CN108665603B - Method and device for identifying currency type of paper money and electronic equipment - Google Patents
Method and device for identifying currency type of paper money and electronic equipment Download PDFInfo
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- 238000004590 computer program Methods 0.000 claims description 19
- 238000012545 processing Methods 0.000 claims description 16
- 238000010606 normalization Methods 0.000 claims description 12
- 238000003709 image segmentation Methods 0.000 claims description 10
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- 230000006870 function Effects 0.000 description 7
- 230000008569 process Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
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- 238000004891 communication Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
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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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
- G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
- G06V10/446—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering using Haar-like filters, e.g. using integral image techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/50—Extraction of image or video features by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis
- G06V10/507—Summing image-intensity values; Histogram projection analysis
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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
- G07D7/06—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 using wave or particle radiation
- G07D7/12—Visible light, infrared or ultraviolet radiation
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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
- G07D7/202—Testing patterns thereon using pattern matching
- G07D7/206—Matching template patterns
Abstract
The invention is suitable for the technical field of paper currency identification, and provides a method, a device, electronic equipment and a computer readable storage medium for identifying the currency of paper currency, wherein the method comprises the following steps: acquiring an image of a paper currency to be identified; dividing the image of the paper money to be identified into more than two image blocks; judging whether a target paper currency template matched with the paper currency to be identified exists in a preset paper currency template library or not based on the image characteristics of the image block; and if the target paper currency template exists, determining the currency of the paper currency to be identified as the currency corresponding to the target paper currency template. The invention can improve the accuracy of identifying the currency of the paper money.
Description
Technical Field
The invention belongs to the technical field of paper money identification, and particularly relates to a method for identifying the currency of paper money, a device for identifying the currency of paper money, electronic equipment and a computer readable storage medium.
Background
At present, the identification of the currency of paper money is a precondition for identifying the authenticity of the paper money, and the authenticity of the paper money can be identified aiming at the corresponding anti-counterfeiting characteristic only by the counterfeit identification device on the premise of determining the currency of the paper money. In the prior art, the currency of a banknote is generally identified by identifying special characters or images on the banknote, for example, identifying a character avatar on the banknote to determine the currency of the banknote.
However, as trade transactions between countries are gradually increased, the situation that paper currencies of multiple currencies of different countries are mixed together may occur, and when multiple currencies are mixed, because characters corresponding to the currencies are numerous, the recognition workload is increased, and the recognition efficiency is reduced; also, the likelihood of some detection areas being similar between currencies is greatly increased, which reduces the accuracy of banknote denomination identification.
Disclosure of Invention
In view of the above, the present invention provides a method, an apparatus, an electronic device and a computer readable storage medium for identifying a currency of a banknote, which can improve the accuracy of identifying the currency of the banknote.
A first aspect of the invention provides a method of identifying a currency of a banknote, the method comprising:
acquiring an image of a paper currency to be identified;
dividing the image of the paper money to be identified into more than two image blocks;
judging whether a target paper currency template matched with the paper currency to be identified exists in a preset paper currency template library or not based on the image characteristics of the image block;
and if the target paper currency template exists, determining the currency of the paper currency to be identified as the currency corresponding to the target paper currency template.
Based on the first aspect, in a first possible implementation manner of the first aspect, before the determining, based on the image features of the image blocks, whether a target banknote template matching the banknote to be recognized exists in a preset banknote template library, the method further includes:
acquiring the overall characteristics of the paper money to be identified, wherein the overall characteristics at least comprise one of the following characteristics: length features, width features, brightness distribution features of corresponding images, magnetic features, ultraviolet image features and infrared image features;
based on the overall characteristics, selecting a candidate paper currency template matched with the paper currency to be identified from a preset paper currency template library;
the method for judging whether a target paper currency template matched with the paper currency to be identified exists in a preset paper currency template library or not based on the image characteristics of the image block comprises the following steps:
and judging whether a target paper currency template matched with the paper currency to be identified exists in the candidate paper currency templates or not based on the image characteristics of the image blocks.
Based on the first possible implementation manner of the first aspect, in a second possible implementation manner, the determining, based on the image features of the image blocks, whether a target banknote template matching the banknote to be recognized exists in the candidate banknote templates includes:
extracting the gray scale features of the image blocks;
and judging whether a target paper currency template matched with the paper currency to be identified exists in the candidate paper currency templates or not based on the gray features.
