CN104091388A - Paper currency authentic identification method and device based on magnetic images - Google Patents
Paper currency authentic identification method and device based on magnetic images Download PDFInfo
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Abstract
The invention discloses a paper currency authentic identification method and device based on magnetic images. Magnetic images of paper currency obtained by a magnetic image sensor are processed, after image enhancement processing, tilt correction pre-processing and the like are carried out on the magnetic images, a magnetic image histogram is calculated, binarization processing is carried out, two binaryzation magnetic images of safety lines are cut out, horizontal projection is carried out on the two cut binaryzation magnetic images, whether the features of impulse waveforms of the horizontal projection curve of the two binaryzation magnetic images of the safety lines conform to set regulations is judged, and the paper currency is judged to be real currency if all the features conform to the set regulations. According to the method and device, due to the fact that a high threshold value and a low threshold value are adopted for carrying out binaryzation on the magnetic images, the binaryzation magnetic images of safety lines are cut out, the features of the two binaryzation magnetic images of safety lines are recognized, and the paper currency is judged to be the real currency if all the features conform to the set regulations.
Description
Technical field
The present invention relates to paper money discrimination field, particularly a kind of paper money discrimination method and device based on magnetic image.
Background technology
Bank note false proof, is the major issue that is related to national financial stability, closely bound up with people's property safety.ATM is served most crucial product as bank self-help, and for people provide 24 hours transfer accounts, withdraw the money, deposit business, this has not only saved a large amount of human costs to bank, but also facilitates people's life.Along with scientific and technical progress, the anti-counterfeiting technology of Renminbi is more and more advanced, on bank note, obtain false proof point more and more, but thing followed fraud means are more and more brilliant, emulation degree is more and more higher, ATM is as 24 hour self-help equipment, and bank note false proof particularly important can say that it is in finance device, to require the strongest equipment of false distinguishing ability.ATM does not allow to take out counterfeit money, does not deposit counterfeit money in yet, but this is all ideal situation, due to the progress of the technology of rehearsing, often can see that so-and-so gets at bank ATM the news that counterfeit money Huo Mou bank outlets deposit counterfeit money in.Constantly there is counterfeit money event in ATM, this makes to require ATM in the situation that not affecting normal currency examine and note output, improves to greatest extent the anti-counterfeit capability of bank note.
At present, ATM false proof, mainly adopts multispectral image analysis and bank note magnetic signal to detect.The sensor that multispectral figure adopts is based on contact-type image sensor (CIS), can gather out and comprise infrared external reflection figure, infrared transmission figure, ultraviolet reflectance figure etc.Magnetic detection on bank note, what adopt is magneto-dependent sensor, claim again magnetic head, current financial machine and tool paper money counter, ATM is exactly to adopt such sensor, in the false distinguishing passage that is distributed in bank note that several roads magnetic head is discrete, when bank note passes through magnetic head, each magnetic head induces respectively One-Dimension Magnetic signal waveform, and this can detect the magnetic code in safety line on Renminbi, but it is not high that its shortcoming is accuracy of detection, and detecting reliability has much room for improvement.
Summary of the invention
The object of this invention is to provide a kind of paper money discrimination method based on magnetic image, the method adopts high and low two threshold values to carry out binaryzation to the magnetic image in safety line on Renminbi, and two binaryzation magnetic image horizontal projection curves are carried out respectively to false distinguishing, only have the false distinguishing of Liang Ge drop shadow curve all by just thinking genuine note, effectively improved confidence level.
The technical solution adopted in the present invention is: a kind of paper money discrimination method based on magnetic image, and the magnetic image of the bank note that magnetic image sensor is obtained is processed, and after magnetic image is carried out to the pre-service such as image enhancement processing and slant correction, comprises the following steps:
Step 1, calculate magnetic image histogram, get a low threshold value between histogrammic Far Left and intermediate peak lane place, in intermediate peak and histogram rightmost interval, get a high threshold;
Step 2, carry out binary conversion treatment, according to high and low dual threshold, obtain two width binaryzation magnetic images;
Step 3, two width binaryzation magnetic images are cut, cut out the binaryzation magnetic image of two width safety lines;
Step 4, to cutting after two width binaryzation magnetic images carry out horizontal projection;
Step 5, whether the feature of pulse waveform that judges two secondary binaryzation magnetic image horizontal projection curves of safety line meets sets regulation, if all met, sets regulation, is judged as genuine note.
