CN111599081A - Method and system for collecting and dividing RMB paper money - Google Patents
Method and system for collecting and dividing RMB paper money Download PDFInfo
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- CN111599081A CN111599081A CN202010411460.9A CN202010411460A CN111599081A CN 111599081 A CN111599081 A CN 111599081A CN 202010411460 A CN202010411460 A CN 202010411460A CN 111599081 A CN111599081 A CN 111599081A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/20—Testing patterns thereon
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/20—Testing patterns thereon
- G07D7/2016—Testing patterns thereon using feature extraction, e.g. segmentation, edge detection or Hough-transformation
Abstract
The invention provides a method and a system for collecting and dividing RMB paper money, wherein an image capturing device can acquire a conventional paper money image and can also clearly acquire a watermark and a fluorescence image on the paper money. And performing primary identification by identifying the main features of the acquired images, then further classifying the images according to the image information classifier with slight differences trained in the classification library in advance, and finally outputting the specific classification features of the paper money. The method can help better position the market value and the appreciation space of the collection by carefully dividing the collection of the RMB paper money, can intelligently identify and automatically divide, improves the accuracy of classifying the collection of the RMB paper money, and helps collectors to carry out systematic classification and identification of fine characteristics.
Description
Technical Field
The invention relates to a method and a system for collecting and dividing RMB paper money.
Background
Different from the classification of common paper money, the classification of the collection of the RMB paper money also comprises the further classification of slight color, crown number, shading, secret mark, fluorescence and watermark difference in the same category besides the preliminary classification of the year and the denomination.
Therefore, the market value and the appreciation space of the RMB paper money collection can be better positioned, and the collectors can be helped to perform systematic classification and fine feature recognition.
Disclosure of Invention
The invention aims to provide a method and a system for collecting and dividing RMB paper money.
In order to solve the above problems, the present invention provides a method for collecting and dividing RMB paper money, comprising:
acquiring an image of a paper currency to be identified;
extracting main features of the banknote image to be identified;
inputting the main body characteristics of the paper money image to be identified into a preset RMB collection classification library for preliminary classification;
and according to the primary classification, inputting the image of the corresponding area of the banknote image to be recognized into a pre-trained image information classifier corresponding to the primary classification for subdivision.
Further, in the above method, acquiring an image of the bill to be recognized includes:
and acquiring RGB color images of the front and back violet wavelength irradiation and the white light perspective of the paper money to be identified through an image acquisition device of an image acquisition unit.
Further, in the above method, extracting a main feature of the banknote image to be recognized includes:
and extracting the year characteristic data and the denomination characteristic data of the banknote image to be identified.
Further, in the above method, before extracting the main features of the banknote image to be recognized, the method further includes:
and segmenting the image area to be detected of the year characteristic and the denomination characteristic of the banknote image to be identified.
Further, in the above method, according to the preliminary classification, inputting the image of the area corresponding to the banknote image to be recognized into a pre-trained image information classifier corresponding to the preliminary classification for subdivision, including:
and according to the primary classification, inputting the image of the corresponding area of the banknote image to be recognized into a pre-trained image information classifier corresponding to the primary classification for subdivision including colors, patterns, crown numbers, shading and secret marks.
Further, in the above method, before the step of inputting the image of the region corresponding to the banknote image to be recognized into a pre-trained image information classifier corresponding to the preliminary classification for subdivision according to the preliminary classification, the method further includes:
and respectively training by adopting a convolutional neural network classifier to obtain preset target image information of which each preliminary class contains various corresponding subdivisions, and storing the preset target image information into the classified image information classifier.
Further, in the method, the step of inputting the image of the area corresponding to the banknote image to be recognized into a pre-trained image information classifier corresponding to the preliminary classification for subdivision includes:
and inputting the image of the corresponding area of the banknote image to be recognized into a pre-trained image information classifier corresponding to the preliminary classification for decoding, left-right turning, color adjustment, standardization, size adjustment and marking of the subdivided area to be detected.