Based on the second possible implementation manner of the first aspect, in a third possible implementation manner, the determining, based on the gray-scale feature, whether a target banknote template matching the banknote to be recognized exists in the candidate banknote templates includes:
carrying out normalization processing on the gray scale features;
and comparing the image blocks with corresponding image blocks of all the paper money templates in the candidate paper money template based on the gray features after normalization processing so as to judge whether a target paper money template matched with the paper money to be identified exists in the candidate paper money template.
Based on the second or third possible implementation manner of the first aspect, in a fourth possible implementation manner, the grayscale feature is a predetermined grayscale feature with multiple dimensions, and the predetermined grayscale feature with multiple dimensions includes: a gray-level mean feature, a Haar feature, and a gray-level-based gradient feature.
Based on the first aspect and any one of the first to third possible implementation manners of the first aspect, in a fifth possible implementation manner, the dividing the image of the banknote to be recognized into two or more image blocks includes:
positioning an edge area of the image of the paper money to be identified;
cutting off the edge area from the image of the paper money to be identified;
and dividing the image of the paper money to be identified after the edge area is cut into more than two image blocks.
Based on the first aspect and any one of the first to third possible implementation manners of the first aspect, in a sixth possible implementation manner, after the determining, based on the image features of the image blocks, whether a target banknote template matching the banknote to be recognized exists in a preset banknote template library, the method further includes:
and if the target paper currency template does not exist, adding the paper currency to be identified into the paper currency template library as the paper currency template, and receiving the currency type of the paper currency to be identified input by a user as the currency type of the added paper currency template.
A second aspect of the present invention provides an apparatus for discriminating a denomination of a banknote, the apparatus comprising:
the image acquisition unit is used for acquiring an image of the paper money to be identified;
the image segmentation unit is used for segmenting the image of the paper money to be identified, which is acquired by the image acquisition unit, into more than two image blocks;
the judging unit is used for judging whether a target paper currency template matched with the paper currency to be identified exists in a preset paper currency template library or not based on the image characteristics of the image blocks obtained by the image segmentation unit;
and the currency determining unit is used for determining the currency of the paper money to be identified as the currency corresponding to the target paper money template if the judgment result of the judging unit is that the target paper money template exists.
A third aspect of the invention provides an electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method of identifying a currency of a banknote as claimed in any one of the preceding claims when the computer program is executed by the processor.
A fourth aspect of the invention provides a computer-readable storage medium storing a computer program which, when executed by a processor, carries out the steps of a method of identifying a currency of a banknote as claimed in any one of the preceding claims.
Compared with the prior art, the invention has the following beneficial effects:
the invention obtains the image of the paper money to be identified; dividing the image of the paper money to be identified into more than two image blocks; judging whether a target paper currency template matched with the paper currency to be identified exists in a preset paper currency template library or not based on the image characteristics of the image block; if the target paper money template exists, determining the currency of the paper money to be identified as the currency corresponding to the target paper money template, thereby realizing the identification of the currency of the paper money; therefore, the method and the device have the advantages that the image of the paper money to be recognized is divided, the corresponding target paper money template is matched for the paper money to be recognized based on the image characteristics of each image block obtained through division, and compared with a matching mode in the prior art, the method and the device for matching the characteristics of specific areas such as characters or head images of the paper money reduce the recognition error rate and improve the accuracy of recognition of the currency type of the paper money.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a flow chart of a method for identifying the currency of a banknote according to one embodiment of the present invention;
FIG. 2 is a flow chart of a method for identifying the currency of a banknote according to another embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a device for identifying the currency of paper currency provided by the embodiment of the invention;
fig. 4 is a schematic diagram of an electronic device provided in an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following description is made by way of specific embodiments with reference to the accompanying drawings.
Referring to fig. 1, it shows a flowchart of an implementation of the method for identifying the currency of a banknote according to an embodiment of the present invention, which is detailed as follows:
in the embodiment of the invention, the image of the paper money to be recognized is firstly acquired, specifically, the paper money to be recognized passes through the equipment comprising the image sensor, and the image corresponding to the paper money to be recognized is acquired based on the image sensor.
Preferably, because different parts of the paper money have different thicknesses and different wavelengths which are easily absorbed and reflected by the parts, in order to enable the acquired image of the paper money to be identified to more clearly show the parts on the paper money to be identified, the image of the paper money to be identified can be acquired by adopting light of one wave band. For example, an image of a banknote to be recognized under infrared light is acquired.
