comparison, the target paper product is false.

It should be noted that, in the process of comparing the gray value of the i-th pixel in the first area with the gray value of the i-th pixel in the second area, an error is allowed in the gray value. For example, set an error value u, u can be any positive number. In the case where the absolute value of the difference between the gray value of the i-th pixel in the first area and the gray value of the i-th pixel in the second area is less than or equal to u, the i-th pixel in the first area is considered The gray value of the pixel is equal to the gray value of the ith pixel in the second area.

Through this embodiment, the target paper product is identified by the above method, thereby improving the accuracy and precision of the identification of the target paper product.

S1, repeat the following steps until the gray values of all pixels in the first area and the gray values of all pixels in the second area are traversed: compare the gray values of the i-th pixel in the first area with the second The gray value of the i-th pixel in the area, i is a positive integer less than or equal to N and greater than or equal to 1; N is the total number of pixels in the first area, and N is the total number of pixels in the second area, and N is Positive integer; when the gray value of the i-th pixel in the first area is different from the gray value of the i-th pixel in the second area, add 1 to the parameter M, where the parameter M is used to record the first area The number of pixels whose gray value of the middle pixel is different from the gray value of the pixel in the second area, M is a positive integer greater than or equal to 0;

S2, when the parameter M is less than the first threshold, it is determined that the identification of the target paper product is true;

S3, if the parameter M is greater than or equal to the first threshold, it is determined that the target paper product is identified as false.

For example, taking three pixels in the first area and three pixels in the second area as an example, the first pixel in the first area is compared with the first pixel in the second area in sequence. The second pixel in the first area and the second pixel in the second area are compared with the third pixel in the first area and the third pixel in the second area. During the comparison, the number of pixel pairs with different gray values is greater than a preset first threshold. For example, if two pairs of pixel pairs have different gray values, and the first threshold is set to 1, the target paper product False. If a pair of pixel pairs have different gray values or all pixel pairs have the same gray value, the target paper product is true.

It should be noted that, in the process of comparing the gray value of the i-th pixel in the first area with the gray value of the i-th pixel in the second area, an error is allowed in the gray value. For example, set an error value u, u can be any positive number. In the case where the absolute value of the difference between the gray value of the i-th pixel in the first area and the gray value of the i-th pixel in the second area is less than or equal to u, it is considered that the i-th pixel in the first area The gray value of the pixel is equal to the gray value of the ith pixel in the second area.

Through this embodiment, the target paper product is identified by the above method, thereby improving the identification accuracy and accuracy of the target paper product.

This embodiment provides an optional structural diagram of the above dielectric characteristic sensor. As shown in FIG. 6, the above-mentioned junction characteristic sensor is composed of the discrimination unit 602 and the rod-shaped electrode 604. The discriminating unit 602 and the rod-shaped electrode 604 are relatively spaced apart in the first direction to form a transmission channel 606 (as indicated by the arrow in FIG. 6, the paper product to be authenticated can be transmitted in the direction of the arrow or against the direction of the arrow). The discriminating unit 602 includes a frame 602-2. A substrate 602-4 is provided in the frame 602-2, and a dielectric characteristic detection chip 602-6 arranged in a second direction is provided on the substrate 602-4. One direction is perpendicular to the moving direction of the paper product to be identified; the substrate 602-4 is also provided with an input and output interface circuit 602-8. A protective cover 602-10 is provided above the dielectric characteristic detection chip 602-6 for protecting the dielectric characteristic detection chip 602-6. When the target paper product to be detected passes through the dielectric property sensor, the rod electrode 604 applies a pulse voltage, and a signal representing the dielectric property of the target paper product is output from the input / output interface circuit 602-8.

It should be noted that the dielectric characteristic sensor shown in FIG. 6 is only an optional example, and this embodiment does not limit it.

