CN106898085A - Identification bank note towards method and device - Google Patents
Identification bank note towards method and device Download PDFInfo
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- CN106898085A CN106898085A CN201710100698.8A CN201710100698A CN106898085A CN 106898085 A CN106898085 A CN 106898085A CN 201710100698 A CN201710100698 A CN 201710100698A CN 106898085 A CN106898085 A CN 106898085A
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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
- G07D7/2008—Testing patterns thereon using pre-processing, e.g. de-blurring, averaging, normalisation or rotation
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Abstract
The embodiment of the invention discloses identification bank note towards method and device.The method includes：First area and second area, second area and central point Central Symmetry of the first area on first face of bank note to be identified image are chosen on the first face image of bank note to be identified；The 3rd region and the 4th region are chosen on the second face image that the first face image is dorsad set, the 3rd region and the 4th region are identical in the position of the first face image with first area and second area respectively in the position of the second face image；Reference template by first area, second area, the corresponding image template in the 3rd region and the 4th region respectively with pre-set image region is matched；According to matching result determine bank note to be identified towards.The embodiment of the present invention is determined according to the matching result of four image templates in region of bank note to be identified and reference template towards image template includes the pattern form of bank note with reference template, by high towards accuracy rate relatively to recognize with template.
Description
Technical field
The present embodiments relate to image recognition technology, more particularly to it is a kind of recognize bank note towards method and device.
Background technology
Bank note towards the basis that identification is banknote validation, only it is determined that bank note it is overall towards rear, currency examination could be allowed to set
It is standby to find each false proof region of bank note, and verified for each false proof region.
It is a kind of recognize bank note towards prior art in be：The several specific region on bank note dual-side image is chosen, by this
The gray value average of several specific regions is compared to each other, according to mutual comparative result determine bank note towards.
Above-mentioned prior art has a disadvantage that：Placement of the bank note in currency examination equipment offsets unavoidably, and the region of selection is not
It is enough accurate；From bank note extract information it is very few, gray value average can not characterize pattern form, just with gray value average this
One little information, bank note towards recognition result it is inaccurate.
The content of the invention
The embodiment of the present invention provide identification bank note towards method and device, recognition efficiency can be improved and identification is accurate
Rate.
In a first aspect, the embodiment of the invention provides it is a kind of recognize bank note towards method, including：
First area and second area, the second area and described the are chosen on the first face image of bank note to be identified
Central point Central Symmetry of one region on first face of bank note to be identified image；
The 3rd region and the 4th region, described the are chosen on the second face image dorsad set with first face image
Three regions and the 4th region exist with the first area and the second area respectively in the position of second face image
The position of first face image is identical；
By the corresponding image template in the first area, the corresponding image template of the second area, the 3rd region
The corresponding image template of corresponding image template and the 4th region respectively with the reference in the pre-set image region for prestoring
Template is matched；
According to matching result determine the bank note to be identified towards.
Second aspect, the embodiment of the present invention additionally provide it is a kind of recognize bank note towards device, including：
Module is chosen in first and second region, for choosing first area and the on the first face image of bank note to be identified
Two regions, the second area and center dot center pair of the first area on first face of bank note to be identified image
Claim；
3rd and the 4th region choose module, with described first and second region choose module be connected, for it is described
The 3rd region and the 4th region, the 3rd region and the described 4th are chosen on the second face image that first face image is dorsad set
Region is in the position of second face image respectively with the first area and the second area in first face image
Position is identical；
Matching module, chooses module and is connected, for by the corresponding figure in the first area with the 3rd and the 4th region
As template, the corresponding image template of the second area, the corresponding image template in the 3rd region and the 4th region pair
Reference template of the image template answered respectively with the pre-set image region for prestoring is matched；
Towards determining module, it is connected with the matching module, for determining the bank note to be identified according to matching result
Towards.
The embodiment of the present invention comes true according to the matching result of four image templates in region of bank note to be identified and reference template
It is fixed towards relative to using gray value average identification bank note towards, image template and the reference template pattern comprising bank note
Shape, by higher towards accuracy rate relatively to recognize with template.
Brief description of the drawings
Fig. 1 be the embodiment of the present invention one provide a kind of identification bank note towards method flow diagram；
Fig. 2 be the embodiment of the present invention two provide a kind of identification bank note towards method flow diagram；
Fig. 3 be the embodiment of the present invention three provide a kind of identification bank note towards method flow diagram；
Fig. 4 be the embodiment of the present invention four provide a kind of identification bank note towards method flow diagram；
Fig. 5 be the embodiment of the present invention five provide a kind of identification bank note towards method flow diagram；
Fig. 6 be the embodiment of the present invention six provide a kind of identification bank note towards apparatus structure schematic diagram.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention, rather than limitation of the invention.It also should be noted that, in order to just
Part rather than entire infrastructure related to the present invention is illustrate only in description, accompanying drawing.
Embodiment one
Fig. 1 be a kind of identification bank note that provides of the embodiment of the present invention one towards method flow diagram, the present embodiment is applicable
Recognize the situation of bank note in finance device, the method can by identification bank note towards device perform, the device can be by soft
Part and/or hardware mode realize that the device can be integrated in the equipment of any offer paper money recognition, for example typically currency examination
Machine or automatic teller machine etc..The method includes：
S101, selection first area and second area, second area and first on the first face image of bank note to be identified
Central point Central Symmetry of the region on first face of bank note to be identified image.
Wherein, the first face image can be the front or back of bank note to be identified.
