CN105184950A - Method and device for analyzing banknote to be old or new - Google Patents
Method and device for analyzing banknote to be old or new Download PDFInfo
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- CN105184950A CN105184950A CN201510299208.2A CN201510299208A CN105184950A CN 105184950 A CN105184950 A CN 105184950A CN 201510299208 A CN201510299208 A CN 201510299208A CN 105184950 A CN105184950 A CN 105184950A
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Abstract
The invention discloses a method and a device for analyzing a banknote to be old or new. The method comprises the steps of dividing banknote old-new levels, selecting a plurality of feature areas of a sample banknote, and establishing an old-new level model of the sample banknote according to the feature areas; acquiring information of the feature areas of a banknote to be analyzed; and comparing the information with the old-new level model so as to acquire the old-new level of the banknote to be analyzed. Through the technical scheme disclosed by the invention, the old-new level of banknotes can be distinguished with a high speed, and a nonlinear relation of the old-new level of the banknotes is accurately reflected at the same time.
Description
Technical field
The present invention relates to bank note inspection technology field, particularly relate to and a kind ofly analyze the new and old method of bank note and device.
Background technology
In the new and old model of cognition of bank note (value document), the new and old grade of bank note is a kind of nonlinear relation, and there is a stream shape in the higher dimensional space at sample data place, all sample standard deviations are distributed on stream shape.Sample has the various features such as stained characteristic sum true and false feature of degenerating, and the difference of stained feature of degenerating makes different sample on stream shape along vector (principal curve) directional spreding.
Paper currency sorter is the product of optical, mechanical and electronic integration, the integrated use multidisciplinary technology such as computing machine, pattern-recognition (high rate burst communication), paper money discrimination, the transmission of bank note hyperchannel; Gordian technique comprises mode identification technology etc.Paper currency sorter adopts high-speed image reading apparatus (CIS), digital signal processor (DSP) and controller to carry out controlling of sampling, have image, fluorescence, magnetic, safety line, infrared, penetrate, multiple counterfeit identifying function and the brand-new Digital image technology such as spectrum, there is the functions such as the new and old sorting of bank note.But the new and old grade model of cognition of existing bank note is often too complicated, requires higher, or be too simply not enough to the nonlinear relationship accurately reflecting the new and old grade of bank note to machine performance.
Summary of the invention
The object of the invention is to propose a kind ofly analyze the new and old method of bank note and device, the new and old grade of bank note can be distinguished with speed faster, simultaneously the nonlinear relationship of the accurate new and old grade of reflection bank note.
For reaching this object, the present invention by the following technical solutions:
One aspect of the present invention provides a kind of and analyzes the new and old method of bank note, comprises,
Divide the new and old grade of bank note, several characteristic areas in selected sample bank note, set up the new and old Grade Model of sample bank note according to described characteristic area;
Obtain the information of the described characteristic area of bank note to be analyzed;
Described information and described new and old Grade Model are compared, draws the new and old grade of described bank note to be analyzed.
Wherein, several characteristic areas in described selected sample bank note, set up the new and old Grade Model of sample bank note, comprise according to described characteristic area,
Fisrt feature region and second feature region in selected sample bank note, described fisrt feature region is positioned at the front of bank note, and second feature region is positioned at the reverse side of bank note;
Analyze the eigenwert in fisrt feature region and the eigenwert in second feature region of each new and old grade sample bank note, the mean value of the statistics eigenwert in fisrt feature region and the characteristic of field value in second feature district, obtains the eigenwert average of each new and old grade sample bank note; The new and old Grade Model of sample bank note is set up in conjunction with the described eigenwert average that described new and old grade, each new and old grade are corresponding;
The information of the described characteristic area of described acquisition bank note to be analyzed, is specially,
Locate the fisrt feature region of bank note to be analyzed, second feature region;
Obtain the eigenwert in described fisrt feature region, the eigenwert in second feature region, obtain the eigenwert average of described bank note to be analyzed.
Wherein, described described information and described new and old Grade Model to be compared, draw the new and old grade of described bank note to be analyzed, comprise,
New and old grade characteristic of correspondence value average each in the eigenwert average of described bank note to be analyzed and described new and old Grade Model is compared, determines the new and old grade interval belonging to described bank note to be analyzed;
According to the position of eigenwert average in described new and old grade interval of described bank note to be analyzed, determine the new and old grade of described bank note to be analyzed.