In the present invention owing to adopting two threshold values of height to carry out binaryzation to magnetic image, and cut out the binaryzation magnetic image of two width safety lines, feature to the binaryzation magnetic image of this two width safety line is identified, if the feature of the binaryzation magnetic image of two width safety lines all meets the requirements, is just judged to be genuine note.
Optimal way of the present invention is that slant correction comprises the following steps:
First by the discrete magnetic image of safety line, distribute, the safety line magnetic image straight line that matching discrete point magnetic image forms, adopts least square method, calculates slope k and the intercept b of safety line magnetic image straight line, thereby obtains inclined angle alpha;
With magnetic image central point, adopt the interpolation algorithm of nearest neighbor interpolation to carry out slant correction α to magnetic image.
While cutting out safety line magnetic image, the magnetic image after high and low threshold binarization is adopted to following steps:
Find the left upper apex (x of safety line magnetic code image
0, y
0),
1/3 part in the middle of magnetic image after low threshold binarization is carried out to vertical sweep from left to right, when scanning the row that occur lower than setting threshold, be required x
0,
Magnetic image after low threshold binarization is carried out to horizontal scanning from top to bottom, when scanning the row occurring lower than setting threshold, be required y
0,
Find summit, the bottom right (x of safety line magnetic code image
1, y
1).
1/3 part in the middle of magnetic image after low threshold binarization is carried out to vertical sweep from right to left, when scanning the row that occur lower than setting threshold, be required x
1,
Magnetic image after low threshold binarization is carried out to horizontal scanning from bottom to up, when scanning the row occurring lower than setting threshold, be required y
1.
The feature of the pulse waveform of binaryzation magnetic image horizontal projection curve:
The pulse waveform of the binaryzation magnetic image horizontal projection curve of high threshold is periodically, and each high amplitude of cycle XianCheng, then returns 0, then be low amplitude value, and then return 0;
The pulse waveform of the binaryzation magnetic image horizontal projection curve of low valve valve is the periodicity consistent with the pulse waveform cycle of the binaryzation magnetic image horizontal projection curve of high threshold, each negative amplitude signal of cycle XianCheng, then be high magnitude reference, be little negative amplitude signal again, finally get back to high magnitude reference.
The present invention also provides a kind of paper money discrimination device, this device carries out false distinguishing by detecting the feature of the magnetic image on bank note to bank note, comprise magnetic image acquisition device, also comprise that the magnetic image that described magnetic image acquisition device is obtained carries out the treating apparatus that the method for claim 1 is carried out false distinguishing processing.
In ATM etc., be provided with the false distinguishing ability that this device can improve bank note effectively.
Below in conjunction with specific embodiment, the present invention is described in more detail.
Accompanying drawing explanation
Fig. 1 is magnetic image information processing and false distinguishing main flow.
Fig. 2 is safety line magnetic code region magnetic image histogram.
Fig. 3 is the magnetic image schematic diagram after low threshold binarization.
Fig. 4 is the magnetic image schematic diagram after high threshold binaryzation.
Fig. 5 is the low threshold value safety line magnetic code image level figure of drop shadow curve.
Fig. 6 is the figure of high threshold safety line magnetic code image level drop shadow curve.
Embodiment
The present embodiment is a kind of paper money discrimination device, this device carries out false distinguishing by detecting the feature of the magnetic image on bank note to bank note, the treating apparatus that the Renminbi magnetic image that comprises magnetic image acquisition device and magnetic image acquisition device is obtained is processed, first this treating apparatus adopts magnetic image sensor to obtain the magnetic image on Renminbi, then magnetic image is carried out to digitized processing, this device comprises magnetic image acquisition device, store the database of bank note magnetic image characteristic, strengthen processing module, slant correction module, histogram calculation module, binary conversion treatment module, safety line cutting module, the module such as projection module and judge module.
Wherein:
The input end of histogram calculation module is connected with the output terminal of magnetic image acquisition device; The output terminal of histogram calculation module is connected with the input end of binary conversion treatment module; The output terminal of binary conversion treatment module is connected with the input end of safety line cutting module; The output terminal of binary conversion treatment module is connected with the input end of projection module; The input end of judge module is connected with database with the output terminal of projection module respectively, and whether judge module output terminal and the detected bank note of indication are that the indicating device of genuine note is connected as display screen etc.
The magnetic image of the detected bank note that enhancing processing module obtains magnetic image acquisition device is carried out the magnetic image that image enhancement processing output strengthens;
Slant correction module is carried out slant correction to the magnetic image of the enhancing of described enhancing processing module output, and output outputs to histogram calculation module through the magnetic image of slant correction.