Imageing sensor is generally equipped with paper money identification equipment, the image on the two sides for gathering bank note to be identified.To know
Other bank note on the first face image of bank note to be identified towards choosing first area and second area, first area and the secondth area
Domain can be shape identical arbitrary shape, and general for convenience to choose rectangle, second area is known with first area on waiting
The central point Central Symmetry of other the first face of bank note image, such as a certain square in the lower left corner on the optional first face image in first area
Shape, the second area rectangle that just upper right corner is centrosymmetric with first area on the image of optional first face, so regardless of bank note why
Sample is placed and can accurately choose the two regions.
S102, selection the 3rd region and the 4th region, the 3rd on the second face image dorsad set with the first face image
Region and the 4th region the position of the second face image respectively with first area and second area the first face image position phase
Together.
Wherein, the front of the first face image and the second face image and bank note to be identified, reverse side are corresponding.When the first face image
For bank note to be identified front when, then the second face image is the reverse side of bank note to be identified, when the first face image be bank note to be identified
Reverse side when, then the second face image is the front of bank note to be identified.
Bank note towards respectively front it is positive, front is reverse, reverse side is positive and reverse side reversely, bank note may be with any surface
To being placed in finance device.In order to ensure bank note be in it is any towards when can obtain the image of specific region, with the first face
The 3rd region and the 4th region are chosen on the second face image that image is dorsad set, the 3rd region and the 4th region are in the second face figure
The position of picture is identical in the position of the first face image with first area and second area respectively.Such as the 3rd optional bank note in region
The two faces image lower left corner with first area position identical rectangle, the 4th region optional the second face of bank note image upper right corner and the
Three regional locations are identical.
S103, by the corresponding image template in first area, the corresponding image template of second area, the corresponding figure in the 3rd region
Reference template as the corresponding image template of template and the 4th region respectively with the pre-set image region for prestoring is matched.
The reference template in the pre-set image region for prestoring can select it is a certain towards bank note first area, second
The corresponding image template in a certain region in region, the 3rd region or the 4th region, so the pre-set image region for prestoring
Reference template be known.The first area obtained from the first face image and the second face image of bank note to be identified is corresponding
The corresponding image template of image template, second area, the corresponding image template in the 3rd region and the corresponding image mould in the 4th region
Plate is unknown.
By the corresponding image template in first area, the corresponding image template of second area, the corresponding image mould in the 3rd region
Reference template of the corresponding image template of plate and the 4th region respectively with the pre-set image region for prestoring is matched, according to
Region recognition bank note where matching is optimal towards.
Image template and the reference template pattern form comprising bank note, relative to using gray value average identification bank note
Towards by higher towards accuracy rate relatively to recognize with template.
S104, determined according to matching result bank note to be identified towards.
The corresponding image template in first area, the corresponding image template of second area, the corresponding image template in the 3rd region
And a 4th pre-set image area for being likely to occur and prestoring in corresponding this four image templates of image template in region
The similar image of the reference template in domain, the image in specific which region and the reference template in the pre-set image region for prestoring
It is similar depending on bank note to be identified towards four towards corresponding to four kinds of situations respectively.
As a example by 2005 editions hundred yuans, there is phonetic " YUAN " in the lower left corner of the side for being printed on the Great Hall of the People
Word, if using the rectangular area comprising " YUAN " word as pre-set image region.In bank note to be identified towards in the case of unknown,
" YUAN " word is possible to appear in first area, second area, the 3rd region or the 4th region, and four kinds are corresponded to respectively
Towards." YUAN " word occur region be matching result, according to matching result can determine that bank note to be identified towards.If for example,
" YUAN " word appears in first area and then shows that bank note to be identified is positive for reverse side, the table if " YUAN " word appears in second area
Bright bank note to be identified is reverse reverse side, shows that bank note to be identified is reverse for front if " YUAN " word appears in the 3rd region, if
" YUAN " word appears in the 4th region and then shows that bank note to be identified is positive for front.
The present embodiment determines face according to the matching result of four image templates in region of bank note to be identified and reference template
To, relative to using gray value average identification bank note towards, image template and the reference template pattern form comprising bank note,
By higher towards accuracy rate relatively to recognize with template.
Embodiment two
Fig. 2 be the embodiment of the present invention two provide a kind of identification bank note towards method flow diagram, embodiment two is with above-mentioned
Based on embodiment, before choosing first area and second area on the first face image of bank note to be identified, selection is increased
Pre-set image region, to pre-set image region process obtaining reference template.Accordingly, the method for the present embodiment includes：
S201, with reference to bank note direct picture on choose below any one region as pre-set image region：Reversely
The first area of placement, the positive first area placed, oppositely positioned second area, the positive second area placed, reversely
The 3rd region, positive the 3rd region placed, the 4th oppositely positioned region and positive the 4th region placed placed；Or
Person, any one region is used as pre-set image region below selection on the verso images with reference to bank note：Oppositely positioned first
Region, the positive first area placed, oppositely positioned second area, positive second area, the oppositely positioned the 3rd for placing
Region, positive the 3rd region placed, the 4th oppositely positioned region and positive the 4th region placed.
One on the optional reference bank note front or back image in pre-set image region in four regions positive place or
Regular shape and sharp-edged image are typically selected in oppositely positioned image, pre-set image region, are so easy to paper to be identified
The image template of coin is matched, and also be can guarantee that towards the accurate of recognition result.
S202, pre-set image region process to obtain reference template.
If do not processed pre-set image region directly by the image template of bank note to be identified and reference template
Can be larger with operand.The reference template obtained after processing pre-set image region, compared to the pre-set image of before processing
Region, image is simplified and feature is more obvious, improves recognition efficiency and recognition accuracy.