It should be noted that, for the sake of simple description, the foregoing method embodiments are all expressed as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the sequence of actions described. Because according to the invention, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

According to another aspect of the embodiments of the present invention, a paper product identification device for implementing the above paper product identification method is also provided. As shown in Figure 7, the device includes:

(1) Dielectric characteristic sensor 702, used to collect the first dielectric characteristic signal of the target paper product to be identified, and also used to collect the second dielectric characteristic signal of the sample paper product, where the sample paper product is Verified paper products;

(2) The image generation module 704 is connected to the dielectric characteristic sensor, and is used to perform analog-to-digital conversion on the first dielectric characteristic signal of the target paper product collected by the dielectric characteristic sensor to obtain a first dielectric characteristic grayscale image, It is also used to perform analog-to-digital conversion on the second dielectric characteristic signal of the sample paper product collected by the dielectric characteristic sensor to obtain a second dielectric characteristic grayscale image;

(3) The image processor 706, connected to the image generation module, is used to perform comparison processing on the first dielectric characteristic grayscale image and the second dielectric characteristic grayscale image;

(4) The prompter 708 is connected to the image processor, and is used for prompting the authenticity of the target paper product according to the comparison result output by the image processor.

Optionally, the above-mentioned paper product identification device can be applied to, but not limited to, a banknote detector, an integrated deposit and withdrawal machine, or any other terminal that can obtain the dielectric properties of the paper product to be identified. For example, it is installed on a wristwatch equipped with a dielectric characteristic detection or a handheld device equipped with a dielectric characteristic detection.

Optionally, the above paper product identification device may be, but not limited to, applied to the process of identifying banknotes or the process of identifying bills.

An example will be described in which the above paper product identification device is applied to the process of identifying banknotes. In the process of discriminating banknotes, obtain the first dielectric characteristic gray image of the target paper product to be authenticated and the second dielectric characteristic gray image of the sample paper product that has been verified, and compare the first media The grayscale image of the electrical characteristic and the grayscale image of the second dielectric characteristic obtain a comparison result, and the comparison result is used to indicate the authenticity of the target paper product. According to the comparison result, the identification information of the target paper product is presented, so that the authenticity of the target paper product can be obtained.

It should be noted that, in the related art, in the process of verifying the authenticity of banknotes, the dielectric characteristic signal of the banknote to be authenticated is usually collected, and the dielectric characteristic signal of the real banknote is obtained, and the The characteristic signal, so as to obtain the authenticity of the banknote to be authenticated. However, because the above method usually obtains rough dielectric characteristic signals of banknotes for comparison, that is, the entire banknote can only take a few channels of dielectric characteristic signals, and no image can be generated, resulting in low accuracy and precision in the process of discriminating banknotes. In this embodiment, by comparing the first dielectric characteristic gray image of the target paper product to be identified with the second dielectric characteristic gray image of the sample paper product that has been verified, the gray image can be directly compared By comparing, the accuracy and precision of the identification of banknotes are improved.

Optionally, the above device may include, but is not limited to, a memory for storing the second dielectric characteristic grayscale image of the sample paper product and the first dielectric characteristic grayscale image of the target paper product. The conveyor is used to transfer the target paper product to be detected to the dielectric characteristic sensor, and according to the comparison result, the target paper product identified as true and the target paper product identified as false are transported to different areas.

Optionally, when prompting the identification information matching the target paper product according to the comparison result, it may be, but is not limited to, prompting by any one or more of sound, image, text, and the like. For example, a beep sound is issued: "This is true", or the message "This is true" is displayed. Or, the above-mentioned prompting authentication information may be, but not limited to, transmitting a signal carrying authentication information, so that other devices can process the target paper product according to the authentication information in the signal.

As an optional embodiment, the image generation module 704 includes:

(1) Analog-to-digital converter, one end of which is connected to the dielectric characteristic sensor Characteristic grayscale image; also used to perform analog-to-digital conversion on the second dielectric characteristic signal of the sample paper product collected by the dielectric characteristic sensor to obtain a second original dielectric characteristic grayscale image;

(2) A filter, one end of which is connected to an analog-to-digital converter and the other end is connected to an image processor, which is used to perform noise reduction processing on the first original dielectric characteristic grayscale image to obtain the first dielectric characteristic grayscale image; It is used to perform noise reduction processing on the second original dielectric characteristic grayscale image to obtain a second dielectric characteristic grayscale image.