Histogram calculation module is calculated the magnetic image histogram through slant correction.
The magnetic image histogram binaryzation that binary conversion treatment module calculates histogram calculation module generates binaryzation magnetic image, and the threshold values that binary conversion treatment module adopts is got a low threshold value and get a high threshold in intermediate peak and histogram rightmost interval in being respectively between the histogrammic Far Left of magnetic image and intermediate peak lane place.
Safety line cutting module cuts the binaryzation magnetic image that binary conversion treatment module generates, and therefrom cuts out the binaryzation magnetic image of safety line.
Projection module carries out horizontal projection by the binaryzation magnetic image of safety line, forms the horizontal projection curve of the binaryzation magnetic image of safety line;
Judge module is by the corresponding magnetic image characteristic of the bank note comparison of preserving in the horizontal projection curve of described projection module output and feature database, and whether obtain detected bank note is the result of genuine note.
Comprise the following steps:
Steps A, employing strengthen processing module magnetic image are carried out to image enhancement processing;
It is exactly that magnetic image is carried out to contrast enhancement processing that magnetic image is strengthened.Object is that safety line magnetic code image, prefix code region magnetic image and soft magnetism, Hard Magnetic image are strengthened to processing, reduce bank note magnetic transition pixel, by figure image intensifying, make white pixel become whiter, black pixel becomes more black, makes like this easier of magnetic signal feature extraction change.Before supposing to strengthen, magnetic image pixel distribution scope is [a, b], and the pixel distribution scope after contrast strengthens is set as [c, d], wherein c is less than a, and d is greater than b, s pixel value is the current pixel that will carry out contrast enhancement processing, and t is the pixel value after changing, and contrast stretching formula is
, the pixel t obtaining through this formula can reach the object that contrast strengthens.
Step B, according to safety line magnetic code image, calculate the angle of inclination of bank note;
Step C, according to angle of inclination, magnetic image is carried out to slant correction;
Above two steps by slant correction module, completed, realize slant correction, the slant correction of magnetic image.The straight line first forming by the discrete pixel of safety line magnetic code, the discrete point coordinate of magnetic code signal is extracted, adopt least square method, calculate slope k and the intercept b of safety line magnetic code, thereby obtain inclined angle alpha, then with magnetic image central point, magnetic image is carried out to slant correction α, in order to accelerate algorithm speed, do not affect the quality after image rotation yet, interpolation algorithm adopts nearest neighbor interpolation here.
Step D, utilize histogram calculation module to calculate magnetic image histogram, according to histogram, calculate high and low pair of binary-state threshold of magnetic image;
The binaryzation of step e, magnetic image, the high and low dual threshold obtaining according to step D, obtains two width binaryzation magnetic images, figure after binaryzation corresponding to low threshold value is that background is white, prospect is black magnetic image, and the figure after binaryzation corresponding to high threshold is that background is black, and prospect is white magnetic image;
Above two steps binaryzation of realizing magnetic image by binary conversion treatment module, realized.First calculate the grey level histogram of magnetic image, here for histogrammic distribution is described, Fig. 2 has shown the magnetic image histogram in safety line region, the magnetic image histogram in the histogram shape of whole magnetic image and safety line region is similar, as shown in Figure 2, histogram is the most left is the pixel count that magnetic signal is corresponding with the histogram value of least significant, and intermediate peak figure is magnetic image background area, i.e. non-magnetic pixel count.By analyzing, need to adopt the binarization method of dual threshold to process magnetic image, in between histogrammic Far Left and intermediate peak lane place, get a threshold value, i.e. low threshold value, in intermediate peak and histogram rightmost interval, get a threshold value, high threshold, processes by dual threshold like this, magnetic image after binaryzation can retain nearly all main information, and facilitates later feature extraction.As shown in Figure 3, it is white after low threshold binarization, obtaining a width background, and prospect is black magnetic image, and as shown in Figure 4, it is black after high threshold binaryzation, obtaining a width background, and prospect is white magnetic image.Fig. 3, in Fig. 4, the image that little rectangle forms a vertical straight line is safety line magnetic code image schematic diagram, and large rectangular image is prefix code magnetic schematic diagram, and the rectangle of three strips is soft magnetism and Hard Magnetic image schematic diagram.