Reference template is obtained from reference on bank note, when bank note to be identified is matched with reference template, can be recognized
Towards can also play a part of to discern the false from the genuine.If the optimum value that four regions of bank note to be identified match with reference template is low
In the threshold value of genuine note, then illustrate that bank note to be identified is counterfeit money or is not corresponding currency type.
S203, selection first area and second area, second area and first on the first face image of bank note to be identified
Central point Central Symmetry of the region on first face of bank note to be identified image.
S204, selection the 3rd region and the 4th region, the 3rd on the second face image dorsad set with the first face image
Region and the 4th region the position of the second face image respectively with first area and second area the first face image position phase
Together.
S205, by the corresponding image template in first area, the corresponding image template of second area, the corresponding figure in the 3rd region
Reference template as the corresponding image template of template and the 4th region respectively with the pre-set image region for prestoring is matched.
S206, determined according to matching result bank note to be identified towards.
The present embodiment obtains reference template by choosing pre-set image region and pre-set image region process, and will treat
Recognize that image template and the reference template of bank note are compared to determine towards can accurately identify bank note towards may also function as mirror
The effect of the other true and false.Because reference template is processed by pre-set image region, the efficiency towards identification is improve.
Embodiment three
Fig. 3 be the embodiment of the present invention three provide a kind of identification bank note towards method flow diagram, embodiment three is with above-mentioned
Based on embodiment, by the corresponding image template in first area, the corresponding image template of second area, the corresponding figure in the 3rd region
Reference template as the corresponding image template of template and the 4th region respectively with the pre-set image region for prestoring is matched
Process be optimized, after in image template and the reference template of bank note to be identified, it fails to match for the first time, to image template
Overturn and matched with reference template again.Accordingly, the method for the present embodiment includes：
S301, with reference to bank note direct picture on choose below any one region as pre-set image region：Reversely
The first area of placement, the positive first area placed, oppositely positioned second area, the positive second area placed, reversely
The 3rd region, positive the 3rd region placed, the 4th oppositely positioned region and positive the 4th region placed placed；Or
Person, any one region is used as pre-set image region below selection on the verso images with reference to bank note：Oppositely positioned first
Region, the positive first area placed, oppositely positioned second area, positive second area, the oppositely positioned the 3rd for placing
Region, positive the 3rd region placed, the 4th oppositely positioned region and positive the 4th region placed.
S302, pre-set image region process to obtain reference template.
S303, selection first area and second area, second area and first on the first face image of bank note to be identified
Central point Central Symmetry of the region on first face of bank note to be identified image.
S304, selection the 3rd region and the 4th region, the 3rd on the second face image dorsad set with the first face image
Region and the 4th region the position of the second face image respectively with first area and second area the first face image position phase
Together.
S305, in the corresponding image template in first area, the corresponding image template of second area, the corresponding figure in the 3rd region
In carrying out first time matching process with reference template respectively as the corresponding image template of template and the 4th region, if there is any one area
It fails to match for the image template in domain, then the image to failure carries out following at least one turning operation：It is flipped up, turns over downwards
Turn, overturn to the left and overturn to the right；Image template after upset is matched with reference template.
As a example by 2005 editions hundred yuans, using positive " YUAN " word as reference template, table 1 show it is a kind of towards with
The relation of each area image template, gives four kinds of original graphs towards corresponding each region of paper money identification equipment acquisition in table
Picture, it can be seen that " YUAN " word that some regions occur is turned around, so in the image template and reference template in each region
It is necessary to carry out turning operation to region when it fails to match for the first time.The present embodiment using the region in the first face image lower left corner as
First area, no matter bank note to be identified with which kind of towards being placed, can in four regions find just or
" YUAN " word that upside down, according to " YUAN " word which region occur it is recognizable towards." YUAN " word goes out when bank note front is positive
Present 4th region, " YUAN " word appears in the 3rd region when bank note front is reverse, and " YUAN " word occurs when bank note reverse side is positive
In first area, " YUAN " word appears in second area when bank note reverse side is reverse.Occur in second area when bank note reverse side is reverse
" YUAN " word and " YUAN " word for occurring in the 4th region during bank note front positive all turn around, with reference template
Positive " YUAN " word can not be matched directly, when it fails to match for the first time for image template and the reference template of bank note to be identified, then
Matched with reference template again after image template is overturn up and down, so can guarantee that in four regions one is found
Positive " YUAN " word.
Table 1 is towards the relation with each area image template
It is pointed out that in table 1 bank note towards for convenience, by the first face image towards being defined.According to paper
Coin identification equipment obtains the difference of image mode, the direction relationses of the first face image and the second face image in each row, it may be possible to
Forward direction another reverse situation in table 1, it is also possible to the first face image or the second face image occur simultaneously positive or same
The situation of Shi Fanxiang, either way may recognize that bank note towards.
S306, determined according to matching result bank note to be identified towards.
The present embodiment enters after in image template and the reference template of bank note to be identified, it fails to match for the first time to image template
Row upset matched with reference template again, enable bank note to be identified difference towards when always have the image template in region
With reference template accurate match, it is ensured that towards the accurate of recognition result.
