CN105069899A - Currency detection method and currency detection device - Google Patents

Currency detection method and currency detection device Download PDF

Info

Publication number
CN105069899A
CN105069899A CN201510482012.7A CN201510482012A CN105069899A CN 105069899 A CN105069899 A CN 105069899A CN 201510482012 A CN201510482012 A CN 201510482012A CN 105069899 A CN105069899 A CN 105069899A
Authority
CN
China
Prior art keywords
detected
region
bank note
hpixel
local minimum
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201510482012.7A
Other languages
Chinese (zh)
Other versions
CN105069899B (en
Inventor
李�杰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Yihua Computer Co Ltd
Shenzhen Yihua Time Technology Co Ltd
Shenzhen Yihua Financial Intelligent Research Institute
Original Assignee
Shenzhen Yihua Computer Co Ltd
Shenzhen Yihua Time Technology Co Ltd
Shenzhen Yihua Financial Intelligent Research Institute
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Yihua Computer Co Ltd, Shenzhen Yihua Time Technology Co Ltd, Shenzhen Yihua Financial Intelligent Research Institute filed Critical Shenzhen Yihua Computer Co Ltd
Priority to CN201510482012.7A priority Critical patent/CN105069899B/en
Publication of CN105069899A publication Critical patent/CN105069899A/en
Application granted granted Critical
Publication of CN105069899B publication Critical patent/CN105069899B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Inspection Of Paper Currency And Valuable Securities (AREA)

Abstract

The embodiment of the invention discloses a currency detection method and a currency detection device. The currency detection method comprises the steps of: selecting an image in an ultraviolet fluorescent area of paper currency to be detected, and positioning the ultraviolet fluorescent area of the image according to a preset algorithm; acquiring local minimums of the image in the ultraviolet fluorescent area after positioning, wherein the local minimums are characteristic characters of the paper currency to be detected; and determining the authenticity of the paper currency to be detected according to an interval difference value between the local minimums and an interval difference value between characteristic characters of genuine currency, and detecting characteristic positions of the ultraviolet fluorescent area by adopting local minimums of a projection graph in the vertical direction, thereby greatly increasing the robustness.