102, dividing the image of the paper money to be recognized into more than two image blocks;
in the embodiment of the invention, in order to improve the identification accuracy, after the image of the paper money to be identified is acquired, the image of the paper money to be identified is divided into more than two image blocks, and the paper money to be identified is identified based on the image characteristics of the image blocks.
In addition, after the image of the banknote to be recognized is divided into more than two image blocks, for example, the image of the banknote to be recognized is divided into 10 image blocks, and since the area of the image block is smaller than that of the banknote to be recognized, the acquisition speed is correspondingly high when the image features of the image block are acquired.
Optionally, in step 102, the dividing the image of the banknote to be recognized into two or more image blocks may be implemented in the following manner:
positioning an edge area of the image of the paper money to be identified;
cutting off the edge area from the image of the paper money to be identified;
and dividing the image of the paper money to be identified after the edge area is cut into more than two image blocks.
In the embodiment of the invention, due to the influence of light and shadow, the acquired image of the paper money to be recognized may have a black edge at the edge of the image, so that the image precision is reduced, and the recognition accuracy is influenced, so in order to improve the recognition accuracy, the edge area with lower image precision needs to be cut off from the image of the paper money to be recognized. For example, rows and columns from the edge on the image to be recognized are cut out.
103, judging whether a target paper currency template matched with the paper currency to be identified exists in a preset paper currency template library or not based on the image characteristics of the image block;
in the embodiment of the invention, a paper currency template library is preset, and paper currency templates of various paper currencies of known currency are stored in the paper currency template library, wherein the stored paper currency templates also comprise a plurality of paper currency templates with different face values in the same currency.
In the embodiment of the invention, based on the image characteristics of the image block, the image matching is carried out on the paper money to be recognized in the paper money template library so as to judge whether a target paper money template matched with the paper money to be recognized exists in the paper money template library.
And step 104, if the target paper currency template exists, determining the currency of the paper currency to be identified as the currency corresponding to the target paper currency template.
In the embodiment of the invention, when the image block of the paper money to be recognized is matched with the image block of a certain paper money template in the paper money template library one by one, the paper money template is judged to be the target paper money template matched with the paper money to be recognized, so that the currency of the paper money to be recognized is determined to be the currency corresponding to the target paper money template.
Optionally, after the step 103, the method further includes:
and if the target paper currency template does not exist, adding the paper currency to be identified into the paper currency template library as the paper currency template, and receiving the currency type of the paper currency to be identified input by a user as the currency type of the added paper currency template.
In the embodiment of the present invention, if the determination result in step 103 is that the target banknote template matching the banknote to be recognized does not exist in the banknote template library, it is described that the banknote to be recognized is a banknote of one currency which is not put in or put out in advance in the banknote template library, so that the banknote to be recognized is added to the banknote template library as a banknote template, and the currency of the banknote to be recognized input by the user is received as the currency of the added banknote template, thereby enriching the banknote currency types stored in the banknote template library. And the currency of the paper money to be identified input by the user is determined by the user through other modes.
The invention obtains the image of the paper money to be identified; dividing the image of the paper money to be identified into more than two image blocks; judging whether a target paper currency template matched with the paper currency to be identified exists in a preset paper currency template library or not based on the image characteristics of the image block; if the target paper money template exists, determining the currency of the paper money to be identified as the currency corresponding to the target paper money template, thereby realizing the identification of the currency of the paper money; therefore, the method and the device have the advantages that the image of the paper money to be recognized is divided, the corresponding target paper money template is matched for the paper money to be recognized based on the image characteristics of each image block obtained through division, and compared with a matching mode in the prior art, the method and the device for matching the characteristics of specific areas such as characters or head images of the paper money reduce the recognition error rate and improve the accuracy of recognition of the currency type of the paper money.