Example IV
Fig. 4 be the embodiment of the present invention four provide a kind of identification bank note towards method flow diagram, example IV is with above-mentioned
Based on embodiment, will pre-set image region process and obtain reference template and be optimized for, pre-set image region will be dropped
Sampling and binary conversion treatment, the border in pre-set image region is determined according to the image after binaryzation, obtains reference template.Also to root
The border for determining pre-set image region according to the image after binaryzation has carried out further optimization.Accordingly, the side of the present embodiment
Method includes：
S401, with reference to bank note direct picture on choose below any one region as pre-set image region：Reversely
The first area of placement, the positive first area placed, oppositely positioned second area, the positive second area placed, reversely
The 3rd region, positive the 3rd region placed, the 4th oppositely positioned region and positive the 4th region placed placed；Or
Person, any one region is used as pre-set image region below selection on the verso images with reference to bank note：Oppositely positioned first
Region, the positive first area placed, oppositely positioned second area, positive second area, the oppositely positioned the 3rd for placing
Region, positive the 3rd region placed, the 4th oppositely positioned region and positive the 4th region placed.
S402, down-sampled and binary conversion treatment is carried out to pre-set image region.
Pre-set image region includes multiple pixels, if whole pixels is carried out into matching can increase operand, can also drop
Low matching speed, down-sampled including adjacent multiple pixels are synthesized into a pixel, the gray value of the pixel after synthesis takes conjunction
Into the gray value average or one of gray value of preceding multiple pixels.It is down-sampled equivalent to mosaic is broken, will pre-set image
Region blur, to reduce the operand of matching and improve matching speed.
The gray scale of pre-set image region each pixel before binary conversion treatment is carried out changes between 0-255, and gray value is not
Unification can also increase operand and reduce matching speed.The binary conversion treatment carried out to pre-set image region, Ke Yishi, by gray scale
The gray value unification of value pixel higher is set to identical gray value high, and the gray value unification of the relatively low pixel of gray value is set to
The low gray value of identical, is so easy to calculate and improve efficiency.
S403, the border that pre-set image region is determined according to the image after binaryzation, obtain reference template.
Bank note is likely to occur minor shifts up and down when being placed in finance device.Typically compare in pre-set image region
Reference template is larger, even if bank note occurs minor shifts, also can determine pre-set image region according to the image after binaryzation
Border, and obtain reference template.Determine that the border in pre-set image region can be by reference template and the background decorative pattern or figure of surrounding
Case makes a distinction, and improves speed and the degree of accuracy of matching.
The border for determining pre-set image region according to the image after binaryzation includes：Row is calculated according to the image after binaryzation
The gray value of pixel add and and row pixel gray value add and；The gray value of row pixel is added and occurred the position of mutation
The row bound as pre-set image region is put, and the gray value of row pixel is added and the position of mutation is occurred as pre-set image
The row border in region；Or, the gray value of the pixel for setting line number is added and during maximum corresponding row as pre-set image region
Row bound, the corresponding row side arranged as pre-set image region when adding the gray value for setting the pixel of columns and be maximum
Boundary, setting line number sets columns of the columns less than pre-set image region less than the line number in pre-set image region.
As a example by determining the row bound in pre-set image region, the gray scale of row pixel is first calculated according to the image after binaryzation
Value adds with the row bound in pre-set image region, the gray value of row pixel adds and can undergo mutation, therefore can be by row pixel
Gray value add and occur mutation position as pre-set image region row bound.Because setting line number is less than pre-set image area
The line number in domain, so setting line number is chosen from pre-set image region multiple choices, the corresponding setting row of different start-stop rows
The gray value of several pixels adds and different, and the row of description selection covers points most on pattern when being somebody's turn to do and be maximum, corresponding
It is most up and it is most descending can be used as the row bound in pre-set image region.Determine that the row border in pre-set image region is similar.
The border for determining pre-set image region according to the image after binaryzation includes：Calculate each according to the image after binaryzation
The horizontal difference of pixel；By the absolute value of the pixel of every row transverse direction difference it is cumulative obtain row difference and, and to row difference and carry out
Difference, using the row bound at the maximum absolute value of the difference of row difference sum as pre-set image region；Or, the row that line number will be set
Corresponding row sets row of the line number less than pre-set image region as the row bound in pre-set image region when difference is with cumulative maximum
Number；Longitudinal difference of each pixel is calculated according to the image after binaryzation；The absolute value of the pixel longitudinal direction difference of each column is cumulative
To row difference and, and to row difference and carry out difference, using at the maximum absolute value of the difference of row difference sum as pre-set image area
The row border in domain；Or, the corresponding row border arranged as pre-set image region when will set the row difference of columns with cumulative maximum,
Columns of the setting columns less than pre-set image region.
As a example by determining the row bound in pre-set image region, the transverse direction first according to the image each pixel of calculating after binaryzation is poor
Point, by the absolute value of the pixel of every row transverse direction difference it is cumulative obtain row difference and, it is determined that during row bound row difference and with
Above the gray value of row pixel add with effect be similar, the difference of row difference sum at the row bound in pre-set image region
Maximum absolute value, therefore can be using the row bound at the maximum absolute value of the difference of row difference sum as pre-set image region.If
Calculate row difference sum difference when be with descending row difference and subtract neighboring upstream row difference and, then be at difference maximum
Coboundary, is lower boundary at difference minimum value.Because setting line number is less than the line number in pre-set image region, from pre-set image
Setting line number is chosen in region multiple choices, and the row difference of the corresponding setting line number of different start-stop rows is different with accumulated value,
This and it is maximum when description selection row cover points most on pattern, it is corresponding most up and it is most descending can be used as pre-set image
The row bound in region.Determine that the row border in pre-set image region is similar.