Description

A kind of method of currency examine and banknote tester
Technical field
The technical field of embodiment of the present invention banknote tester, particularly relates to a kind of method and banknote tester of currency examine.
Background technology
In existing technology, the detection of the Ultraluminescence region true and false just detects according to its bright dark degree, and the gray average in Ultraluminescence region comparatively wants high in other region, detects more rough.
Another kind of mode is the gray average by calculating Ultraluminescence region, judges its true and false, and algorithm is simply rough, meticulous not, does not judge according to its corresponding feature, easily causes erroneous judgement to the bank note that some is faked.
Summary of the invention
The object of the embodiment of the present invention is the method and the banknote tester that propose a kind of currency examine, is intended to solve the problem of the accuracy how improving the Ultraluminescence identification note true and false.
For reaching this object, the embodiment of the present invention by the following technical solutions:
A method for currency examine, described method comprises:
Select the image in the Ultraluminescence region of bank note to be detected, position according to the Ultraluminescence region of the algorithm pre-set to described image;
Obtain the local minimum of the image in the described Ultraluminescence region behind location, described local minimum is the characteristic character of described bank note to be detected;
According to the interval difference between the interval difference between described local minimum and the characteristic character of genuine note, determine the true and false of described bank note to be detected.
Preferably, the Ultraluminescence region of the algorithm that described basis pre-sets to described image positions, and comprising:
If meet if ((Hpixel [i+1]-Hpixel [i] >h_th) & & (Hpixel [i+2]-Hpixel [i] >h_th)), then determine that i is the left-hand line border in described Ultraluminescence region;
Wherein, Hpixel [i] represent the i-th row row and, Hpixel [i+1] represent the i-th+1 row arrange and, Hpixel [i+2] represent the i-th+2 row arranged with, h_th represents the threshold value determining left-hand line border.
Preferably, described according to the interval difference between the interval difference between described local minimum and the characteristic character of genuine note, determine the true and false of described bank note to be detected, comprising:
If the interval difference between the interval difference of described local minimum and the characteristic character of genuine note is identical, then determine that described bank note to be detected is true;
If the interval difference between the interval difference of described local minimum and the characteristic character of genuine note is different, then determine that described bank note to be detected is false.
Preferably, described method also comprises:
Determine the region that the metal wire of described bank note to be detected blocks;
The local minimum of described bank note to be detected is determined in the region of blocking according to the metal wire of described bank note to be detected.
Preferably, describedly determine the region that the metal wire of described bank note to be detected blocks, to comprise:
If max_val-mean_l>th or max_val-mean_r>th, then determine that the region selected is the region that metal wire blocks;
Wherein, max_val represents selection area, mean_l representation feature point range left side apportion and average, mean_r representation feature point range right-hand column and average, th represents threshold value.
A kind of banknote tester, described banknote tester comprises:
Locating module, for selecting the image in the Ultraluminescence region of bank note to be detected, positions according to the Ultraluminescence region of the algorithm pre-set to described image;
Acquisition module, for obtaining the local minimum of the image in the described Ultraluminescence region behind location, described local minimum is the characteristic character of described bank note to be detected;
First determination module, for according to the interval difference between the interval difference between described local minimum and the characteristic character of genuine note, determines the true and false of described bank note to be detected.
Preferably, described locating module is used for:
If meet if ((Hpixel [i+1]-Hpixel [i] >h_th) & & (Hpixel [i+2]-Hpixel [i] >h_th)), then determine that i is the left-hand line border in described Ultraluminescence region;
Wherein, Hpixel [i] represent the i-th row row and, Hpixel [i+1] represent the i-th+1 row arrange and, Hpixel [i+2] represent the i-th+2 row arranged with, h_th represents the threshold value determining left-hand line border.
Preferably, described determination module, comprising:
First determining unit, if identical for the interval difference between the interval difference of described local minimum and the characteristic character of genuine note, then determines that described bank note to be detected is true;
Second determining unit, if different for the interval difference between the interval difference of described local minimum and the characteristic character of genuine note, then determines that described bank note to be detected is false.