Fig. 2 shows a flowchart of an implementation of the method for identifying the currency of the paper money according to the embodiment of the present invention, which is detailed as follows:
in the embodiment of the present invention, the steps 201 to 202 may specifically refer to the steps 101 to 102 in the embodiment shown in fig. 1, and are not described herein again.
in an embodiment of the present invention, the overall characteristics include at least one of the following characteristics: length features, width features, brightness distribution features of corresponding images, magnetic features, ultraviolet image features and infrared image features;
204, based on the overall characteristics, selecting a candidate banknote template matched with the banknote to be identified from a preset banknote template library;
in the embodiment of the present invention, the image feature may be a color feature or a gray scale feature;
in the embodiment of the invention, in order to further improve the recognition speed, the paper money to be recognized can be roughly matched in the paper money template library on the basis of the overall characteristics of the paper money to be recognized so as to eliminate the paper money templates obviously not matched with the paper money to be recognized, the paper money templates matched with the paper money to be recognized in the overall characteristics in the paper money template library are selected, and the paper money templates are used as candidate paper money templates. For example, if the length of the paper money to be recognized is M, the paper money templates with the length not being M in the paper money template library are directly excluded, subsequent matching based on the image features of the image blocks is not performed, the paper money templates with the length being M in the paper money template library are selected as candidate paper money templates, and when the image features of the subsequent image blocks are matched, the candidate paper money templates are only compared, so that the recognition time can be reduced, and the recognition efficiency is improved.
Optionally, the determining, based on the image features of the image block, whether a target banknote template matching the banknote to be recognized exists in the candidate banknote templates includes:
extracting the gray scale features of the image blocks;
and judging whether a target paper currency template matched with the paper currency to be identified exists in the candidate paper currency templates or not based on the gray features.
In the embodiment of the invention, whether a target banknote template matched with the banknote to be identified exists in the candidate banknote template is judged by collecting the gray features of the image block and based on the gray features.
Optionally, the grayscale feature is a predetermined grayscale feature with multiple dimensions, and the predetermined grayscale feature with multiple dimensions includes: a gray-level mean feature, a Haar feature, and a gray-level-based gradient feature.
In the embodiment of the invention, the preset gray scale characteristics with multiple dimensions are characteristics which are insensitive to tiny deviation of the image, so that the influence of the deviation of the paper money on the identification accuracy is reduced. For example, the gray mean feature reflects the brightness of an image, the Haar feature reflects the gray change of the image, and the gradient feature based on the gray reflects the gray distribution of the image, and these several types of gray features all satisfy the feature insensitive to the slight shift of the image.
In an embodiment of the present invention, the predetermined grayscale features of multiple dimensions may be determined based on a grayscale histogram of the image block, where the grayscale mean feature may include features of 3 dimensions, which are a grayscale mean, a 10% -40% grayscale mean in the grayscale histogram, and a 60% -90% grayscale mean, respectively; the Haar features may include two-dimensional features, one being the difference between the left half and the right half of the image block, the other being the difference between the upper half and the lower half of the image block; the gradient feature based on gray scale may include features of 9 dimensions, and specifically, a sobel operator may be used, one is a gradient mean, the other 8 are histogram distributions of gradients in predetermined 8 directions, respectively, and in addition, when the gradient direction does not fall exactly in the predetermined 8 directions, histogram values of directions adjacent to the predetermined 8 directions are accumulated, respectively. The predetermined plurality of dimensions of the grayscale feature may be the 14-dimensional feature described above.
Preferably, when the gray histogram is counted, in order to increase the counting speed, the pixel points on the image block may be sampled, and the gray histogram of the sampling points may be counted.
Optionally, the determining, based on the gray features, whether a target banknote template matching the banknote to be recognized exists in the candidate banknote templates includes:
carrying out normalization processing on the gray scale features;
and comparing the image blocks with corresponding image blocks of all the paper money templates in the candidate paper money template based on the gray features after normalization processing so as to judge whether a target paper money template matched with the paper money to be identified exists in the candidate paper money template.
In the embodiment of the present invention, in order to make the data processing on the image blocks in the above steps more convenient and improve the processing speed, normalization processing may be performed on the grayscale features of the multiple dimensions, specifically, for the normalization processing of the grayscale mean feature, the Haar feature, and the gradient mean, a maximum value of each image block may be taken, and then, a corresponding value of each image block is divided by the maximum value; for the normalization process of the gradient histogram feature, the 8-direction values may be divided by the 8-direction sum value.
And step 206, if the target paper currency template exists, determining the currency of the paper currency to be identified as the currency corresponding to the target paper currency template.
In the embodiment of the present invention, step 206 may specifically refer to step 104 in the embodiment shown in fig. 1, and is not described herein again.