The horizontal difference and longitudinal difference of each pixel are calculated according to the image after binaryzation, the difference of foreground and background is highlighted
Different, gained border is more accurate, and anti-noise ability is strong.
The first area of bank note to be identified, second area, the corresponding image template in the 3rd region or the 4th region can also enter
The treatment such as the down-sampled, binaryzation of row and determination border, process is similar with the treatment to pre-set image region, the figure of bank note to be identified
As template can be matched preferably with reference template by after identical treatment.
S404, selection first area and second area, second area and first on the first face image of bank note to be identified
Central point Central Symmetry of the region on first face of bank note to be identified image.
S405, selection the 3rd region and the 4th region, the 3rd on the second face image dorsad set with the first face image
Region and the 4th region the position of the second face image respectively with first area and second area the first face image position phase
Together.
S406, by the corresponding image template in first area, the corresponding image template of second area, the corresponding figure in the 3rd region
Reference template as the corresponding image template of template and the 4th region respectively with the pre-set image region for prestoring is matched.
S407, determined according to matching result bank note to be identified towards.
The present embodiment carries out down-sampled and binary conversion treatment by pre-set image region, reduces operand and improves face
To the efficiency of identification, determine that the border in pre-set image region obtains reference template according to the image after binaryzation, improve towards knowledge
Other accuracy rate.Determine that the method on border highlights the difference of foreground and background according to each pixel difference of image after binaryzation,
Gained border is more accurate, and anti-noise ability is strong.
Embodiment five
Fig. 5 be the embodiment of the present invention five provide a kind of identification bank note towards method flow diagram, embodiment five is with above-mentioned
Based on embodiment, binary conversion treatment will be carried out to pre-set image region, be optimized for, according to the corresponding Nogata in pre-set image region
The number of pixels percentage of figure determines gray threshold, the gray scale primary system of the pixel of gray threshold will be less than in pre-set image region
One is set to lowest gray value, and the gray value unification higher than the pixel of gray threshold is set to highest gray value.Accordingly, this implementation
The method of example includes：
S501, with reference to bank note direct picture on choose below any one region as pre-set image region：Reversely
The first area of placement, the positive first area placed, oppositely positioned second area, the positive second area placed, reversely
The 3rd region, positive the 3rd region placed, the 4th oppositely positioned region and positive the 4th region placed placed；Or
Person, any one region is used as pre-set image region below selection on the verso images with reference to bank note：Oppositely positioned first
Region, the positive first area placed, oppositely positioned second area, positive second area, the oppositely positioned the 3rd for placing
Region, positive the 3rd region placed, the 4th oppositely positioned region and positive the 4th region placed.
S502, pre-set image region is carried out it is down-sampled, according to the corresponding histogrammic number of pixels in pre-set image region
Percentage determines gray threshold.
Carrying out binary conversion treatment to pre-set image region needs first to determine gray threshold, can be by each pixel in pre-set image region
Gray scale obtain grey level histogram, the percentage as shared by low gray-scale pixels can determine that gray threshold.If using " YUAN " word as
Reference template, the pixel of " YUAN " word covering accounts for 25% in reference template, so can be using 25% as pre-set image region pair
The histogrammic number of pixels percentage answered.So it is determined that " YUAN " word can be highlighted during gray threshold.
Determine that gray threshold includes according to the corresponding histogrammic number of pixels percentage in pre-set image region：By gray value
The pixel for meeting number of pixels percentage is chosen in the ascending region from pre-set image；Selected from the low pixel of gray value
Maximum gradation value is taken as gray threshold, or from residual pixel point choose be more than maximum gradation value, and with maximum gradation value phase
Adjacent gray value is used as gray threshold.
Residual pixel point refers to unselected pixel.Assuming that reference template has 100 pixels, percentage is 25%,
25 relatively low pixels of gray value are then selected from 100 pixels, can using maximum gradation value in this 25 pixels as
Gray threshold, also can be using gray value adjacent with maximum gradation value in remaining 75 pixels as gray threshold.
S503, the gray value unification of the pixel that gray threshold will be less than in pre-set image region are set to lowest gray value,
Gray value unification higher than the pixel of gray threshold is set to highest gray value.
For example can be by pre-set image region, the gray value unification less than the pixel of gray threshold is set to 0, higher than gray scale
The gray value unification of the pixel of threshold value is set to 255, this completes the binary conversion treatment to pre-set image region.Default figure
As there are many pixels on region, after carrying out binary conversion treatment according to gray threshold, the image mould of bank note to be identified can be reduced
Operand when plate is matched with reference template, improves recognition efficiency.
S504, the border that pre-set image region is determined according to the image after binaryzation, obtain reference template.
S505, selection first area and second area, second area and first on the first face image of bank note to be identified
Central point Central Symmetry of the region on first face of bank note to be identified image.
S506, selection the 3rd region and the 4th region, the 3rd on the second face image dorsad set with the first face image
Region and the 4th region the position of the second face image respectively with first area and second area the first face image position phase
Together.
S507, by the corresponding image template in first area, the corresponding image template of second area, the corresponding figure in the 3rd region
Reference template as the corresponding image template of template and the 4th region respectively with the pre-set image region for prestoring is matched.
If using " YUAN " word as reference template, the pixel of " YUAN " word covering can be described as foreground point, in reference template
Remaining pixel can be described as background dot.The mode of matching can be using the status requirement bank note to be identified of foreground point in reference template
Relevant position be also foreground point, background dot meets certain threshold in the status requirement of background dot bank note to be identified in reference template
Value, can protrude the matching of foreground point.