Preferably, described device also comprises:
Second determination module, for determining the region that the metal wire of described bank note to be detected blocks;
3rd determination module, the local minimum of described bank note to be detected is determined in the region for blocking according to the metal wire of described bank note to be detected.
Preferably, described second determination module, for:
If max_val-mean_l>th or max_val-mean_r>th, then determine that the region selected is the region that metal wire blocks;
Wherein, max_val represents selection area, mean_l representation feature point range left side apportion and average, mean_r representation feature point range right-hand column and average, th represents threshold value.
The embodiment of the present invention, by selecting the image in the Ultraluminescence region of bank note to be detected, positions according to the Ultraluminescence region of the algorithm pre-set to described image; Obtain the local minimum of the image in the described Ultraluminescence region behind location, described local minimum is the characteristic character of described bank note to be detected; According to the interval difference between the interval difference between described local minimum and the characteristic character of genuine note, determine the true and false of described bank note to be detected, thus adopting the local minimum of vertical direction perspective view to detect Ultraluminescence provincial characteristics position, robustness is greatly enhanced.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of method first embodiment of embodiment of the present invention currency examine;
Fig. 2 is the schematic diagram of the Ultraluminescence area image of a kind of 100 yuan notes that the embodiment of the present invention provides;
Fig. 3 is the schematic flow sheet of method second embodiment of embodiment of the present invention currency examine;
Fig. 4 is the schematic diagram that a kind of metal wire that the embodiment of the present invention provides blocks;
Fig. 5 is the high-level schematic functional block diagram of embodiment of the present invention banknote tester;
Fig. 6 is the high-level schematic functional block diagram of the embodiment of the present invention first determination module 503;
Fig. 7 is the high-level schematic functional block diagram of embodiment of the present invention banknote tester.
Embodiment
Below in conjunction with drawings and Examples, the embodiment of the present invention is described in further detail.Be understandable that, specific embodiment described herein is only for explaining the embodiment of the present invention, but not the restriction to the embodiment of the present invention.It also should be noted that, for convenience of description, illustrate only the part relevant to the embodiment of the present invention in accompanying drawing but not entire infrastructure.
Embodiment one
It is the schematic flow sheet of method first embodiment of embodiment of the present invention currency examine with reference to figure 1, Fig. 1.
In embodiment one, the method for described currency examine comprises:
Step 101, selects the image in the Ultraluminescence region of bank note to be detected, positions according to the Ultraluminescence region of the algorithm pre-set to described image;
Preferably, the Ultraluminescence region of the algorithm that described basis pre-sets to described image positions, and comprising:
If meet if ((Hpixel [i+1]-Hpixel [i] >h_th) & & (Hpixel [i+2]-Hpixel [i] >h_th)), then determine that i is the left-hand line border in described Ultraluminescence region;
Wherein, Hpixel [i] represent the i-th row row and, Hpixel [i+1] represent the i-th+1 row arrange and, Hpixel [i+2] represent the i-th+2 row arranged with, h_th represents the threshold value determining left-hand line border.
Step 102, obtain the local minimum of the image in the described Ultraluminescence region behind location, described local minimum is the characteristic character of described bank note to be detected;
Step 103, according to the interval difference between the interval difference between described local minimum and the characteristic character of genuine note, determines the true and false of described bank note to be detected.
Preferably, described according to the interval difference between the interval difference between described local minimum and the characteristic character of genuine note, determine the true and false of described bank note to be detected, comprising:
If the interval difference between the interval difference of described local minimum and the characteristic character of genuine note is identical, then determine that described bank note to be detected is true;
If the interval difference between the interval difference of described local minimum and the characteristic character of genuine note is different, then determine that described bank note to be detected is false.
Concrete, be the schematic diagram of the Ultraluminescence area image of a kind of 100 yuan notes that the embodiment of the present invention provides with reference to figure 2, Fig. 2.
First (left character of " 18 " character is " 8 ", the minimal value of the right figure high order end of corresponding diagram 2, and this feature is comparatively obvious, can position according to this feature of minimal value to it to orient the position of " 9 " in the left figure of Fig. 2.