The invention obtains the image of the paper money to be identified; dividing the image of the paper money to be identified into more than two image blocks; judging whether a target paper currency template matched with the paper currency to be identified exists in a preset paper currency template library or not based on the image characteristics of the image block; if the target paper money template exists, determining the currency of the paper money to be identified as the currency corresponding to the target paper money template, thereby realizing the identification of the currency of the paper money; therefore, the method and the device have the advantages that the image of the paper money to be recognized is divided, the corresponding target paper money template is matched for the paper money to be recognized based on the image characteristics of each image block obtained through division, and compared with a matching mode in the prior art, the method and the device for matching the characteristics of specific areas such as characters or head images of the paper money reduce the recognition error rate and improve the accuracy of recognition of the currency type of the paper money.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
The following are embodiments of the apparatus of the invention, reference being made to the corresponding method embodiments described above for details which are not described in detail therein.
Fig. 3 is a schematic structural diagram of a device for identifying the currency of a banknote provided by an embodiment of the present invention, and for convenience of explanation, only the parts related to the embodiment of the present invention are shown, and the details are as follows:
as shown in fig. 3, the apparatus 3 for discriminating the denomination of a banknote includes: an image acquisition unit 31, an image segmentation unit 32, a judgment unit 33, and a currency type determination unit 34.
An image acquisition unit 31 for acquiring an image of a bill to be recognized;
an image dividing unit 32 for dividing the image of the banknote to be recognized acquired by the image acquiring unit 31 into two or more image blocks;
the judging unit 33 is configured to judge whether a target banknote template matching the banknote to be recognized exists in a preset banknote template library based on the image features of the image blocks obtained by segmentation by the image segmentation unit 32;
and the currency determining unit 34 is configured to determine, if the target banknote template exists as a result of the determination by the determining unit 33, that the currency of the banknote to be recognized is the currency corresponding to the target banknote template.
Optionally, the device 3 for identifying the denomination of a banknote further comprises:
the banknote overall characteristic acquisition unit is used for acquiring the overall characteristics of the banknote to be identified, wherein the overall characteristics at least comprise one of the following characteristics: length features, width features, brightness distribution features of corresponding images, magnetic features, ultraviolet image features and infrared image features;
and the candidate paper currency template selecting unit is used for selecting a candidate paper currency template matched with the paper currency to be identified from a preset paper currency template library based on the overall characteristics acquired by the paper currency overall characteristic acquiring unit.
The judging unit 33 is further configured to judge whether a target banknote template matching the banknote to be recognized exists in the candidate banknote templates selected by the candidate banknote template selecting unit based on the image features of the image blocks obtained by dividing by the image dividing unit 32.
Optionally, the device 3 for identifying the denomination of a banknote further comprises:
the gray feature extraction unit is used for extracting the gray features of the image blocks;
the judging unit 33 is further configured to judge whether a target banknote template matching the banknote to be recognized exists in the candidate banknote templates selected by the candidate banknote template selecting unit based on the grayscale features extracted by the grayscale feature extracting unit.
Optionally, the device 3 for identifying the denomination of a banknote further comprises:
the normalization processing unit is used for performing normalization processing on the gray scale features extracted by the gray scale feature extraction unit;
the judging unit 33 is specifically configured to, based on the grayscale features after the normalization processing, compare the image blocks with corresponding image blocks of each banknote template in the candidate banknote template to judge whether a target banknote template matching the banknote to be recognized exists in the candidate banknote template.
Optionally, the grayscale feature is a predetermined grayscale feature with multiple dimensions, and the predetermined grayscale feature with multiple dimensions includes: a gray-level mean feature, a Haar feature, and a gray-level-based gradient feature.
Optionally, the device 3 for identifying the denomination of a banknote further comprises:
the edge area positioning unit is used for positioning the edge area of the image of the paper money to be identified, which is acquired by the image acquisition unit;
an edge area cutting unit for cutting the edge area determined by the edge area positioning unit from the image of the paper money to be identified;
the image dividing unit 32 is further configured to divide the image of the banknote to be recognized after the edge area is cut into more than two image blocks.
Optionally, the device 3 for identifying the denomination of a banknote further comprises:
and the paper currency template adding unit is used for adding the paper currency to be identified into the paper currency template library as a paper currency template when the target paper currency template does not exist according to the judgment result of the judging unit, and receiving the currency type of the paper currency to be identified input by a user as the currency type of the added paper currency template.