Wherein, the described position of eigenwert average in described new and old grade interval according to described bank note to be analyzed, determines the new and old grade of described bank note to be analyzed, is specially,
Remember that the eigenwert average of described bank note to be analyzed is M, if Mx<M<M (x+1), new and old grade interval belonging to described bank note to be analyzed is D (Mx) ~ D (M (x+1)), then the new and old grade D (M) of described bank note to be analyzed is:
D (M)=D (Mx)+(M-Mx)/(M (x+1)-Mx); (0<x<N-1, N are new and old grade quantity)
Wherein, Mx and M (x+1) is two new and old grade characteristic of correspondence value averages adjacent in described new and old Grade Model.
Wherein, described eigenwert is gray average or texture operator.
Thering is provided a kind of analyzes the new and old device of bank note on the other hand in the present invention, comprises,
Unit set up by model, and for dividing the new and old grade of bank note, several characteristic areas in selected sample bank note, set up the new and old Grade Model of sample bank note according to described characteristic area;
Detecting unit, for obtaining the information of the described characteristic area of bank note to be analyzed;
Grade analysis unit, for described information and described new and old Grade Model being compared, draws the new and old grade of described bank note to be analyzed.
Wherein, several characteristic areas in described selected sample bank note, set up the new and old Grade Model of sample bank note, comprise according to described characteristic area,
Fisrt feature region and second feature region in selected sample bank note, described fisrt feature region is positioned at the front of bank note, and second feature region is positioned at the reverse side of bank note;
Analyze the eigenwert in fisrt feature region and the eigenwert in second feature region of each new and old grade sample bank note, the mean value of the statistics eigenwert in fisrt feature region and the eigenwert in second feature region, obtains the eigenwert average of each new and old grade sample bank note; The new and old Grade Model of sample bank note is set up in conjunction with the described eigenwert average that described new and old grade, each new and old grade are corresponding;
The information of the described characteristic area of described acquisition bank note to be analyzed, is specially,
Locate the fisrt feature region of bank note to be analyzed, second feature region;
Obtain the eigenwert in described fisrt feature region, the eigenwert in second feature region, obtain the eigenwert average of described bank note to be analyzed.
Wherein, grade analysis unit, specifically for new and old grade characteristic of correspondence value average each in the eigenwert average of described bank note to be analyzed and described new and old Grade Model being compared, determines the new and old grade interval belonging to described bank note to be analyzed; And according to the position of eigenwert average in described new and old grade interval of described bank note to be analyzed, determine the new and old grade of described bank note to be analyzed.
Wherein, the described position of eigenwert average in described new and old grade interval according to described bank note to be analyzed, determines the new and old grade of described bank note to be analyzed, is specially,
Remember that the eigenwert average of described bank note to be analyzed is M, if Mx<M<M (x+1), new and old grade interval belonging to described bank note to be analyzed is D (Mx) ~ D (M (x+1)), then the new and old grade D (M) of described bank note to be analyzed is:
D (M)=D (Mx)+(M-Mx)/(M (x+1)-Mx); (0<x<N-1, N are new and old grade quantity)
Wherein, Mx and M (x+1) is adjacent two the grade characteristic of correspondence value averages in described new and old Grade Model.
Wherein, described eigenwert is gray average or texture operator.
Implement the embodiment of the present invention, there is following beneficial effect:
The embodiment of the present invention is by dividing the new and old grade of bank note, and several characteristic areas in selected sample bank note, set up the new and old Grade Model of sample bank note according to described characteristic area; Obtain the information of the described characteristic area of bank note to be analyzed; Described information and described new and old Grade Model are compared, draws the new and old grade of described bank note to be analyzed.The present invention program with the new and old grade of the bank note of speed differentiation faster, can accurately reflect the nonlinear relationship of the new and old grade of bank note simultaneously.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing described below is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of the new and old method of the analysis bank note of first embodiment of the invention.
Fig. 2 is the selected schematic diagram of the bank note characteristic area of first embodiment of the invention.
Fig. 3 is that a kind of of second embodiment of the invention analyzes the new and old method flow schematic diagram of bank note.
Fig. 4 is the schematic diagram of a kind of new and old Grade Model of second embodiment of the invention.
Fig. 5 is the structural representation of the new and old device of the analysis bank note of third embodiment of the invention.