Step F, cutting safety line magnetic code image;
Cutting safety line magnetic code image key is to determine the region of safety line, the namely coordinate in the coordinate in the upper left corner and the lower right corner or the lower right corner and the upper left corner.Here with 50 yuan of 1999 editions, 2005 editions Renminbi of the 5th cover Renminbi, 100 yuan is example, as Fig. 3, shown in Fig. 4, magnetic image after binaryzation is most for there is no the background of magnetic signal, only has safety line magnetic code signal, prefix code region magnetic signal, soft magnetism and Hard Magnetic image.For safety line magnetic code signal is done to further explication de texte, must be Fig. 3, black, white magnetic code signal on Fig. 4 is cut down, the method of cutting is as follows: owing to magnetic image having been carried out to slant correction, as long as find reference position and end position (x, the y) coordinate of safety line magnetic code signal here.First look for the left upper apex of magnetic code signal, the magnetic image after the low threshold binarization of the Fig. 3 of take is example, for pick up speed, 1/3 part in the middle of Fig. 3 is carried out to vertical sweep from left to right, when scanning the row that occur lower than setting threshold, is required x
0, then magnetic image is carried out to horizontal scanning from top to bottom, when scanning the row occurring lower than setting threshold.Be required y
0, so just find the left upper apex (x of safety line magnetic code image
0, y
0), next step looks for summit, the bottom right (x of safety line magnetic code signal
1, y
1), as long as change a scanning direction here, look for x
1in time, is scanned from right to left, looks for y
1time, scanning from bottom to up.Find after the left upper apex and summit, bottom right of safety line magnetic code signal, just can cut this signal.For Fig. 4, the safety line magnetic code image cutting method after high threshold binaryzation is similar, no longer describes here.Surely, after putting in place, these pixels are taken out.
Step G, safety line cutting module carry out horizontal projection to two width magnetic code images after cutting;
The horizontal projection of safety line magnetic code signal.Safety line magnetic code signal divides the two-value safety line magnetic code image of low threshold value and the two-value safety line magnetic code picture of high threshold, as Fig. 5, and shown in Fig. 6, the two-value safety line magnetic code projected image that Fig. 5 is low threshold value, the two-value safety line magnetic code projected image that Fig. 6 is high threshold.Because the bianry image background of low threshold value is white, prospect is black, so when without magnetic signal, projection occurs that maximal value is 21, and while having signal, amplitude declines, signal is stronger, decline more, and the bianry image background of high threshold is black, prospect is white, when nonmagnetic number be that projection value is 0, while having signal, amplitude rises, and signal is stronger, and amplitude is larger.
Step H, by judge module relatively, realize horizontal projection curve is carried out to rule algorithm research, according to drop shadow curve's rule, bank note is carried out to high sensitivity false distinguishing;
The law-analysing of safety line magnetic code drop shadow curve and false distinguishing are crucial, and the rule of safety line magnetic code drop shadow curve is to be kept in the storer of false-identifying device.Fig. 5, Fig. 6 is the 5th cover Renminbi 99 editions, 05 edition 100 yuan safety line magnetic code perspective views, the two-value safety line magnetic code perspective view of Fig. 6 high threshold of take is example, and initial analysis, can find out, pulsating wave forms cyclical variation, and just amplitude is different, carefully analyzes and draws such rule, the high amplitude of waveform XianCheng, then returns 0, then is low amplitude value, and then return 0 such cyclical variation, by such rule, can carry out false distinguishing, general counterfeit money is difficult to accomplish this point.The cycle size of analyzing again it is how many, different bank note face amounts, the cycle of magnetic code signal is different, as can be drawn from Figure 6, the cycle of safety line magnetic code signal is about 22, comprises a high amplitude signal here, a low amplitude value signal, two 0 amplitude signals, by such rule, can think that this is 100 yuan of genuine notes.By analyzing, the rule of Fig. 5 is such, and its wave period is also about 22, one-period the inside comprises a large negative amplitude signal, a little negative amplitude signal, two amplitudes are 21 to be high magnitude reference, the two-value safety line magnetic code signal rule of low threshold value that Here it is.The two-value safety line magnetic code perspective view of high threshold of take is example, safety line magnetic code false distinguishing method is as described below: the cycle of first detecting drop shadow curve, it is standard that high amplitude pulse signal is take in the calculating in cycle, by scanning projection figure, obtain the position of each high amplitude pulse signal, with the coordinate of previous pulse, deduct the coordinate figure of a rear pulse signal, if the result of subtracting each other between 21 ~ 23, thinks that this bank note magnetic code signal meets the requirements; Then calculate the quantity of high impulse, if high impulse number is between 14 ~ 18, also think that this bank note magnetic code signal meets the requirements, last signal and the low pulse signal that whether contains two 0 amplitudes in each cycle that detect again, if signal meets these rules in most of cycle, meeting is the condition of genuine note, any one discontented can be judged to counterfeit money completely above three conditions, reason is false distinguishing parameter have been done to surplus in certain limit to process, to prevent that the narrow genuine notes that cause of parameter area are judged to counterfeit money.The two-value safety line magnetic code perspective view of the two-value safety line magnetic code perspective view discrimination method of low threshold value and high threshold is similar, first calculate the undersuing cycle, calculate again the quantity of negative pulse, whether finally detect each cycle there is corresponding signal, if these false distinguishing parameters all meet, be judged to be genuine note, otherwise be counterfeit money.Finally, adopt the two-value magnetic image of dual threshold, can carry out comprehensively analyzing and detecting to safety line magnetic code, do not miss any useful information in safety line, strengthened the false distinguishing ability of bank note.