The invention obtains the image of the paper money to be identified; dividing the image of the paper money to be identified into more than two image blocks; judging whether a target paper currency template matched with the paper currency to be identified exists in a preset paper currency template library or not based on the image characteristics of the image block; if the target paper money template exists, determining the currency of the paper money to be identified as the currency corresponding to the target paper money template, thereby realizing the identification of the currency of the paper money; therefore, the method and the device have the advantages that the image of the paper money to be recognized is divided, the corresponding target paper money template is matched for the paper money to be recognized based on the image characteristics of each image block obtained through division, and compared with a matching mode in the prior art, the method and the device for matching the characteristics of specific areas such as characters or head images of the paper money reduce the recognition error rate and improve the accuracy of recognition of the currency type of the paper money.
Fig. 4 is a schematic diagram of an electronic device according to an embodiment of the present invention. As shown in fig. 4, the electronic apparatus 4 of this embodiment includes: a processor 40, a memory 41 and a computer program 42 stored in said memory 41 and executable on said processor 40. The processor 40 executes the computer program 42 to implement the steps in the above-described embodiments of the method for identifying banknote denominations, for example, steps 101 to 104 shown in fig. 1. Alternatively, the processor 40, when executing the computer program 42, implements the functions of the modules/units in the above-mentioned device embodiments, such as the functions of the units 31 to 34 shown in fig. 3.
Illustratively, the computer program 42 may be partitioned into one or more modules/units that are stored in the memory 41 and executed by the processor 40 to implement the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 42 in the electronic device 4. For example, the computer program 42 may be divided into an image acquisition unit, an image division unit, a judgment unit and a currency determination unit, and each unit has the following specific functions:
the image acquisition unit is used for acquiring an image of the paper money to be identified;
the image segmentation unit is used for segmenting the image of the paper money to be identified, which is acquired by the image acquisition unit, into more than two image blocks;
the judging unit is used for judging whether a target paper currency template matched with the paper currency to be identified exists in a preset paper currency template library or not based on the image characteristics of the image blocks obtained by the image segmentation unit;
and the currency determining unit is used for determining the currency of the paper money to be identified as the currency corresponding to the target paper money template if the judgment result of the judging unit is that the target paper money template exists.
The electronic device 4 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The electronic device may include, but is not limited to, a processor 40, a memory 41. Those skilled in the art will appreciate that fig. 4 is merely an example of an electronic device 4 and does not constitute a limitation of the electronic device 4 and may include more or fewer components than shown, or some components may be combined, or different components, e.g., the electronic device may also include input-output devices, network access devices, buses, etc.
The Processor 40 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 41 may be an internal storage unit of the electronic device 4, such as a hard disk or a memory of the electronic device 4. The memory 41 may also be an external storage device of the electronic device 4, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the electronic device 4. Further, the memory 41 may also include both an internal storage unit and an external storage device of the electronic device 4. The memory 41 is used for storing the computer program and other programs and data required by the electronic device. The memory 41 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are 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.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. 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.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/electronic device and method may be implemented in other ways. For example, the above-described apparatus/electronic device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media which may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (7)
1. A method of identifying a currency of a banknote, the method comprising:
acquiring an image of a paper currency to be identified;
dividing the image of the paper money to be identified into more than two image blocks;
judging whether a target paper currency template matched with the paper currency to be identified exists in a preset paper currency template library or not based on the image characteristics of the image block;
if the target paper money template exists, determining the currency of the paper money to be identified as the currency corresponding to the target paper money template;
before judging whether a target banknote template matched with the banknote to be identified exists in a preset banknote template library based on the image characteristics of the image block, the method further comprises the following steps:
acquiring the overall characteristics of the paper money to be identified, wherein the overall characteristics at least comprise one of the following characteristics: length features, width features, brightness distribution features of corresponding images, magnetic features, ultraviolet image features and infrared image features;
based on the overall characteristics, selecting a candidate paper currency template matched with the paper currency to be identified from a preset paper currency template library;
the method for judging whether a target paper currency template matched with the paper currency to be identified exists in a preset paper currency template library or not based on the image characteristics of the image block comprises the following steps:
judging whether a target paper currency template matched with the paper currency to be identified exists in the candidate paper currency templates or not based on the image characteristics of the image blocks;
the judging whether a target banknote template matched with the banknote to be identified exists in the candidate banknote templates or not based on the image features of the image blocks comprises the following steps:
extracting the gray scale features of the image blocks;
judging whether a target paper currency template matched with the paper currency to be identified exists in the candidate paper currency templates or not based on the gray features;
the method for dividing the image of the paper money to be recognized into more than two image blocks comprises the following steps:
positioning an edge area of the image of the paper money to be identified;
cutting off the edge area from the image of the paper money to be identified;
and dividing the image of the paper money to be identified after the edge area is cut into more than two image blocks.