Embodiment
Carry out clear, complete description below in conjunction with accompanying drawing of the present invention to the technical scheme in the embodiment of the present invention, obviously, described embodiment is only a part of embodiment of the present invention, instead of whole embodiments.Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art obtain under the prerequisite of not making creative work, all belongs to the scope of protection of the invention.
The hardware foundation realizing following examples of the present invention can be the equipment of similar paper currency sorter, the Digital image technologies such as high-speed image reading apparatus, digital signal processor have been used in this kind of equipment complex, can the bank note (such as Renminbi) of comprehensive compatible new and old edition.
First embodiment:
The method stream new and old below in conjunction with the analysis bank note of Fig. 1 to first embodiment of the invention is described, and comprises the steps:
Step S101, divides the new and old grade of bank note, and several characteristic areas in selected sample bank note, set up the new and old Grade Model of sample bank note according to described characteristic area.
In first embodiment, according to actual analysis needs, the new and old grade of N number of bank note can be divided; Preferably, fisrt feature region and second feature region in optional this bank note of random sample, analyze the eigenwert in fisrt feature region and the eigenwert in second feature region in the sample bank note of each new and old grade, the mean value of the statistics eigenwert in fisrt feature region and the eigenwert in second feature region, obtains the eigenwert average of the sample bank note of each new and old grade; The new and old Grade Model of sample bank note is set up in conjunction with the described eigenwert average that described new and old grade, each new and old grade are corresponding.
Preferably, described fisrt feature region is positioned at the front of bank note, and second feature region is positioned at the reverse side of bank note.
In the present embodiment, the eigenwert of characteristic area can be the most simply the gray average of characteristic area; Also can be all kinds of texture operators of relative complex, the type of concrete texture operator can be determined according to actual conditions, and the present invention is not construed as limiting this.
Step S102, obtains the information of the described characteristic area of bank note to be analyzed.
In the present embodiment, embodiment comprises, and after rotational correction, the front view (FV) of bank note to be analyzed and back view, successively locate the fisrt feature region of bank note to be analyzed, second feature region; Then obtain the eigenwert in described fisrt feature region, the eigenwert in second feature region, obtain the eigenwert average of described bank note to be analyzed.
Step S103, compares described information and described new and old Grade Model, draws the new and old grade of described bank note to be analyzed.
In the present embodiment, compared by the described eigenwert average that the eigenwert average of described bank note to be analyzed is corresponding with each new and old grade in described new and old Grade Model, determine the new and old grade interval belonging to described bank note to be analyzed.And then according to the position of eigenwert average in described new and old grade interval of described bank note to be analyzed, determine the new and old grade of described bank note to be analyzed.Such as can determine the new and old grade of described bank note to be analyzed be its eigenwert average closer to new and old grade; Or can determine that the new and old grade of described bank note to be analyzed is the intermediate value of described new and old grade interval; Or according to the described eigenwert average of described bank note to be analyzed and the distance of described new and old grade interval end value, calculate the new and old grade of described bank note to be analyzed.
As a preferred implementation, for Renminbi, as shown in Figure 2, selected fisrt feature region 10 and second feature region 20, described fisrt feature region and second feature region can be just antisymmetric regions, also can select according to actual conditions.In the present embodiment, the selection reason in described fisrt feature region and second feature region comprises:
1), from the statistical significance of most circulating paper money, the newness degree in these 2 regions can reflect the newness degree of bank note entirety, the regional area of part bank note has and obviously stainedly this reflection certainly can be caused inaccurate, does not consider that this stained factor affects in the present embodiment;
2), these 2 region intrinsic colours are more shallow, if there is stained old bank note, the image difference of stained brand-new bank note is also maximum with having, and easily detects.
Described fisrt feature region and second feature region is chosen based on these two factors, also according to performances such as the computing velocitys of machine, suitably can increase the size (corresponding computing velocity requires to increase) in described fisrt feature region and second feature region or reduce the size (corresponding computing velocity requires to reduce) in described fisrt feature region and second feature region in actual applications.