According to " 9 " position, orient further feature point, 5 positions at fluorescence area as shown in Figure 2, then carry out feature detection.If have more than 2 or 2 not meet decision condition in 5 unique points, then think that fluorescence area is differentiated unsuccessfully.Here the major way of feature detection is that minimum point detects.
The embodiment of the present invention, by selecting the image in the Ultraluminescence region of bank note to be detected, positions according to the Ultraluminescence region of the algorithm pre-set to described image; Obtain the local minimum of the image in the described Ultraluminescence region behind location, described local minimum is the characteristic character of described bank note to be detected; According to the interval difference between the interval difference between described local minimum and the characteristic character of genuine note, determine the true and false of described bank note to be detected, thus adopting the local minimum of vertical direction perspective view to detect Ultraluminescence provincial characteristics position, robustness is greatly enhanced.
Embodiment two
It is the schematic flow sheet of method second embodiment of embodiment of the present invention currency examine with reference to figure 3, Fig. 3.
On the basis of embodiment one, the method for described currency examine also comprises:
Step 104, determines the region that the metal wire of described bank note to be detected blocks;
Preferably, describedly determine the region that the metal wire of described bank note to be detected blocks, to comprise:
If max_val-mean_l>th or max_val-mean_r>th, then determine that the region selected is the region that metal wire blocks;
Wherein, max_val represents selection area, mean_l representation feature point range left side apportion and average, mean_r representation feature point range right-hand column and average, th represents threshold value.
Step 105, the local minimum of described bank note to be detected is determined in the region of blocking according to the metal wire of described bank note to be detected.
Concrete, be the schematic diagram that a kind of metal wire that the embodiment of the present invention provides blocks with reference to figure 4, Fig. 4.For the region that metal wire blocks, its gray-scale value is low compared with other place, if max_val-mean_l>th or max_val-mean_r>th, then think exist magnetic stripe cover situation, though the non-minimal value of unique point is also judged to be to be true herein.Max_val represent selection area (can choose unique point row left and right each 10 row) row and maximal value, the average of mean_l representation feature point range left side apportion and (desirable left side 10 arranges), mean_r representation feature point range right-hand column and average, th represents threshold value (herein desirable 1200).
The embodiment of the present invention, by selecting the image in the Ultraluminescence region of bank note to be detected, positions according to the Ultraluminescence region of the algorithm pre-set to described image; Obtain the local minimum of the image in the described Ultraluminescence region behind location, described local minimum is the characteristic character of described bank note to be detected; According to the interval difference between the interval difference between described local minimum and the characteristic character of genuine note, determine the true and false of described bank note to be detected, thus adopting the local minimum of vertical direction perspective view to detect Ultraluminescence provincial characteristics position, robustness is greatly enhanced; Meanwhile, when introducing metal wire blocks feature detection place, the feature detection low according to metal wire gray-scale value goes out the situation that metal wire blocks, and improves the precision of algorithm.
Embodiment three
With reference to the high-level schematic functional block diagram that figure 5, Fig. 5 is embodiment of the present invention banknote tester.
In embodiment three, described banknote tester comprises:
Locating module 501, for selecting the image in the Ultraluminescence region of bank note to be detected, positions according to the Ultraluminescence region of the algorithm pre-set to described image;
Preferably, described locating module 501 for:
If meet if ((Hpixel [i+1]-Hpixel [i] >h_th) & & (Hpixel [i+2]-Hpixel [i] >h_th)), then determine that i is the left-hand line border in described Ultraluminescence region;
Wherein, Hpixel [i] represent the i-th row row and, Hpixel [i+1] represent the i-th+1 row arrange and, Hpixel [i+2] represent the i-th+2 row arranged with, h_th represents the threshold value determining left-hand line border.
Acquisition module 502, for obtaining the local minimum of the image in the described Ultraluminescence region behind location, described local minimum is the characteristic character of described bank note to be detected;
First determination module 503, for according to the interval difference between the interval difference between described local minimum and the characteristic character of genuine note, determines the true and false of described bank note to be detected.
Preferably, with reference to figure 6, Fig. 6 be the high-level schematic functional block diagram of the embodiment of the present invention first determination module 503.
Described first determination module 503, comprising:
First determining unit 601, if identical for the interval difference between the interval difference of described local minimum and the characteristic character of genuine note, then determines that described bank note to be detected is true;
Second determining unit 602, if different for the interval difference between the interval difference of described local minimum and the characteristic character of genuine note, then determines that described bank note to be detected is false.
Concrete, be the schematic diagram of the Ultraluminescence area image of a kind of 100 yuan notes that the embodiment of the present invention provides with reference to figure 2, Fig. 2.
First (left character of " 18 " character is " 8 ", the minimal value of the right figure high order end of corresponding diagram 2, and this feature is comparatively obvious, can position according to this feature of minimal value to it to orient the position of " 9 " in the left figure of Fig. 2.
According to " 9 " position, orient further feature point, 5 positions at fluorescence area as shown in Figure 2, then carry out feature detection.If have more than 2 or 2 not meet decision condition in 5 unique points, then think that fluorescence area is differentiated unsuccessfully.Here the major way of feature detection is that minimum point detects.
The embodiment of the present invention, by selecting the image in the Ultraluminescence region of bank note to be detected, positions according to the Ultraluminescence region of the algorithm pre-set to described image; Obtain the local minimum of the image in the described Ultraluminescence region behind location, described local minimum is the characteristic character of described bank note to be detected; According to the interval difference between the interval difference between described local minimum and the characteristic character of genuine note, determine the true and false of described bank note to be detected, thus adopting the local minimum of vertical direction perspective view to detect Ultraluminescence provincial characteristics position, robustness is greatly enhanced.
Embodiment four
With reference to the high-level schematic functional block diagram that figure 7, Fig. 7 is embodiment of the present invention banknote tester.
On the basis of embodiment three, described banknote tester also comprises:
Second determination module 504, for determining the region that the metal wire of described bank note to be detected blocks;
Preferably, described second determination module 504, for:
If max_val-mean_l>th or max_val-mean_r>th, then determine that the region selected is the region that metal wire blocks;
Wherein, max_val represents selection area, mean_l representation feature point range left side apportion and average, mean_r representation feature point range right-hand column and average, th represents threshold value.
3rd determination module 505, the local minimum of described bank note to be detected is determined in the region for blocking according to the metal wire of described bank note to be detected.
Concrete, be the schematic diagram that a kind of metal wire that the embodiment of the present invention provides blocks with reference to figure 4, Fig. 4.For the region that metal wire blocks, its gray-scale value is low compared with other place, if max_val-mean_l>th or max_val-mean_r>th, then think exist magnetic stripe cover situation, though the non-minimal value of unique point is also judged to be to be true herein.Max_val represent selection area (can choose unique point row left and right each 10 row) row and maximal value, the average of mean_l representation feature point range left side apportion and (desirable left side 10 arranges), mean_r representation feature point range right-hand column and average, th represents threshold value (herein desirable 1200).
The embodiment of the present invention, by selecting the image in the Ultraluminescence region of bank note to be detected, positions according to the Ultraluminescence region of the algorithm pre-set to described image; Obtain the local minimum of the image in the described Ultraluminescence region behind location, described local minimum is the characteristic character of described bank note to be detected; According to the interval difference between the interval difference between described local minimum and the characteristic character of genuine note, determine the true and false of described bank note to be detected, thus adopting the local minimum of vertical direction perspective view to detect Ultraluminescence provincial characteristics position, robustness is greatly enhanced; Meanwhile, when introducing metal wire blocks feature detection place, the feature detection low according to metal wire gray-scale value goes out the situation that metal wire blocks, and improves the precision of algorithm.
Below the know-why of the embodiment of the present invention is described in conjunction with specific embodiments.These describe the principle just in order to explain the embodiment of the present invention, and can not be interpreted as the restriction to embodiment of the present invention protection domain by any way.Based on explanation herein, those skilled in the art does not need to pay other embodiment that performing creative labour can associate the embodiment of the present invention, these modes all by fall into the embodiment of the present invention protection domain within.