In the invention process row, first magnetic image is carried out to slant correction, this has just solved magneto-dependent sensor can not carry out the drawback of slant correction to magnetic signal, reduced the impact that bank note tilts on false distinguishing; Then adopted dual threshold method to carry out binaryzation to magnetic image, in contrast to single threshold and process, dual threshold can remain the nearly all main information of magnetic image, and this not only facilitates next step signal to process, and also makes the curve law after projection outstanding; Then bank note safety line magnetic code waveform is carried out to Regularity Analysis, according to projection waveform rule, bank note magnetic signal being carried out to highly sensitive rate false distinguishing detects, greatly strengthened the false distinguishing ability of bank note, whether the present invention has also analyzed soft magnetism and Hard Magnetic image rule on Renminbi, by existing soft magnetism and Hard Magnetic signal to identify the version of the 5th cover Renminbi.
Claims (9)
1. the paper money discrimination method based on magnetic image, in paper money discrimination device, the magnetic image of the bank note that magnetic image sensor is obtained is processed, and it is characterized in that, comprises the following steps:
Step 1, calculate magnetic image histogram, get a low threshold value between histogrammic Far Left and intermediate peak lane place, in intermediate peak and histogram rightmost interval, get a high threshold;
Step 2, carry out binary conversion treatment, according to high and low dual threshold, obtain two width binaryzation magnetic images;
Step 3, two width binaryzation magnetic images are cut, cut out the binaryzation magnetic image of two width safety lines;
Step 4, the binaryzation magnetic image of two width safety lines after cutting is carried out to horizontal projection;
Step 5, whether the pulse waveform that judges two secondary binaryzation magnetic image horizontal projection curves of safety line meets sets regulation, if all met, sets regulation, is judged as genuine note.
2. the paper money discrimination method based on magnetic image according to claim 1, is characterized in that: before step 1, also need magnetic image to carry out image enhancement processing and slant correction.
3. the paper money discrimination method based on magnetic image according to claim 2, is characterized in that: slant correction comprises the following steps:
First by the discrete magnetic image of safety line, distribute, the safety line magnetic image straight line that matching discrete point magnetic image forms;
Adopt least square method, calculate slope k and the intercept b of safety line magnetic image straight line, thereby obtain inclined angle alpha;
With magnetic image central point, adopt the interpolation algorithm of nearest neighbor interpolation to carry out slant correction to magnetic image.
4. the paper money discrimination method based on magnetic image according to claim 3, is characterized in that: in described step 3, the magnetic image after high and low threshold binarization is adopted to following steps:
Find the left upper apex (x of safety line magnetic code image
0, y
0),
1/3 part in the middle of magnetic image after low threshold binarization is carried out to vertical sweep from left to right, when scanning the row that occur lower than setting threshold, be required x
0,
Magnetic image after low threshold binarization is carried out to horizontal scanning from top to bottom, when scanning the row occurring lower than setting threshold, be required y
0,
Find summit, the bottom right (x of safety line magnetic code image
1, y
1),
1/3 part in the middle of magnetic image after low threshold binarization is carried out to vertical sweep from right to left, when scanning the row that occur lower than setting threshold, be required x
1,
Magnetic image after low threshold binarization is carried out to horizontal scanning from bottom to up, when scanning the row occurring lower than setting threshold, be required y
1.