Optionally, a pulse voltage is applied to the target paper product through the dielectric property sensor, and the first dielectric property signal of the target paper product is acquired at the output interface, and a pulse voltage is applied to the sample paper product through the dielectric property sensor , And the second dielectric characteristic signal of the sample paper product is obtained at the output interface.

As an optional embodiment, the image processor 706 includes:

(1) An image binarization processor, one end of which is connected to the image generation module. The binarization processor is used to binarize the first dielectric characteristic grayscale image to obtain the first target dielectric characteristic grayscale image; Used to binarize the second dielectric characteristic grayscale image to obtain a second target dielectric characteristic grayscale image;

(2) The first comparator, one end of which is connected to the binarization processor and the other end of which is connected to the prompter, and is used to perform comparison processing on the first dielectric characteristic grayscale image and the second dielectric characteristic grayscale image.

As an optional embodiment, the image processor 706 includes:

(1) The second comparator is used to compare the gray value of the first region of the first dielectric characteristic gray image and the second region corresponding to the first region in the second dielectric characteristic gray image Gray value, get the comparison result.

As an alternative embodiment, the position of the first region in the first dielectric characteristic grayscale image is the same as the position of the second region in the second dielectric characteristic grayscale image, and the second comparator also uses To perform the following steps:

S2, when the gray value of the pixel in the first area is different from the gray value of the pixel in the second area, it is determined that the comparison result is that the target paper product is identified as false.

The above comparison result may be, but not limited to, 0 or 1.

For example, taking 3 pixels in the first area as an example, and 3 pixels in the second area as an example, the first pixel in the first area is compared with the first pixel in the second area in sequence, Compare the second pixel in the first area with the second pixel in the second area, and compare the third pixel in the first area with the third pixel in the second area. If the gray value of a pair of pixels is different during the comparison, the comparison result is 0, indicating that the target paper product is false.

Repeat the following steps until the gray values of all the pixels in the first area and the gray values of all the pixels in the second area are traversed: compare the gray values of the i-th pixel in the first area and the second area The gray value of the i-th pixel, i is a positive integer less than or equal to N and greater than or equal to 1; N is the total number of pixels in the first area, and N is the total number of pixels in the second area, and N is a positive integer ; In the case where the gray value of the i-th pixel in the first area is different from the gray value of the i-th pixel in the second area, add 1 to the parameter M, where the parameter M is used to record the pixels in the first area The number of pixels whose gray value is different from the gray value of the pixels in the second area, M is a positive integer greater than or equal to 0;

In the case where the parameter M is less than the first threshold, it is determined that the comparison result is that the claimed paper product is identified as true;

If the parameter M is greater than or equal to the first threshold, it is determined that the comparison result is that the target paper product is identified as false.

Optionally, the above comparison result may be, but not limited to, 0 or 1.

For example, taking three pixels in the first area and three pixels in the second area as an example, the first pixel in the first area is compared with the first pixel in the second area in sequence. The second pixel in the first area and the second pixel in the second area are compared with the third pixel in the first area and the third pixel in the second area. During the comparison, the number of pixel pairs with different gray values is greater than a preset first threshold. For example, if the gray values of two pairs of pixels are different, and the first threshold is set to 1, the comparison result is 0, indicating that the target paper product is false. If the gray value of a pair of pixel pairs is different or the gray value of all pixel pairs is the same, the comparison result is 1, indicating that the target paper product is true.