2. The method for identifying banknote denominations as claimed in claim 1, wherein said determining whether there is a target banknote template matching the banknote to be identified in the candidate banknote templates based on the gray scale features comprises:
carrying out normalization processing on the gray scale features;
and comparing the image blocks with corresponding image blocks of all the paper money templates in the candidate paper money template based on the gray features after normalization processing so as to judge whether a target paper money template matched with the paper money to be identified exists in the candidate paper money template.
3. The method of identifying a currency note according to claim 1 or claim 2, wherein the intensity feature is a predetermined plurality of dimensions of intensity features including: a gray-level mean feature, a Haar feature, and a gray-level-based gradient feature.
4. The method for identifying the currency of the paper currency according to any one of claims 1 or 2, wherein after judging whether a target paper currency template matched with the paper currency to be identified exists in a preset paper currency template library based on the image characteristics of the image blocks, the method further comprises the following steps:
and if the target paper currency template does not exist, adding the paper currency to be identified into the paper currency template library as the paper currency template, and receiving the currency type of the paper currency to be identified input by a user as the currency type of the added paper currency template.
5. An apparatus for identifying the currency of a banknote, the apparatus comprising:
the image acquisition unit is used for acquiring an image of the paper money to be identified;
the image segmentation unit is used for segmenting the image of the paper money to be identified, which is acquired by the image acquisition unit, into more than two image blocks;
the judging unit is used for judging whether a target paper currency template matched with the paper currency to be identified exists in a preset paper currency template library or not based on the image characteristics of the image blocks obtained by the image segmentation unit;
the currency type determining unit is used for determining the currency type of the paper money to be identified as the currency type corresponding to the target paper money template if the judgment result of the judging unit is that the target paper money template exists;
wherein the apparatus further comprises:
the banknote overall characteristic acquisition unit is used for acquiring the overall characteristics of the banknote to be identified, wherein the overall characteristics at least comprise one of the following characteristics: length features, width features, brightness distribution features of corresponding images, magnetic features, ultraviolet image features and infrared image features;
the candidate paper currency template selecting unit is used for selecting a candidate paper currency template matched with the paper currency to be identified from a preset paper currency template library based on the overall characteristics acquired by the paper currency overall characteristic acquiring unit;
the judging unit is further used for judging whether a target paper currency template matched with the paper currency to be identified exists in the candidate paper currency templates selected by the candidate paper currency template selecting unit based on the image features of the image blocks obtained by the image segmentation unit;
wherein the apparatus further comprises:
the gray feature extraction unit is used for extracting the gray features of the image blocks;
the judging unit is also used for judging whether a target banknote template matched with the banknote to be identified exists in the candidate banknote templates selected by the candidate banknote template selecting unit based on the gray features extracted by the gray feature extracting unit;
wherein the apparatus further comprises:
the edge area positioning unit is used for positioning the edge area of the image of the paper money to be identified, which is acquired by the image acquisition unit;
an edge area cutting unit for cutting the edge area determined by the edge area positioning unit from the image of the paper money to be identified;
correspondingly, the image segmentation unit is further used for segmenting the image of the paper money to be identified after the edge area is cut off into more than two image blocks.
6. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the steps of the method according to any of claims 1 to 4 are implemented when the computer program is executed by the processor.
7. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 4.
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| CN109859373A (en) * | 2018-12-15 | 2019-06-07 | 深圳壹账通智能科技有限公司 | Bank note face amount calculation method, device and relevant device based on image recognition |
| CN110415424B (en) * | 2019-06-17 | 2022-02-11 | 众安信息技术服务有限公司 | Anti-counterfeiting identification method and device, computer equipment and storage medium |
| CN111652318B (en) * | 2020-06-05 | 2023-09-01 | 中国银行股份有限公司 | Currency identification method, identification device and electronic equipment |
| CN113901942A (en) * | 2021-10-25 | 2022-01-07 | 广州广电运通金融电子股份有限公司 | Multi-modal currency recognition system, method, storage medium and terminal |
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