Claims (10)

1. a method for currency examine, is characterized in that, described method comprises:
Select the image in the Ultraluminescence region of bank note to be detected, position according to the Ultraluminescence region of the algorithm pre-set to described image;
Obtain the local minimum of the image in the described Ultraluminescence region behind location, described local minimum is the characteristic character of described bank note to be detected;
According to the interval difference between the interval difference between described local minimum and the characteristic character of genuine note, determine the true and false of described bank note to be detected.
2. method according to claim 1, is characterized in that, the Ultraluminescence region of the algorithm that described basis pre-sets to described image positions, and comprising:
If meet if ((Hpixel [i+1]-Hpixel [i] >h_th) & & (Hpixel [i+2]-Hpixel [i] >h_th)), then determine that i is the left-hand line border in described Ultraluminescence region;
Wherein, Hpixel [i] represent the i-th row row and, Hpixel [i+1] represent the i-th+1 row arrange and, Hpixel [i+2] represent the i-th+2 row arranged with, h_th represents the threshold value determining left-hand line border.
3. method according to claim 1, is characterized in that, described according to the interval difference between the interval difference between described local minimum and the characteristic character of genuine note, determines the true and false of described bank note to be detected, comprising:
If the interval difference between the interval difference of described local minimum and the characteristic character of genuine note is identical, then determine that described bank note to be detected is true;
If the interval difference between the interval difference of described local minimum and the characteristic character of genuine note is different, then determine that described bank note to be detected is false.
4. the method according to claims 1 to 3 any one, is characterized in that, described method also comprises:
Determine the region that the metal wire of described bank note to be detected blocks;
The local minimum of described bank note to be detected is determined in the region of blocking according to the metal wire of described bank note to be detected.
5. method according to claim 4, is characterized in that, describedly determines the region that the metal wire of described bank note to be detected blocks, to comprise:
If max_val-mean_l>th or max_val-mean_r>th, then determine that the region selected is the region that metal wire blocks;
Wherein, max_val represents selection area, mean_l representation feature point range left side apportion and average, mean_r representation feature point range right-hand column and average, th represents threshold value.
6. a banknote tester, is characterized in that, described banknote tester comprises:
Locating module, for selecting the image in the Ultraluminescence region of bank note to be detected, positions according to the Ultraluminescence region of the algorithm pre-set to described image;
Acquisition module, for obtaining the local minimum of the image in the described Ultraluminescence region behind location, described local minimum is the characteristic character of described bank note to be detected;
First determination module, for according to the interval difference between the interval difference between described local minimum and the characteristic character of genuine note, determines the true and false of described bank note to be detected.
7. device according to claim 6, is characterized in that, described locating module is used for:
If meet if ((Hpixel [i+1]-Hpixel [i] >h_th) & & (Hpixel [i+2]-Hpixel [i] >h_th)), then determine that i is the left-hand line border in described Ultraluminescence region;
Wherein, Hpixel [i] represent the i-th row row and, Hpixel [i+1] represent the i-th+1 row arrange and, Hpixel [i+2] represent the i-th+2 row arranged with, h_th represents the threshold value determining left-hand line border.
8. device according to claim 6, is characterized in that, described first determination module, comprising:
First determining unit, if identical for the interval difference between the interval difference of described local minimum and the characteristic character of genuine note, then determines that described bank note to be detected is true;
Second determining unit, if different for the interval difference between the interval difference of described local minimum and the characteristic character of genuine note, then determines that described bank note to be detected is false.
9. the device according to claim 6 to 8 any one, is characterized in that, described device also comprises:
Second determination module, for determining the region that the metal wire of described bank note to be detected blocks;
3rd determination module, the local minimum of described bank note to be detected is determined in the region for blocking according to the metal wire of described bank note to be detected.
10. device according to claim 9, is characterized in that, described second determination module, for:
If max_val-mean_l>th or max_val-mean_r>th, then determine that the region selected is the region that metal wire blocks;
Wherein, max_val represents selection area, mean_l representation feature point range left side apportion and average, mean_r representation feature point range right-hand column and average, th represents threshold value.
CN201510482012.7A 2015-08-03 2015-08-03 The method and banknote tester of a kind of currency examination Expired - Fee Related CN105069899B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510482012.7A CN105069899B (en) 2015-08-03 2015-08-03 The method and banknote tester of a kind of currency examination

