WO2014056311A1 - 一种有价文件鉴别方法及装置 - Google Patents
一种有价文件鉴别方法及装置 Download PDFInfo
- Publication number
- WO2014056311A1 WO2014056311A1 PCT/CN2013/073647 CN2013073647W WO2014056311A1 WO 2014056311 A1 WO2014056311 A1 WO 2014056311A1 CN 2013073647 W CN2013073647 W CN 2013073647W WO 2014056311 A1 WO2014056311 A1 WO 2014056311A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- sensor
- signal
- image
- value document
- magnetic
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 27
- 238000001514 detection method Methods 0.000 claims abstract description 53
- 230000000694 effects Effects 0.000 abstract description 3
- 238000006243 chemical reaction Methods 0.000 abstract 1
- 238000009826 distribution Methods 0.000 description 16
- 238000010586 diagram Methods 0.000 description 14
- 238000012546 transfer Methods 0.000 description 9
- 230000005540 biological transmission Effects 0.000 description 8
- 239000011159 matrix material Substances 0.000 description 8
- 230000004927 fusion Effects 0.000 description 5
- 238000005520 cutting process Methods 0.000 description 4
- 238000013461 design Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000003860 storage Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 3
- 230000000750 progressive effect Effects 0.000 description 3
- 238000012937 correction Methods 0.000 description 2
- 238000006073 displacement reaction Methods 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000003709 image segmentation Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
Classifications
-
- 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
- G07D7/16—Testing the dimensions
- G07D7/164—Thickness
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/018—Certifying business or products
- G06Q30/0185—Product, service or business identity fraud
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/80—Recognising image objects characterised by unique random patterns
-
- 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
- G07D7/04—Testing magnetic properties of the materials thereof, e.g. by detection of magnetic imprint
-
- 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
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/20—Testing patterns thereon
- G07D7/202—Testing patterns thereon using pattern matching
- G07D7/206—Matching template patterns
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/18—Legal services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/95—Pattern authentication; Markers therefor; Forgery detection
Definitions
- the present invention relates to the field of value document authentication, and more particularly to a value document identification method and apparatus. Background technique
- An automatic rejecting machine (ATM) of a financial institution such as a bank is equipped with a valuable document discriminating device for identifying the current value document type and authenticity by identifying characteristics of current value documents (such as banknotes).
- ATM automatic rejecting machine
- template information of various value documents is pre-stored, and the template information includes an image signal, a magnetic signal, and a thickness signal of the value document.
- the discriminating device uses the image sensor to collect the image signal of the current value document, uses the magnetic sensor to collect the magnetic signal of the current value document, and uses the thickness sensor to collect the thickness signal of the current value document; then, Comparing the collected image signal, the magnetic signal and the thickness signal with the image signal, the magnetic signal and the thickness signal in the template information, and determining whether the collected plurality of signals are identical to the plurality of signals in the template information, and if they are the same, Means that the current value document is a real currency, otherwise, it indicates the current The value document is a counterfeit currency, thereby identifying the type and authenticity of the current value document by identifying the image signal, the magnetic signal and the thickness signal.
- the image signal, magnetic signal, and thickness signal stored in the template information of the automatic rejector are collected while the plurality of sensors are always parallel to the longest side of the value document.
- the value document is transmitted in the automatic rejection machine, often with a tilt or offset, so that the multiple sensors of the authentication device collect the value document at the tilt or The signal in the offset state, so when the discriminating device compares the tilted signal collected by the plurality of sensors with the signal in the template information, even if the current value document is a genuine currency, the discriminating device will have a corresponding position The signal is different and it is determined that the current value document is a counterfeit currency, or the authentication device cannot determine the authenticity.
- the automatic rejection machine's identification device will be unable to judge or misreport the counterfeit currency, and the user is required to put the value document newly.
- a value document may need to be inserted multiple times, and the identification device can correctly identify and process, so the existing identification device has a low recognition accuracy for the value document, thereby reducing the working efficiency of the authentication device, and bringing the user with Inconvenience, affecting the user experience of self-service devices.