This embodiment provides an optional structural diagram of the above dielectric characteristic sensor. As shown in FIG. 6, the above-mentioned junction characteristic sensor is composed of the discrimination unit 602 and the rod-shaped electrode 604. The discriminating unit 602 and the rod-shaped electrode 604 are relatively spaced apart in the first direction to form a transmission channel 606 (as indicated by the arrow in FIG. 6, the paper product to be authenticated can be transmitted in the direction of the arrow or against the direction of the arrow). The discriminating unit 602 includes a frame 602-2. A substrate 602-4 is provided in the frame 602-2, and a dielectric characteristic detection chip 602-6 arranged in a second direction is provided on the substrate 602-4. One direction is perpendicular to the moving direction of the paper product to be identified; the substrate 602-4 is also provided with an input and output interface circuit 602-8. A protective cover 602-10 is provided above the dielectric characteristic detection chip 602-6 for protecting the dielectric characteristic detection chip 602-6. When the target paper product to be detected passes through the dielectric property sensor, the rod electrode 604 applies a pulse voltage, and outputs a signal representing the dielectric property of the target paper product from the input / output interface circuit 602-8.

According to yet another aspect of the embodiments of the present invention, there is also provided a storage medium that stores a computer program, wherein the computer program is configured to execute the steps in any one of the foregoing method embodiments during runtime.

Optionally, in this embodiment, the above storage medium may be set to store a computer program for performing the following steps:

S1: Obtain the first grayscale image of the dielectric properties of the target paper product to be identified and the second grayscale image of the dielectric properties of the sample paper product, where the sample paper product is a verified paper product;

S2, comparing the first dielectric characteristic gray image and the second dielectric characteristic gray image to obtain a comparison result, wherein the comparison result is used to indicate the authenticity of the target paper product;

S3. According to the comparison result, the identification information matching the target paper product is presented.

Optionally, in this embodiment, a person of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing hardware related to the terminal device through a program, and the program can be stored in a In the computer-readable storage medium, the storage medium may include: a flash disk, a read-only memory (Read-Only Memory, ROM), a random access device (Random Access Memory, RAM), a magnetic disk, or an optical disk.

The sequence numbers of the above embodiments of the present invention are for description only, and do not represent the advantages and disadvantages of the embodiments.

If the integrated unit in the above embodiment is implemented in the form of a software functional unit and sold or used as an independent product, it may be stored in the computer-readable storage medium. Based on this understanding, the technical solution of the present invention essentially or part of the contribution to the existing technology or all or part of the technical solution can be embodied in the form of a software product, the computer software product is stored in a storage medium, Several instructions are included to enable one or more computer devices (which may be personal computers, servers, network devices, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention.

In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For a part that is not detailed in an embodiment, you can refer to the related descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed client may be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the unit is only a logical function division. In actual implementation, there may be another division manner, for example, multiple units or components may be combined or may Integration into another system, or some features can be ignored, or not implemented. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, units or modules, and may be in electrical or other forms.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or software functional unit.

The above is only the preferred embodiment of the present invention. It should be pointed out that for those of ordinary skill in the art, without departing from the principles of the present invention, several improvements and retouches can be made. These improvements and retouches also It should be regarded as the protection scope of the present invention.

Claims

A paper product identification method, characterized in that it includes:

Acquiring a first dielectric characteristic gray image of the target paper product to be identified and a second dielectric characteristic gray image of the sample paper product, wherein the sample paper product is a verified paper product;

Comparing the first dielectric characteristic grayscale image with the second dielectric characteristic grayscale image to obtain a comparison result, wherein the comparison result is used to indicate the authenticity of the target paper product;

According to the comparison result, the identification information matching the target paper product is presented.
The method according to claim 1, wherein the acquiring the first grayscale image of the dielectric properties of the target paper product to be identified and the second grayscale image of the dielectric properties of the sample paper product include:

Acquiring a first dielectric characteristic signal of the target paper product, performing analog-to-digital conversion on the first dielectric characteristic signal, to obtain the first dielectric characteristic grayscale image;

Obtaining a second dielectric characteristic signal of the sample paper product, and performing analog-to-digital conversion on the second dielectric characteristic signal to obtain the second dielectric characteristic grayscale image.
The method according to claim 2, characterized in that