According to another aspect of the present invention, there is also provided a renminbi banknote collection and division system, comprising:
the image acquisition unit is used for acquiring an image of the paper money to be identified, and comprises an RGB color image for acquiring ultraviolet wavelength irradiation and white light perspective of the front and back sides of the paper money to be identified;
the characteristic identification unit is used for identifying the main body characteristic and the subdivision characteristic of the banknote image to be identified;
the image segmentation unit is used for segmenting preset images to be detected at different positions;
and the judging and classifying unit is used for classifying according to the image characteristics of different classification stages and a preset classification library.
Compared with the prior art, the invention provides the method and the system for intelligently dividing the collection of the Renminbi paper money by adopting the image recognition technology, so that the intelligent recognition and automatic classification of the collection of the Renminbi paper money are realized, and the precision of the fine difference recognition of the collection of the Renminbi paper money and the accuracy of the systematic classification are improved.
Drawings
FIG. 1 is a flow chart of RMB banknote collection and division based on image recognition provided by an embodiment of the invention;
FIG. 2 is a diagram of a system for collecting and dividing RMB bank notes based on image recognition according to an embodiment of the present invention;
fig. 3 is a diagram of an image capturing device according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
As shown in fig. 1, the present invention provides a method for collecting and dividing rmb paper money, comprising:
step S1, acquiring an image of the paper money to be identified;
step S2, extracting the main body characteristics of the banknote image to be identified;
step S3, inputting the main body characteristics of the banknote image to be identified into a preset RMB collection classification library for preliminary classification;
and step S4, according to the preliminary classification, inputting the corresponding area image of the banknote image to be recognized into a pre-trained image information classifier corresponding to the preliminary classification for subdivision.
The invention provides a method and a system device for collecting and dividing the Renminbi paper money based on image recognition, so that the classification result of the Renminbi paper money collection is more specific and accurate.
In an embodiment of the method for collecting and dividing rmb banknotes, in step S1, the obtaining of the image of the banknote to be recognized includes:
and acquiring RGB color images of the front and back violet wavelength irradiation and the white light perspective of the paper money to be identified through an image acquisition device of an image acquisition unit.
Specifically, as shown in fig. 2, the image capturing apparatus includes: the lamp comprises a lampshade 01, a lamp post 02, a bearing platform 03, an image taking opening 04 and a lamp tube 05.
The LED white light source is arranged in the bearing platform, the white light cover plate is arranged on the upper surface of the bearing platform, the paper money collection can be placed on the white light cover plate, the watermarks and the metal wires can be seen through when the white light is irradiated, and the watermarks, the metal wires, the patterns, the decorative patterns and the like can be checked for definition.
The lamp tube is a long-wave lamp tube of 6-12W, the wavelength is 365nm, all the articles with fluorescent ink (fluorescent powder) and fiber have a fluorescent reaction phenomenon under the irradiation of the purple light long wave, and the fluorescent color or the fluorescent ink pattern of the RMB paper currency collection can be obtained through the fluorescent reaction phenomenon.
In an embodiment of the method for collecting and dividing rmb banknotes, in step S2, the extracting the main features of the banknote image to be recognized includes:
and extracting the year characteristic data and the denomination characteristic data of the banknote image to be identified.
Here, the extracting of the main body feature of the banknote image to be recognized may include year feature data and denomination feature data.
In an embodiment of the method for collecting and dividing rmb banknotes, in step S2, before extracting the main features of the banknote image to be recognized, the method further includes:
and segmenting the image area to be detected of the year characteristic and the denomination characteristic of the banknote image to be identified.
Here, the specific area image needs to be divided, including division of the region to be measured of the year feature and denomination feature of the rmb banknote collection.
And transmitting the divided region image information to an image digital identifier, and identifying that the main body characteristics of the banknote image to be identified comprise year characteristic data and denomination characteristic data.
In an embodiment of the method for collecting and dividing rmb banknotes, in step S4, according to the preliminary classification, the step of inputting the image of the area corresponding to the banknote image to be recognized into a pre-trained image information classifier corresponding to the preliminary classification for subdivision includes:
and according to the primary classification, inputting the image of the corresponding area of the banknote image to be recognized into a pre-trained image information classifier corresponding to the primary classification for subdivision including colors, patterns, crown numbers, shading and secret marks.
Here, the subdivision includes: color, pattern, crown, shading, and a secret.