- the present invention is designed to provide a method for authenticating value documents and loading Set to improve the recognition accuracy of the authentication device.
- a method for identifying valuable documents including:
- the detection object Acquiring an image signal and a first signal of the detection object by the image sensor and the first sensor, the detection object comprising the value document and the reference unit;
- Determining an image signal of the value document in an image signal of the detection object when an image signal in a preset area of the value document matches an image signal in the preset area of template information, And determining a positional relationship between the image sensor and the first sensor according to a positional relationship between the image sensor and the reference unit and a positional relationship between the first sensor and the reference unit, where the template information includes an image. a signal and a second signal; determining a second signal of the template information at a preset position;
- Determining a positional relationship between the preset position of the detection object and the image sensor determining a positional relationship between the preset position of the detection object and the first sensor according to a positional relationship between the image sensor and the first sensor ;
- the first sensor is specifically a magnetic sensor, and the first signal and the second signal are both magnetic signals.
- the first sensor is specifically a thickness sensor, and the first signal and the second signal are both thickness signals.
- the first sensor comprises a magnetic sensor and a thickness sensor
- the second signal includes both a magnetic signal and a thickness signal.
- a value document authentication device comprising:
- An image sensor configured to collect an image signal of the detection object, where the detection object includes the value document and a reference unit;
- a first sensor configured to collect a first signal of the detection object
- a first determining module configured to determine an image signal of the value document in an image signal of the detection object
- a second determining module configured to: when the image signal in the preset area of the value document matches the image signal in the preset area of the template information, according to the image sensor and the reference unit a positional relationship and a positional relationship between the first sensor and the reference unit to determine a positional relationship between the image sensor and the first sensor, the template information comprising an image signal and a second signal;
- a third determining module configured to determine a second signal of the template information at a preset position
- a fourth determining module configured to determine a positional relationship between the preset position of the detecting object and the image sensor
- a fifth determining module determining a positional relationship between the preset position of the detecting object and the first sensor according to a positional relationship between the image sensor and the first sensor;
- a determining module configured to determine whether the first signal of the first sensor to collect the detection object at the preset position is the same as the second signal of the template information at the preset position
- a display module configured to display that the value document is a real coin or a counterfeit currency.
- the first sensor is specifically a magnetic sensor, and the first signal and the second signal are both magnetic signals.
- the first sensor is specifically a thickness sensor, and the first signal and the second signal are both thickness signals.
- the first sensor comprises a magnetic sensor and a thickness sensor
- the first signal and the second signal each comprise a magnetic signal and a thickness signal.
- the technical solution provided by the embodiment has the following advantages and features:
- the identification does not affect the identification.
- the effect of the price file because before using the value document, the reference unit is needed to determine the positional relationship between the image sensor and the first sensor, thereby avoiding the error of identifying the value document due to the offset of each sensor;
- the solution provided by the present invention improves the recognition accuracy and work efficiency of the authentication device, thereby providing convenience to the user.
- FIG. 1 is a flow chart of a method for authenticating a value document according to the present invention
- FIG. 2 is a block diagram of a value document discriminating device provided by the present invention.
- FIG. 3 is a schematic diagram of an image of a value document provided by the present invention.
- FIG. 4 is a schematic diagram of an image collected by an image sensor provided by the present invention
- Figure 5 is a schematic diagram of an image on a xoy coordinate axis provided by the present invention
- Figure 6 is a schematic diagram of an image on a coordinate axis provided by the present invention.
- FIG. 7 is a schematic diagram of a coordinate axis image and a template image provided by the present invention
- FIG. 8 is a schematic diagram of an image on a xoy coordinate axis provided by the present invention
- Figure 9 shows xoy, XOY and ⁇ ' provided by the present invention. '" image diagram;
- FIG. 10 is a schematic diagram of an image of a value document provided by the present invention.
- Figure 11 is a schematic diagram of an image on a xoy coordinate axis provided by the present invention.
- FIG. 12 shows xoy, 0 ⁇ and ⁇ ' provided by the present invention. ";" A schematic view of an image; FIG. 13 there is a further provided by the present invention, the discriminating means of the value document module schematic diagram; FIG. 14 is a side view of the delivery system provided by the invention;
- Figure 15 is a plan view of the transport system provided by the present invention.