Similarity is calculated relative to using coefficient correlation, the matching way that the present embodiment is provided reduces amount of calculation.
S508, determined according to matching result bank note to be identified towards.
The present embodiment determines gray threshold according to the corresponding histogrammic number of pixels percentage in pre-set image region, will be pre-
If the gray value unification of the pixel in image-region less than gray threshold is set to lowest gray value, higher than the pixel of gray threshold
The gray value unification of point is set to highest gray value, the computing when image template that can reduce bank note to be identified is matched with reference template
Amount, improves recognition efficiency.
Embodiment six
Fig. 6 be a kind of identification bank note that provides of the embodiment of the present invention six towards apparatus structure schematic diagram, the device is used for
Perform above-described embodiment in identification bank note towards method.The device includes：Choose module 601, the in first and second region
Choose module 602, matching module 603 and towards determining module 604 in three and the 4th region.
Module 601 is chosen in first and second region, for choosing first area on the first face image of bank note to be identified
And second area, second area and central point Central Symmetry of the first area on first face of bank note to be identified image.
Module 602 is chosen in 3rd and the 4th region, and choosing module 601 with first and second region is connected, for the
The 3rd region and the 4th region are chosen on the second face image that one face image is dorsad set, the 3rd region and the 4th region are second
The position of face image is identical in the position of the first face image with first area and second area respectively.
Matching module 603, chooses module 602 and is connected, for by the corresponding image in first area with the 3rd and the 4th region
The corresponding image template of template, second area, the corresponding image template point of the corresponding image template in the 3rd region and the 4th region
Reference template not with the pre-set image region for prestoring is matched.
Towards determining module 604, it is connected with matching module 603, the face for determining bank note to be identified according to matching result
To.
Further, identification bank note towards device also include pre-set image region choose module and processing module.
Module is chosen in pre-set image region, makees for any one region below selection on the direct picture with reference to bank note
It is pre-set image region：Oppositely positioned first area, positive first area, oppositely positioned second area, the forward direction placed
The second area of placement, the 3rd oppositely positioned region, positive the 3rd region placed, the 4th oppositely positioned region and forward direction
The 4th region placed；Or, any one region is used as pre-set image area below selection on the verso images with reference to bank note
Domain：Oppositely positioned first area, the positive first area placed, oppositely positioned second area, positive the secondth area placed
Domain, the 3rd oppositely positioned region, positive the 3rd region placed, the 4th oppositely positioned region and positive the 4th area placed
Domain.
Processing module, chooses module with pre-set image region respectively and first and second region is chosen module and is connected, and is used for
Pre-set image region process to obtain reference template.
Further, matching module includes upset submodule and again matched sub-block.
Upset submodule, corresponding image template, the corresponding image template of second area, the 3rd region pair in first area
The corresponding image template of image template and the 4th region answered is carried out in first time matching process with reference template respectively, if having appointing
Anticipating, it fails to match for the image template in a region, then the image to failure carries out following at least one turning operation：Be flipped up, to
Lower upset, to the left overturn and overturn to the right.
Matched sub-block, is connected with upset submodule again, and the image template after upset is matched with reference template.
Further, processing module also includes binary conversion treatment submodule and border determination sub-module.
Binary conversion treatment submodule, for carrying out down-sampled and binary conversion treatment to pre-set image region.
Border determination sub-module, is connected with binary conversion treatment submodule, default for being determined according to the image after binaryzation
The border of image-region, obtains reference template.
Further, border determination sub-module specifically for：The gray scale of row pixel is calculated according to the image after binaryzation
Value plus and and row pixel gray value add and；The gray value of row pixel is added and occurred the position of mutation as default figure
As the row bound in region, and the gray value of row pixel is added and the position of mutation as the row side in pre-set image region occurs
Boundary；Or, the gray value of the pixel of setting line number being added during with maximum, corresponding row, will used as the row bound in pre-set image region
The gray value for setting the pixel of columns adds corresponding row during with maximum as the row border in pre-set image region, to set line number small
In the line number in the pre-set image region, columns of the setting columns less than the pre-set image region.
Border determination sub-module is additionally operable to：The horizontal difference of each pixel is calculated according to the image after binaryzation；By every row
The absolute value of pixel transverse direction difference is cumulative obtain row difference and, and to row difference and difference is carried out, by the difference of row difference sum
As the row bound in pre-set image region at maximum absolute value；Or, corresponding when will set the row difference of line number with cumulative maximum
Row sets line number of the line number less than the pre-set image region as the row bound in pre-set image region；
Longitudinal difference of each pixel is calculated according to the image after binaryzation；
By the absolute value of the pixel of each column longitudinal direction difference it is cumulative obtain row difference and, and to row difference and carry out difference, will
As the row border in pre-set image region at the maximum absolute value of the difference of row difference sum；Or, will set columns row difference and
Corresponding row set row of the columns less than the pre-set image region as the row border in pre-set image region when cumulative maximum
Number.
Further, binary conversion treatment submodule includes gray threshold determining unit and gray value setting unit.
Gray threshold determining unit, for being determined according to the corresponding histogrammic number of pixels percentage in pre-set image region
Gray threshold.
Gray value setting unit, is connected with gray threshold determining unit, for will be less than gray scale threshold in pre-set image region
The gray value unification of the pixel of value is set to lowest gray value, and the gray value unification higher than the pixel of gray threshold is set to highest
Gray value.