The acquiring the first dielectric characteristic signal of the target paper product and performing analog-to-digital conversion on the first dielectric characteristic signal to obtain the first dielectric characteristic grayscale image includes: acquiring the target paper quality The first dielectric characteristic signal of the product; performing analog-to-digital conversion on the first dielectric characteristic signal to obtain a first original dielectric characteristic grayscale image; performing noise reduction processing on the first original dielectric characteristic grayscale image To obtain the grayscale image of the first dielectric characteristic;

The acquiring a second dielectric characteristic signal of the sample paper product, performing analog-to-digital conversion on the second dielectric characteristic signal, and obtaining the second dielectric characteristic grayscale image includes: acquiring the target paper quality Second dielectric characteristic signal of the product; performing analog-to-digital conversion on the second dielectric characteristic signal to obtain a second original dielectric characteristic grayscale image; performing noise reduction processing on the second original dielectric characteristic grayscale image To obtain the grayscale image of the second dielectric characteristic.
The method according to claim 2, wherein the comparing the first dielectric characteristic grayscale image with the second dielectric characteristic grayscale image, and obtaining the comparison result comprises:

Performing binary processing on the first dielectric characteristic grayscale image to obtain a first target dielectric characteristic grayscale image;

Performing binary processing on the second dielectric characteristic grayscale image to obtain a second target dielectric characteristic grayscale image;

Comparing the first target dielectric characteristic grayscale image with the second target dielectric characteristic grayscale image to obtain the comparison result.
The method according to claim 1, wherein the comparing the first dielectric characteristic grayscale image with the second dielectric characteristic grayscale image and obtaining the comparison result comprises:

Acquiring the gray value of the first region of the first dielectric characteristic gray image and the gray value of the second region corresponding to the first region in the second dielectric characteristic gray image;

Comparing the gray value of the first region with the gray value of the second region to obtain the comparison result.
The method according to claim 5, wherein the position of the first region in the first dielectric characteristic grayscale image and the second region in the second dielectric characteristic grayscale image The location is in the same, and comparing the gray value of the first area with the gray value of the second area, and obtaining the comparison result includes:

Sequentially comparing the gray value of the i-th pixel in the first area with the gray value of the i-th pixel in the second area, where i is a positive integer less than or equal to N and greater than or equal to 1; Said N is the total number of pixels in the first area, and N is the total number of pixels in the second area, and N is a positive integer;

In the case where the gray value of the pixel in the first area differs from the gray value of the pixel in the second area, it is determined that the target paper product is identified as false.
The method according to claim 5, wherein the position of the first region in the first dielectric characteristic grayscale image and the second region in the second dielectric characteristic grayscale image The location is in the same, and comparing the gray value of the first area with the gray value of the second area, and obtaining the comparison result includes:

Repeat the following steps until the gray values of all pixels in the first area and the gray values of all pixels in the second area are traversed: compare the gray values of the i-th pixel in the first area And the gray value of the i-th pixel in the second area, where i is a positive integer less than or equal to N and greater than or equal to 1; the N is the total number of pixels in the first area, and Said N is the total number of pixels in the second area, and N is a positive integer; the gray value of the i-th pixel in the first area and the gray value of the i-th pixel in the second area When the values are different, add 1 to the parameter M, where the parameter M is used to record the number of pixels with different gray values of the pixels in the first area and the gray values of the pixels in the second area, The M is a positive integer greater than or equal to 0;

If the parameter M is less than the first threshold, it is determined that the target paper product identification is true;

If the parameter M is greater than or equal to the first threshold, it is determined that the target paper product is identified as false.
A paper product identification device, characterized in that the device includes:

Dielectric characteristic sensor, used to collect the first dielectric characteristic signal of the target paper product to be identified, and also used to collect the second dielectric characteristic signal of the sample paper product, wherein the sample paper product is passed Verified paper products;