As a preferred implementation, the described position of eigenwert average in described new and old grade interval according to described bank note to be analyzed, determines the new and old grade of described bank note to be analyzed, is specially,
Remember that the eigenwert average of described bank note to be analyzed is M, if Mx<M<M (x+1), new and old grade interval belonging to described bank note to be analyzed is D (Mx) ~ D (M (x+1)), then the new and old grade D (M) of described bank note to be analyzed is:
D (M)=D (Mx)+(M-Mx)/(M (x+1)-Mx); (0<x<N-1, N are new and old grade quantity)
Wherein, Mx and M (x+1) is adjacent two the grade characteristic of correspondence value averages in described new and old Grade Model.The new and old grade that this mode obtains is comparatively accurate.
By first embodiment of the invention, with the new and old grade of the bank note of speed differentiation faster, can accurately reflect the nonlinear relationship of the new and old grade of bank note simultaneously.
Second embodiment
Second embodiment, on the basis of the first embodiment, gives a kind of preferred implementation determining the new and old grade of bank note, is described, comprises the steps below in conjunction with Fig. 3 to the second embodiment of the present invention.
Step S201, divides the new and old grade of N number of bank note, and wherein, the quantity N of new and old grade can determine according to actual needs.
Step S202, fisrt feature region and second feature region in selected sample bank note, described fisrt feature region is positioned at the front of bank note, and second feature region is positioned at the reverse side of bank note; Read front view (FV) and the back view of bank note after each rotational correction, and cut fisrt feature region and second feature region.
Step S203, calculates eigenwert and the second feature regional characteristic value in the fisrt feature region of the characteristic area of each sample bank note.
Step S204, calculates the eigenwert in fisrt feature region and the mean value of second feature regional characteristic value, obtains the eigenwert average of the sample bank note of each new and old grade.
Step S205, sets up the new and old Grade Model of sample bank note in conjunction with the described eigenwert average that described new and old grade, each new and old grade are corresponding.
In the present embodiment, the eigenwert average of each new and old grade is considered as a point value, the eigenwert average of N number of new and old grade is connected into a multistage broken line.Be below an object lesson:
Divide the sample bank note set of 11 new and old grades, each new and old grade characteristic of correspondence value average is respectively:
[78,99,107,112,116,120,128,132,138,152,170]。The eigenwert average of these 11 new and old grades is connected into a multistage broken line, as shown in Figure 4.
Step S206, locates the fisrt feature region of bank note to be analyzed, second feature region, obtains the eigenwert in described fisrt feature region, the eigenwert in second feature region, obtains the eigenwert average of described bank note to be analyzed, be designated as M.
Step S207, the described eigenwert average that the eigenwert average M of described bank note to be analyzed is corresponding with each new and old grade in described new and old Grade Model is compared, determine that the new and old grade interval belonging to described bank note to be analyzed is eigenwert average [Mx, M (x+1)] corresponding grade interval, wherein Mx<M<M (x+1).
Step S208, according to the position of eigenwert average M in described new and old grade interval character pair value average [Mx, M (x+1)] of bank note to be analyzed, determines the new and old grade of described bank note to be analyzed.
In the present embodiment, determine that the new and old grade D (M) of bank note to be analyzed is:
D (M)=D (Mx)+(M-Mx)/(M (x+1)-Mx); (0<x<N-1, N are new and old grade quantity)
Wherein, Mx and M (x+1) is adjacent two the grade characteristic of correspondence value averages in described new and old Grade Model.
Such as, suppose the eigenwert average M=110 of described bank note to be analyzed, then the new and old grade interval belonging to is the grade interval of eigenwert average [107,112] correspondence, i.e. new and old grade interval 3 ~ 4; Then D (M)=D (Mx)+(M-Mx)/(M (x+1)-Mx)=3+3/5=3.6 level; Namely the new and old grade of described bank note to be analyzed is 3.6 grades.
By the point-score that the analysis bank note of above-mentioned second embodiment is new and old, utilize multistage broken line to simulate the nonlinear relationship of the new and old grade of bank note, calculate fast, and meet the grade of manual sort; With the new and old grade of the bank note of speed differentiation faster, can accurately reflect the nonlinear relationship of the new and old grade of bank note simultaneously.
3rd embodiment
The embodiment of the device that the analysis bank note that the 3rd embodiment provides for the embodiment of the present invention is new and old.Embodiment and the above-mentioned embodiment of the method for described device belong to same design, and the detail content of not detailed description in the embodiment of device can with reference to said method embodiment.
Fig. 5 shows the structural representation of the new and old device of the analysis bank note of third embodiment of the invention, and the new and old device of described analysis bank note comprises: model sets up unit 310, detecting unit 320 and grade analysis unit 330, is specifically described below to each module.