The different categories have different subdivisions, some colors contain fluorescence, some patterns contain fluorescent ink patterns, watermark patterns and the like, and the acquired image information is selected for identification according to the specific subdivisions of the different categories.
In an embodiment of the method for collecting and dividing rmb banknotes, step S4, before the step of inputting the image of the area corresponding to the banknote image to be recognized into the pre-trained image information classifier corresponding to the preliminary classification for subdivision according to the preliminary classification, further includes:
and respectively training by adopting a convolutional neural network classifier to obtain preset target image information of which each preliminary class contains various corresponding subdivisions, and storing the preset target image information into the classified image information classifier.
In an embodiment of the method for collecting and dividing the RMB banknote, the step of inputting the image of the corresponding area of the banknote image to be identified into the image information classifier which is trained in advance and corresponds to the preliminary classification for subdivision comprises the following steps:
and inputting the image of the corresponding area of the banknote image to be recognized into a pre-trained image information classifier corresponding to the preliminary classification for decoding, left-right turning, color adjustment, standardization, size adjustment and marking of the subdivided area to be detected.
According to another aspect of the present invention, there is also provided a renminbi banknote collection and division system, comprising:
the image acquisition unit is used for acquiring an image of the paper money to be identified, and comprises an RGB color image for acquiring ultraviolet wavelength irradiation and white light perspective of the front and back sides of the paper money to be identified;
the characteristic identification unit is used for identifying the main body characteristic and the subdivision characteristic of the banknote image to be identified;
the image segmentation unit is used for segmenting preset images to be detected at different positions;
and the judging and classifying unit is used for classifying according to the image characteristics of different classification stages and a preset classification library.
In the third exemplary set of renminbi collection which has stopped circulation, the 60-year edition double circle is primarily divided into two parts, namely, a year image at the same position at the middle lower part of the front side and the back side and a 2 character at the right side of the front side and the front side, and the common characteristics of the two parts are the face size, the three-character crown, the seven-character number and the lathe worker production drawing main body pattern;
however, the collection also has two kinds of paper money paper, namely a hollow pentagram and ancient coin mixed watermark and a national flag pentagram watermark, which need to be further subdivided, the image capturing device provided by the embodiment of the invention is used for acquiring a white light transmission type image of the collection, and a pre-trained image information classifier is used for identifying which pattern the watermark in the paper money paper is formed by and then outputting the pattern.
It should be noted that, in the embodiment of the present invention, classification of other collections is not listed, but only the flow chart for clearly describing the implementation of the embodiment of the present invention is shown.
In the embodiment of the invention, a convolutional neural network image information classifier for subdivision is constructed in advance.
In order to make the output result of the classifier more accurate, before the above steps, the convolutional neural network is trained, a large number of samples are constructed for a certain class of preset target image information containing various subdivisions, and the samples are divided into a training sample set and a test sample set according to the proportion of 80% to 20% for training.
It should be noted that the training method includes: image information preprocessing, setting a network structure of the neural network, determining parameters of a convolutional layer, a pooling layer and a full-link layer, initializing a network model, marking the size, detecting contour parameters and the like.
The program algorithm is basically consistent with a classical convolutional neural network, and the invention mainly aims at setting and optimizing different network structure models for different embodiments so as to more specifically identify slight differences of certain types of features.
Further, a convolutional neural network classifier is adopted to train to obtain a certain class of preset target image information containing various subdivisions, and the preset target image information is stored in the classified image information classifier.
The image information preprocessing flow comprises the following steps:
decoding processing, left-right turning, color adjustment, standardization processing, size adjustment and marking of the subdivided region to be identified of the banknote image to be identified.
The invention also provides a system device for collecting and dividing RMB paper money, which only shows the parts relevant to the embodiment of the invention for convenience of description and is detailed as follows:
as shown in fig. 3, the rmb banknote collection and division system device includes: an image acquisition unit 31, a feature recognition unit 32, an image segmentation unit 33, and a judgment classification unit 34.
The image acquisition unit 31 is used for acquiring an image of the paper money to be identified, and comprises an RGB color image for acquiring ultraviolet wavelength irradiation and white light perspective of the front and back sides of the paper money to be identified;
a feature recognition unit 32 for recognizing the main features and the subdivision features of the banknote image to be recognized;
an image segmentation unit 33, configured to segment preset images to be detected at different positions;
and the judgment and classification unit 34 classifies the images according to the image characteristics of different classification stages and a preset classification library.