An image generation module, connected to the dielectric characteristic sensor, is used to perform analog-to-digital conversion on the first dielectric characteristic signal of the target paper product collected by the dielectric characteristic sensor to obtain a first dielectric characteristic The grayscale image is also used to perform analog-to-digital conversion on the second dielectric characteristic signal of the sample paper product collected by the dielectric characteristic sensor to obtain a second dielectric characteristic grayscale image;

An image processor, connected to the image generation module, for performing comparison processing on the first dielectric characteristic grayscale image and the second dielectric characteristic grayscale image;

The prompter is connected to the image processor, and is used for prompting the authenticity of the target paper product according to the comparison result output by the image processor.
The apparatus according to claim 8, wherein the image generation module comprises:

An analog-to-digital converter, one end of which is connected to the dielectric characteristic sensor, and the analog-to-digital converter is used to perform analog-to-digital conversion on the first dielectric characteristic signal of the target paper product collected by the dielectric characteristic sensor To obtain a first grayscale image of the original dielectric characteristic; also used to perform analog-to-digital conversion on the second dielectric characteristic signal of the sample paper product collected by the dielectric characteristic sensor to obtain a second original dielectric Characteristic grayscale image;

A filter, one end of which is connected to the analog-to-digital converter and the other end of which is connected to the image processor, is used to perform noise reduction processing on the first original dielectric characteristic grayscale image to obtain the first dielectric characteristic Grayscale image; also used to perform noise reduction processing on the second original dielectric characteristic grayscale image to obtain the second dielectric characteristic grayscale image.
The apparatus according to claim 8, wherein the image processor comprises:

An image binarization processor, one end of which is connected to the image generation module, and the binarization processor is used to binarize the first dielectric characteristic grayscale image to obtain a first target dielectric characteristic grayscale Image; also used for binarizing the second dielectric characteristic grayscale image to obtain a second target dielectric characteristic grayscale image;

A first comparator, one end of which is connected to the binarization processor, and the other end is connected to the prompter, which is used to execute the first dielectric characteristic grayscale image and the second dielectric characteristic grayscale image Compare processing.
The apparatus according to claim 8, wherein the image processor comprises:

A second comparator for comparing the gray value of the first region of the first dielectric characteristic gray image, and the first corresponding to the first region in the second dielectric characteristic gray image The gray value of the two regions, the comparison result is obtained.
The device according to claim 11, wherein the position of the first region in the first dielectric characteristic grayscale image and the second region in the second dielectric characteristic grayscale image The same position is in, the second comparator is also used to perform the following steps:

Sequentially comparing the gray value of the i-th pixel in the first area with the gray value of the i-th pixel in the second area, where i is a positive integer less than or equal to N and greater than or equal to 1; Said N is the total number of pixels in the first area, and N is the total number of pixels in the second area, and N is a positive integer;

When the gray value of the pixel in the first area and the gray value of the pixel in the second area are different, it is determined that the comparison result is that the target paper product is identified as false.
The device according to claim 11, wherein the position of the first region in the first dielectric characteristic grayscale image and the second region in the second dielectric characteristic grayscale image The same position is in, the second comparator is also used to perform the following steps:

Repeat the following steps until the gray values of all pixels in the first area and the gray values of all pixels in the second area are traversed: compare the gray values of the i-th pixel in the first area And the gray value of the i-th pixel in the second area, where i is a positive integer less than or equal to N and greater than or equal to 1; the N is the total number of pixels in the first area, and Said N is the total number of pixels in the second area, and N is a positive integer; the gray value of the i-th pixel in the first area and the gray value of the i-th pixel in the second area When the values are different, add 1 to the parameter M, where the parameter M is used to record the number of pixels with different gray values of the pixels in the first area and the gray values of the pixels in the second area, The M is a positive integer greater than or equal to 0;

If the parameter M is less than the first threshold, it is determined that the comparison result is that the target paper product is identified as true;

If the parameter M is greater than or equal to the first threshold, it is determined that the comparison result is that the target paper product is identified as false.
A storage medium storing a computer program, wherein the computer program executes the method described in any one of claims 1 to 7 when the computer program runs.