Unit 310 set up by described model, and for dividing the new and old grade of bank note, several characteristic areas in selected sample bank note, set up the new and old Grade Model of sample bank note according to described characteristic area.
In the present embodiment, be specifically as follows fisrt feature region and second feature region in selected sample bank note, described fisrt feature region is positioned at the front of bank note, and second feature region is positioned at the reverse side of bank note;
Analyze the eigenwert in fisrt feature region and second feature region in the sample bank note of each new and old grade, the mean value of the eigenwert in statistics fisrt feature region and second feature region, obtains the eigenwert average of the sample bank note of each new and old grade; The new and old Grade Model of sample bank note is set up in conjunction with the described eigenwert average that described new and old grade, each new and old grade are corresponding.
Preferably, described eigenwert is: gray average or texture operator.
Described detecting unit 320, for obtaining the information of the described characteristic area of bank note to be analyzed.
In the present embodiment, described detecting unit 320 is specifically for locating fisrt feature region, the second feature region of bank note to be analyzed; Obtain the eigenwert in described fisrt feature region, the eigenwert in second feature region, obtain the eigenwert average of described bank note to be analyzed.
Described grade analysis unit 330, for described information and described new and old Grade Model being compared, draws the new and old grade of described bank note to be analyzed.
In the present embodiment, compare specifically for the described eigenwert average that the eigenwert average of described bank note to be analyzed is corresponding with each new and old grade in described new and old Grade Model, determine the new and old grade interval belonging to described bank note to be analyzed; According to the position of eigenwert average in described new and old grade interval of described bank note to be analyzed, determine the new and old grade of described bank note to be analyzed.
As a preferred implementation, the described position of eigenwert average in described new and old grade interval according to described bank note to be analyzed, determines the new and old grade of described bank note to be analyzed, is specially,
Remember that the eigenwert average of described bank note to be analyzed is M, if Mx<M<M (x+1), new and old grade interval belonging to described bank note to be analyzed is D (Mx) ~ D (M (x+1)), then the new and old grade D (M) of described bank note to be analyzed is:
D (M)=D (Mx)+(M-Mx)/(M (x+1)-Mx); (0<x<N-1, N are new and old grade quantity)
Wherein, Mx and M (x+1) is adjacent two the grade characteristic of correspondence value averages in described new and old Grade Model.
By the device that the analysis bank note of above-mentioned 3rd embodiment is new and old, utilize multistage broken line to simulate the nonlinear relationship of the new and old grade of bank note, calculate fast, and meet the grade of manual sort; With the new and old grade of the bank note of speed differentiation faster, can accurately reflect the nonlinear relationship of the new and old grade of bank note simultaneously.
Above disclosedly be only present pre-ferred embodiments, certainly the right of the present invention can not be limited with this, therefore, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., still belong to the scope that the present invention is contained.
Claims (10)
1. analyze the method that bank note is new and old, it is characterized in that, comprise,
Divide the new and old grade of bank note, several characteristic areas in selected sample bank note, set up the new and old Grade Model of sample bank note according to described characteristic area;
Obtain the information of the described characteristic area of bank note to be analyzed;
Described information and described new and old Grade Model are compared, draws the new and old grade of described bank note to be analyzed.
2. analyze the new and old method of bank note as claimed in claim 1, it is characterized in that, several characteristic areas in described selected sample bank note, set up the new and old Grade Model of sample bank note, comprise according to described characteristic area,
Fisrt feature region and second feature region in selected sample bank note, described fisrt feature region is positioned at the front of bank note, and second feature region is positioned at the reverse side of bank note;
Analyze the eigenwert in fisrt feature region and the eigenwert in second feature region of each new and old grade sample bank note, the mean value of the statistics eigenwert in fisrt feature region and the characteristic of field value in second feature district, obtains the eigenwert average of each new and old grade sample bank note; The new and old Grade Model of sample bank note is set up in conjunction with the described eigenwert average that described new and old grade, each new and old grade are corresponding;
The information of the described characteristic area of described acquisition bank note to be analyzed, is specially,
Locate the fisrt feature region of bank note to be analyzed, second feature region;
Obtain the eigenwert in described fisrt feature region, the eigenwert in second feature region, obtain the eigenwert average of described bank note to be analyzed.