Further, gray threshold determining unit specifically for：Chosen from pre-set image region and meet number of pixels hundred
The pixel for dividing the gray value of ratio low；Maximum gradation value is chosen from the low pixel of gray value as gray threshold, or from surplus
Chosen in after image vegetarian refreshments and be more than maximum gradation value, and the gray value adjacent with maximum gradation value as gray threshold.
The identification bank note that the embodiment of the present invention is provided towards device can be used to performing any embodiment of the present invention and carried
Confession identification bank note towards method, possess execution the corresponding function of the method and beneficial effect.
Note, above are only presently preferred embodiments of the present invention and institute's application technology principle.It will be appreciated by those skilled in the art that
The invention is not restricted to specific embodiment described here, can carry out for a person skilled in the art various obvious changes,
Readjust and substitute without departing from protection scope of the present invention.Therefore, although the present invention is carried out by above example
It is described in further detail, but the present invention is not limited only to above example, without departing from the inventive concept, also
More other Equivalent embodiments can be included, and the scope of the present invention is determined by scope of the appended claims.
Claims (16)
1. it is a kind of recognize bank note towards method, it is characterised in that including：
First area and second area, the second area and firstth area are chosen on the first face image of bank note to be identified
Central point Central Symmetry of the domain on first face of bank note to be identified image；
The 3rd region and the 4th region, the 3rd area are chosen on the second face image dorsad set with first face image
Domain and the 4th region are in the position of second face image respectively with the first area and the second area described
The position of the first face image is identical；
By the corresponding image template in the first area, the corresponding image template of the second area, the 3rd region correspondence
The corresponding image template of image template and the 4th region respectively with the reference template in the pre-set image region for prestoring
Matched；
According to matching result determine the bank note to be identified towards.
2. method according to claim 1, it is characterised in that choose the firstth area on the first face image of bank note to be identified
Before domain and second area, also include：
Any one region is used as the pre-set image region below being chosen on the direct picture with reference to bank note：Oppositely positioned
It is first area, the positive first area placed, oppositely positioned second area, the positive second area placed, oppositely positioned
3rd region, positive the 3rd region placed, the 4th oppositely positioned region and positive the 4th region placed；Or, in ginseng
Examine and chosen on the verso images of bank note following any one region as the pre-set image region：The firstth oppositely positioned area
Domain, the positive first area placed, oppositely positioned second area, positive second area, the 3rd oppositely positioned area placed
Domain, positive the 3rd region placed, the 4th oppositely positioned region and positive the 4th region placed；
The pre-set image region process and obtains the reference template.
3. method according to claim 1 and 2, it is characterised in that by the corresponding image template in the first area, second
The corresponding image template in region, the corresponding image template in the 3rd region and the corresponding image template in the 4th region respectively with deposit in advance
The reference template in the pre-set image region of storage carries out matching to be included：
Corresponding image template, the corresponding image template of second area, the corresponding image mould in the 3rd region in the first area
The corresponding image template of plate and the 4th region is carried out in first time matching process with the reference template respectively, if there is any one area
It fails to match for the image template in domain, then the image to failure carries out following at least one turning operation：It is flipped up, turns over downwards
Turn, overturn to the left and overturn to the right；
Image template after upset is matched with the reference template.
4. method according to claim 2, it is characterised in that to the pre-set image region process and obtain the ginseng
Examining template includes：
Down-sampled and binary conversion treatment is carried out to the pre-set image region；
The border in the pre-set image region is determined according to the image after binaryzation, the reference template is obtained.
5. method according to claim 4, it is characterised in that the pre-set image area is determined according to the image after binaryzation
The border in domain includes：
According to after the binaryzation image calculate row pixel gray value add and and row pixel gray value add and；
The gray value of the row pixel is added and occurred the position of mutation as the row bound in the pre-set image region, and will
The gray value of the row pixel adds and occurs the position of mutation as the row border in the pre-set image region；Or, will setting
The gray value of the pixel of line number add with it is maximum when corresponding row as the row bound in the pre-set image region, columns will be set
Pixel gray value add with it is maximum when corresponding row as the pre-set image region row border, the setting line number is small
In the line number in the pre-set image region, columns of the setting columns less than the pre-set image region.
6. method according to claim 4, it is characterised in that the pre-set image area is determined according to the image after binaryzation
The border in domain includes：
The horizontal difference of each pixel is calculated according to the image after the binaryzation；
By the absolute value of the pixel of every row transverse direction difference it is cumulative obtain row difference and, and to the row difference and carry out difference, will
As the row bound in the pre-set image region at the maximum absolute value of the difference of the row difference sum；Or, line number will be set
Row difference with it is cumulative maximum when corresponding row as the pre-set image region row bound, the setting line number is less than described pre-
If the line number of image-region；
Longitudinal difference of each pixel is calculated according to the image after binaryzation；
By the absolute value of the pixel of each column longitudinal direction difference it is cumulative obtain row difference and, and to the row difference and carry out difference, will
As the row border in the pre-set image region at the maximum absolute value of the difference of the row difference sum；Or, columns will be set
Corresponding when row difference is with cumulative maximum to arrange as the row border in the pre-set image region, the setting columns is less than described pre-
If the columns of image-region.
7. the method according to claim any one of 4-6, it is characterised in that binaryzation is carried out to the pre-set image region
Treatment includes：
Gray threshold is determined according to the corresponding histogrammic number of pixels percentage in the pre-set image region；
The gray value unification of the pixel in the pre-set image region less than the gray threshold is set to lowest gray value, it is high
Highest gray value is set in the gray value unification of the pixel of the gray threshold.