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510482012.7A CN105069899B (en) 2015-08-03 2015-08-03 The method and banknote tester of a kind of currency examination

Publications (2)

Publication Number Publication Date
CN105069899A true CN105069899A (en) 2015-11-18
CN105069899B CN105069899B (en) 2017-08-29

Family

ID=54499255

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510482012.7A Expired - Fee Related CN105069899B (en) 2015-08-03 2015-08-03 The method and banknote tester of a kind of currency examination

Country Status (1)

Country Link
CN (1) CN105069899B (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106251468A (en) * 2016-07-27 2016-12-21 深圳怡化电脑股份有限公司 A kind of paper money discrimination method and apparatus
CN106504406A (en) * 2016-11-01 2017-03-15 深圳怡化电脑股份有限公司 A kind of method and device of identification bank note
CN106780954A (en) * 2016-12-01 2017-05-31 深圳怡化电脑股份有限公司 A kind of method and device of paper money recognition
CN107481394A (en) * 2017-07-03 2017-12-15 深圳怡化电脑股份有限公司 Recognition methods, identification device and the terminal device of bank note
CN108242058A (en) * 2016-12-26 2018-07-03 深圳怡化电脑股份有限公司 Image boundary lookup method and device

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20100006875A (en) * 2008-07-10 2010-01-22 엘지엔시스(주) Apparatus for media recognition and method for kind and truth distinction with the same
CN102324132A (en) * 2011-05-25 2012-01-18 深圳市怡化电脑有限公司 Bank-note detecting method by identifying ultraviolet-light image and system
CN102737435A (en) * 2011-04-11 2012-10-17 北京新岸线数字图像技术有限公司 Paper money discrimination method and device
CN104036290A (en) * 2014-06-11 2014-09-10 新达通科技股份有限公司 Method and device for identifying face value of paper money
CN104574642A (en) * 2015-01-30 2015-04-29 广州广电运通金融电子股份有限公司 Method and device for detecting color-variable printing ink of renminbi on basis of Lab color spaces
CN104778778A (en) * 2015-03-23 2015-07-15 深圳怡化电脑股份有限公司 Money checking method and system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20100006875A (en) * 2008-07-10 2010-01-22 엘지엔시스(주) Apparatus for media recognition and method for kind and truth distinction with the same
CN102737435A (en) * 2011-04-11 2012-10-17 北京新岸线数字图像技术有限公司 Paper money discrimination method and device
CN102324132A (en) * 2011-05-25 2012-01-18 深圳市怡化电脑有限公司 Bank-note detecting method by identifying ultraviolet-light image and system
CN104036290A (en) * 2014-06-11 2014-09-10 新达通科技股份有限公司 Method and device for identifying face value of paper money
CN104574642A (en) * 2015-01-30 2015-04-29 广州广电运通金融电子股份有限公司 Method and device for detecting color-variable printing ink of renminbi on basis of Lab color spaces
CN104778778A (en) * 2015-03-23 2015-07-15 深圳怡化电脑股份有限公司 Money checking method and system

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106251468A (en) * 2016-07-27 2016-12-21 深圳怡化电脑股份有限公司 A kind of paper money discrimination method and apparatus
CN106251468B (en) * 2016-07-27 2019-03-12 深圳怡化电脑股份有限公司 A kind of paper money discrimination method and apparatus
CN106504406A (en) * 2016-11-01 2017-03-15 深圳怡化电脑股份有限公司 A kind of method and device of identification bank note
CN106504406B (en) * 2016-11-01 2019-11-15 深圳怡化电脑股份有限公司 A kind of method and device identifying bank note
CN106780954A (en) * 2016-12-01 2017-05-31 深圳怡化电脑股份有限公司 A kind of method and device of paper money recognition
CN108242058A (en) * 2016-12-26 2018-07-03 深圳怡化电脑股份有限公司 Image boundary lookup method and device
CN107481394A (en) * 2017-07-03 2017-12-15 深圳怡化电脑股份有限公司 Recognition methods, identification device and the terminal device of bank note
CN107481394B (en) * 2017-07-03 2019-10-11 深圳怡化电脑股份有限公司 Recognition methods, identification device and the terminal device of bank note

Also Published As

Publication number Publication date
CN105069899B (en) 2017-08-29

Similar Documents

Publication Publication Date Title
CN105069899A (en) Currency detection method and currency detection device
CN105303676B (en) A kind of version recognition methods of bank note and system
CN104318257A (en) Paper currency recognition method and system
CN108320373B (en) Method and device for detecting anti-counterfeiting mark of paper money
CN107103683B (en) Paper money identification method and device, electronic equipment and storage medium
WO2012139354A1 (en) Paper money identifying method and device
CN105374105A (en) Method used by mobile terminal for identifying authenticity of banknote
CN105261108B (en) A kind of method and system of RMB value of money identification
CN104966349A (en) ATM platform-based method of detecting new bank note and old bank note
CN107610322B (en) Banknote version identification method and device, electronic equipment and storage medium
CN105069900A (en) Method and device for processing banknote information
CN107331031B (en) A kind of recognition methods of note denomination, device, equipment and storage medium
CN110956737B (en) Safety line identification method and device
CN106485828B (en) A kind of Paper Currency Identification and device
CN106408747B (en) A kind of image-recognizing method and device
CN105427448A (en) Method and device of obtaining banknote security thread boundary
CN106780966B (en) A kind of paper money discrimination method and device
CN107134047B (en) White watermark detection method and device
CN105184950A (en) Method and device for analyzing banknote to be old or new
CN104537364A (en) Dollar bill denomination and edition identifying method based on texture analysis
CN109767543B (en) Paper money detection method and system
CN106447908B (en) Paper money counterfeit distinguishing method and device
CN106447907B (en) A kind of detection method and device of banknote image abnormity
CN108711213A (en) A kind of recognition methods of bank note zebra stripes black and white block and device
CN106296975B (en) method and device for identifying face value of dollar paper money

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20170829

CF01 Termination of patent right due to non-payment of annual fee