3. analyze the new and old method of bank note as claimed in claim 2, it is characterized in that, described described information and described new and old Grade Model to be compared, draw the new and old grade of described bank note to be analyzed, comprise,
New and old grade characteristic of correspondence value average each in the eigenwert average of described bank note to be analyzed and described new and old Grade Model is compared, determines the new and old grade interval belonging to described bank note to be analyzed;
According to the position of eigenwert average in described new and old grade interval of described bank note to be analyzed, determine the new and old grade of described bank note to be analyzed.
4. analyze the new and old method of bank note as claimed in claim 3, it is characterized in that, the described position of eigenwert average in described new and old grade interval according to described bank note to be analyzed, determines the new and old grade of described bank note to be analyzed, is specially,
Remember that the eigenwert average of described bank note to be analyzed is M, if Mx<M<M (x+1), new and old grade interval belonging to described bank note to be analyzed is D (Mx) ~ D (M (x+1)), then the new and old grade D (M) of described bank note to be analyzed is:
D (M)=D (Mx)+(M-Mx)/(M (x+1)-Mx); (0<x<N-1, N are new and old grade quantity)
Wherein, Mx and M (x+1) is two new and old grade characteristic of correspondence value averages adjacent in described new and old Grade Model.
5. analyze the new and old method of bank note as claimed in claim 2, it is characterized in that, described eigenwert is gray average or texture operator.
6. analyze the device that bank note is new and old, it is characterized in that, comprise,
Unit set up by model, and for dividing the new and old grade of bank note, several characteristic areas in selected sample bank note, set up the new and old Grade Model of sample bank note according to described characteristic area;
Detecting unit, for obtaining the information of the described characteristic area of bank note to be analyzed;
Grade analysis unit, for described information and described new and old Grade Model being compared, draws the new and old grade of described bank note to be analyzed.
7. analyze the new and old device of bank note as claimed in claim 6, it is characterized in that, several characteristic areas in described selected sample bank note, set up the new and old Grade Model of sample bank note, comprise according to described characteristic area,
Fisrt feature region and second feature region in selected sample bank note, described fisrt feature region is positioned at the front of bank note, and second feature region is positioned at the reverse side of bank note;
Analyze the eigenwert in fisrt feature region and the eigenwert in second feature region of each new and old grade sample bank note, the mean value of the statistics eigenwert in fisrt feature region and the eigenwert in second feature region, obtains the eigenwert average of each new and old grade sample bank note; The new and old Grade Model of sample bank note is set up in conjunction with the described eigenwert average that described new and old grade, each new and old grade are corresponding;
The information of the described characteristic area of described acquisition bank note to be analyzed, is specially,
Locate the fisrt feature region of bank note to be analyzed, second feature region;
Obtain the eigenwert in described fisrt feature region, the eigenwert in second feature region, obtain the eigenwert average of described bank note to be analyzed.
8. analyze the new and old device of bank note as claimed in claim 7, it is characterized in that, grade analysis unit, specifically for new and old grade characteristic of correspondence value average each in the eigenwert average of described bank note to be analyzed and described new and old Grade Model being compared, determine the new and old grade interval belonging to described bank note to be analyzed; And according to the position of eigenwert average in described new and old grade interval of described bank note to be analyzed, determine the new and old grade of described bank note to be analyzed.
9. analyze the new and old device of bank note as claimed in claim 8, it is characterized in that, the described position of eigenwert average in described new and old grade interval according to described bank note to be analyzed, determines the new and old grade of described bank note to be analyzed, is specially,
Remember that the eigenwert average of described bank note to be analyzed is M, if Mx<M<M (x+1), new and old grade interval belonging to described bank note to be analyzed is D (Mx) ~ D (M (x+1)), then the new and old grade D (M) of described bank note to be analyzed is:
D (M)=D (Mx)+(M-Mx)/(M (x+1)-Mx); (0<x<N-1, N are new and old grade quantity)
Wherein, Mx and M (x+1) is adjacent two the grade characteristic of correspondence value averages in described new and old Grade Model.
10. analyze the new and old device of bank note as claimed in claim 7, it is characterized in that, described eigenwert is gray average or texture operator.
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| CN106920322A (en) * | 2017-03-06 | 2017-07-04 | 深圳怡化电脑股份有限公司 | A kind of bank note distribution method and device of financial automatic equipment |
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