Further, in the above system, the specific working process of the unit may refer to the corresponding process in the foregoing method embodiment, and is not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
In summary, the invention provides an intelligent identification and division method and system for collection of RMB paper money. The image capturing device can acquire a conventional banknote image and can also clearly acquire a watermark and a fluorescence image on the banknote. And performing primary identification by identifying the main features of the acquired images, then further classifying the images according to the image information classifier with slight differences trained in the classification library in advance, and finally outputting the specific classification features of the paper money. The method can help better position the market value and the appreciation space of the collection by carefully dividing the collection of the RMB paper money, can intelligently identify and automatically divide, improves the accuracy of classifying the collection of the RMB paper money, and helps collectors to carry out systematic classification and identification of fine characteristics.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. A collection and division method for Renminbi paper money is characterized by comprising the following steps:
acquiring an image of a paper currency to be identified;
extracting main features of the banknote image to be identified;
inputting the main body characteristics of the paper money image to be identified into a preset RMB collection classification library for preliminary classification;
and according to the primary classification, inputting the image of the corresponding area of the banknote image to be recognized into a pre-trained image information classifier corresponding to the primary classification for subdivision.
2. The method for banknote collection and division of rmb as claimed in claim 1 wherein obtaining an image of a banknote to be identified comprises:
and acquiring RGB color images of the front and back violet wavelength irradiation and the white light perspective of the paper money to be identified through an image acquisition device of an image acquisition unit.
3. The RMB banknote collection and sorting method as claimed in claim 1, wherein extracting the main features of the banknote image to be recognized includes:
and extracting the year characteristic data and the denomination characteristic data of the banknote image to be identified.
4. The method for collecting and dividing RMB paper money as claimed in claim 1, wherein before extracting the main body characteristics of the image of the paper money to be recognized, the method further comprises:
and segmenting the image area to be detected of the year characteristic and the denomination characteristic of the banknote image to be identified.
5. The RMB banknote collection and division method as claimed in claim 1, wherein the step of inputting the image of the corresponding area of the banknote image to be recognized into a pre-trained image information classifier corresponding to the preliminary classification for subdivision according to the preliminary classification comprises the steps of:
and according to the primary classification, inputting the image of the corresponding area of the banknote image to be recognized into a pre-trained image information classifier corresponding to the primary classification for subdivision including colors, patterns, crown numbers, shading and secret marks.
6. The method for collecting and dividing RMB bank notes as claimed in claim 1, wherein before inputting the corresponding region image of the bank note image to be recognized into a pre-trained image information classifier corresponding to the preliminary classification for subdivision according to the preliminary classification, the method further comprises:
and respectively training by adopting a convolutional neural network classifier to obtain preset target image information of which each preliminary class contains various corresponding subdivisions, and storing the preset target image information into the classified image information classifier.
7. The RMB banknote collection and division method as claimed in claim 1, wherein the step of inputting the image of the corresponding area of the banknote image to be recognized into a pre-trained image information classifier corresponding to the preliminary classification for subdivision comprises the steps of:
and inputting the image of the corresponding area of the banknote image to be recognized into a pre-trained image information classifier corresponding to the preliminary classification for decoding, left-right turning, color adjustment, standardization, size adjustment and marking of the subdivided area to be detected.
8. A Renminbi banknote collection and division system is characterized by comprising:
the image acquisition unit is used for acquiring an image of the paper money to be identified, and comprises an RGB color image for acquiring ultraviolet wavelength irradiation and white light perspective of the front and back sides of the paper money to be identified;
the characteristic identification unit is used for identifying the main body characteristic and the subdivision characteristic of the banknote image to be identified;
the image segmentation unit is used for segmenting preset images to be detected at different positions;
and the judging and classifying unit is used for classifying according to the image characteristics of different classification stages and a preset classification library.
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| CN202010411460.9A CN111599081A (en) | 2020-05-15 | 2020-05-15 | Method and system for collecting and dividing RMB paper money |
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Application publication date: 20200828 |