5. the paper money discrimination method based on magnetic image according to claim 1, is characterized in that: described setting regulation comprises:
The pulse waveform of the binaryzation magnetic image horizontal projection curve of high threshold is periodically, and each high amplitude of cycle XianCheng, then returns 0, then be low amplitude value, and then return 0;
The pulse waveform of the binaryzation magnetic image horizontal projection curve of low valve valve is the periodicity consistent with the pulse waveform cycle of the binaryzation magnetic image horizontal projection curve of high threshold, each negative amplitude signal of cycle XianCheng, then be high magnitude reference, be little negative amplitude signal again, finally get back to high magnitude reference.
6. the paper money discrimination method based on magnetic image according to claim 5, is characterized in that: the detection for the binaryzation magnetic image horizontal projection curve of high threshold comprises the following steps:
First detect the cycle of drop shadow curve, it is standard that high amplitude pulse signal is take in the calculating in cycle, by scanning projection figure, obtain the position of each high amplitude pulse signal, with the coordinate of previous high amplitude pulse, deduct the coordinate figure of a rear high amplitude pulse signal, if the result of subtracting each other between 21 ~ 23, thinks that this bank note magnetic code signal meets the requirements;
Then calculate the quantity of high impulse, if high amplitude pulse number between 14 ~ 18, thinks that this bank note magnetic code signal meets the requirements;
Finally detect again signal and a low pulse signal that whether contains two 0 amplitudes in each cycle, if sure, be genuine note, otherwise be counterfeit money.
7. the paper money discrimination method based on magnetic image according to claim 5, is characterized in that: the detection for the binaryzation magnetic image horizontal projection curve of high threshold comprises the following steps:
First calculate the undersuing cycle, the calculating in cycle be take undersuing as standard, by scanning projection curve map, obtain the position of each undersuing, with the coordinate of previous negative pulse, deduct the coordinate figure of a rear undersuing, if the result of subtracting each other between 21 ~ 23, thinks that this bank note magnetic code signal meets the requirements;
Calculate again the quantity of negative pulse, if negative pulse number between 14 ~ 18, thinks that this bank note magnetic code signal meets the requirements;
Whether there is two high magnitude reference and a little negative amplitude signal, be genuine note, otherwise be counterfeit money if sure if finally detecting each cycle.
8. a paper money discrimination device, this device carries out false distinguishing by detecting the feature of the magnetic image on bank note to bank note, comprise magnetic image acquisition device, the database that stores bank note magnetic image characteristic, is characterized in that: also comprise histogram calculation module, binary conversion treatment module, safety line cutting module, projection module and judge module;
The input end of described histogram calculation module is connected with the output terminal of described magnetic image acquisition device; The output terminal of described histogram calculation module is connected with the input end of described binary conversion treatment module; The output terminal of described binary conversion treatment module is connected with the input end of described safety line cutting module; The output terminal of described safety line cutting module is connected with the input end of described projection module; The input end of described judge module is connected with database with the output terminal of described projection module respectively, and whether the described judge module output terminal bank note detected with indication is that the indicating device of genuine note is connected;
The magnetic image histogram of the detected bank note that the described described magnetic image acquisition device of histogram calculation module calculating obtains;
The magnetic image histogram binaryzation that described binary conversion treatment module calculates described histogram calculation module generates binaryzation magnetic image, and the threshold values that described binary conversion treatment module adopts is got a low threshold value and get a high threshold in intermediate peak and histogram rightmost interval in being respectively between the histogrammic Far Left of magnetic image and intermediate peak lane place;
Described safety line cutting module cuts the binaryzation magnetic image that described binary conversion treatment module generates, and therefrom cuts out the binaryzation magnetic image of safety line;
Described projection module carries out horizontal projection by the binaryzation magnetic image of safety line, forms the horizontal projection curve of the binaryzation magnetic image of safety line;
Whether the corresponding magnetic image characteristic of the bank note comparison of preserving in the horizontal projection curve that described judge module is exported described projection module and described feature database, obtaining detected bank note is the result of genuine note.
9. paper money discrimination device according to claim 8, is characterized in that: also comprise and strengthen processing module and slant correction module;
The magnetic image of the detected bank note that described enhancing processing module obtains described magnetic image acquisition device is carried out the magnetic image that image enhancement processing output strengthens;
Described slant correction module is carried out slant correction to the magnetic image of the enhancing of described enhancing processing module output, and output outputs to described histogram calculation module through the magnetic image of slant correction.
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