8. method according to claim 7, it is characterised in that according to the corresponding histogrammic picture in the pre-set image region
Plain number percentage determines that gray threshold includes：
Meet the pixel of the number of pixels percentage by the ascending selection from the pre-set image region of gray value；
Maximum gradation value is chosen from the low pixel of the gray value to be selected as the gray threshold, or from residual pixel point
Take more than the maximum gradation value, and the gray value adjacent with the maximum gradation value is used as the gray threshold.
9. it is a kind of recognize bank note towards device, it is characterised in that including：
Module is chosen in first and second region, for choosing first area and the secondth area on the first face image of bank note to be identified
Domain, the second area and central point Central Symmetry of the first area on first face of bank note to be identified image；
Module is chosen in 3rd and the 4th region, and choosing module with described first and second region is connected, for described first
The 3rd region and the 4th region, the 3rd region and the 4th region are chosen on the second face image that face image is dorsad set
In second face, the position of image is respectively with the first area and the second area in the position of first face image
It is identical；
Matching module, chooses module and is connected, for by the corresponding image mould in the first area with the 3rd and the 4th region
Plate, the corresponding image template of the second area, the corresponding image template in the 3rd region and the 4th region are corresponding
Reference template of the image template respectively with the pre-set image region for prestoring is matched；
Towards determining module, be connected with the matching module, for according to matching result determine the bank note to be identified towards.
10. device according to claim 9, it is characterised in that also include：
Module is chosen in pre-set image region, for any one region below selection on the direct picture with reference to bank note as institute
State pre-set image region：Oppositely positioned first area, positive first area, oppositely positioned second area, the forward direction placed
The second area of placement, the 3rd oppositely positioned region, positive the 3rd region placed, the 4th oppositely positioned region and forward direction
The 4th region placed；Or, any one region is used as the default figure below selection on the verso images with reference to bank note
As region：Oppositely positioned first area, the positive first area placed, oppositely positioned second area, it is positive place the
Two regions, the 3rd oppositely positioned region, positive the 3rd region placed, the 4th oppositely positioned region and it is positive place the
Four regions；
Processing module, chooses module with the pre-set image region respectively and described first and second region is chosen module and is connected,
The reference template is obtained for the pre-set image region process.
11. device according to claim 9 or 10, it is characterised in that the matching module includes：
Upset submodule, corresponding image template, the corresponding image template of second area, the 3rd region pair in the first area
The corresponding image template of image template and the 4th region answered is carried out in first time matching process with the reference template respectively, if
It fails to match the image template in any one region, then the image to failure carries out following at least one turning operation：Turn over upwards
Turn, downwardly turn over, overturning to the left and overturning to the right；
Matched sub-block, is connected with the upset submodule again, and the image template after upset is carried out with the reference template
Matching.
12. devices according to claim 10, it is characterised in that the processing module also includes：
Binary conversion treatment submodule, for carrying out down-sampled and binary conversion treatment to the pre-set image region；
Border determination sub-module, is connected with the binary conversion treatment submodule, described in being determined according to the image after binaryzation
The border in pre-set image region, obtains the reference template.
13. devices according to claim 12, it is characterised in that the border determination sub-module specifically for：
According to after the binaryzation image calculate row pixel gray value add and and row pixel gray value add and；Will
The gray value of the row pixel adds and occurs the position of mutation as the row bound in the pre-set image region, and by the row
The gray value of pixel adds and occurs the position of mutation as the row border in the pre-set image region；Or, line number will be set
The gray value of pixel add with it is maximum when corresponding row as the row bound in the pre-set image region, the pixel of columns will be set
The gray value of point is corresponding when adding with maximum to be arranged as the row border in the pre-set image region, and the setting line number is less than described
The line number in pre-set image region, columns of the setting columns less than the pre-set image region.
14. devices according to claim 12, it is characterised in that the border determination sub-module specifically for：
The horizontal difference of each pixel is calculated according to the image after the binaryzation；
By the absolute value of the pixel of every row transverse direction difference it is cumulative obtain row difference and, and to the row difference and carry out difference, will
As the row bound in the pre-set image region at the maximum absolute value of the difference of the row difference sum；Or, line number will be set
Row difference with it is cumulative maximum when corresponding row as the pre-set image region row bound, the setting line number is less than described pre-
If the line number of image-region；
Longitudinal difference of each pixel is calculated according to the image after binaryzation；
By the absolute value of the pixel of each column longitudinal direction difference it is cumulative obtain row difference and, and to the row difference and carry out difference, will
As the row border in the pre-set image region at the maximum absolute value of the difference of the row difference sum；Or, columns will be set
Corresponding when row difference is with cumulative maximum to arrange as the row border in the pre-set image region, the setting columns is less than described pre-
If the columns of image-region.
15. device according to claim any one of 12-14, it is characterised in that the binary conversion treatment submodule includes：
Gray threshold determining unit, for being determined according to the corresponding histogrammic number of pixels percentage in the pre-set image region
Gray threshold；
Gray value setting unit, is connected with the gray threshold determining unit, for will be less than institute in the pre-set image region
The gray value unification for stating the pixel of gray threshold is set to lowest gray value, higher than the gray value of the pixel of the gray threshold
Unification is set to highest gray value.
16. devices according to claim 15, it is characterised in that the gray threshold determining unit specifically for：
Meet the pixel of the number of pixels percentage by the ascending selection from the pre-set image region of gray value；
Maximum gradation value is chosen from the low pixel of the gray value to be selected as the gray threshold, or from residual pixel point
Take more than the maximum gradation value, and the gray value adjacent with the maximum gradation value is used as the gray threshold.
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