- Figure 16 is a schematic view showing the distribution of sensors provided by the present invention.
- Figure 17 is a schematic view of a reference unit provided by the present invention.
- FIG. 18 is a schematic diagram of a module of a processor provided by the present invention.
- the embodiment of the invention provides a method and device for identifying a value document, so as to improve identification
- the identification accuracy and work efficiency of the device provide convenience for the user.
- FIG. 1 is a flowchart of a value document identification method, and the method includes:
- Step S11 Acquire an image signal of the detection object and a first signal by using an image sensor and a first sensor, where the detection object includes the value document and the reference unit;
- the first sensor may be a magnetic sensor or a thickness sensor, or the first sensor includes a magnetic sensor and a thickness sensor, but the design idea of the present invention is not limited to the two sensors or a combination thereof, and may be other Type of sensor.
- the magnetic sensor collects the magnetic signal from the value document
- the thickness sensor collects the thickness signal from the value document.
- Step S12 determining an image signal of the value document in an image signal of the detection object
- the detection object since the detection object includes the value document and the reference unit, and the subsequent step requires the image signal of the value document, the image signal of the value document needs to be cut out from the image signal of the detection object.
- Step S13 when the image signal of the preset area of the value document matches the image signal of the preset area of the template information, according to the positional relationship between the image sensor and the reference unit Determining a positional relationship between the first sensor and the reference unit to determine a positional relationship between the image sensor and the first sensor, the template information comprising an image signal and a second signal;
- the preset area may be large or small, and the staff may pre-set the preset area.
- the preset area may be a RMB avatar area, if the image signal of the value document matches the image signal of the template information.
- you can pass the current denomination of the template information for example, the denomination of the current template information is 50 yuan, then the denomination of the value document is also 50 yuan. In this step, only the denomination value input by the user can be judged, and the authenticity of the value document cannot be determined.
- Step S14 Determine a second signal that the template information is at a preset position
- the second signal at the preset position may be a magnetic signal, a thickness signal, or a magnetic signal and a thickness signal.
- Step S15 determining a relationship between a preset position of the detection object and a position of the image sensor
- Step S16 determining a positional relationship between the preset position of the detection object and the first sensor according to a positional relationship between the image sensor and the first sensor;
- the preset position of the detection object and the positional relationship of the first sensor are further determined by the above two steps.
- Step S17 determining whether the first signal of the first sensor to collect the detection object at the preset position is the same as the second signal of the template information at the preset position; if yes, proceeding to step S18; Step S19.
- the determination is an error correction determination, that is, determining whether the first signal of the detection object is the same as the second signal of the template information, and the second signal of the template information is a signal acquired in an ideal state, and the first signal of the detection object is even
- the acquisition in the shift state does not affect the correctness of the judgment, because the positional relationship is changed inside.
- Step S18 Display that the value document is a real coin
- Step S19 Display the value document as a counterfeit currency.
- the solution provided by the present invention improves the recognition accuracy and work efficiency of the authentication device, thereby providing convenience to the user.
- FIG. 2 is a block diagram of a value document discriminating device, the device comprising: an image sensor 1 for collecting an image signal of a detection object, the detection object including the price a first sensor 2, configured to acquire a first signal of the detection object; a first determining module 3, configured to determine an image signal of the value document in the image signal of the detection object; The module 4 is configured to: when the image signal in the preset area of the value document matches the image signal in the preset area of the template information, according to the position of the image sensor 1 and the reference unit Relationship between the relationship between the first sensor 2 and the reference unit to determine a positional relationship between the image sensor 1 and the first sensor 2, the template information including an image signal and a second signal; a second signal for determining that the template information is at a preset position; a fourth determining module 6 configured to determine a preset position of the detection object and a position of the image sensor 1
- the fifth determining module 7 determines a positional relationship between the preset position of the detecting object and the
- the above tube is intended to summarize the design of the present invention, and the solution of the present invention will be described below with reference to specific examples. Since the design ideas of magnetic signal detection and thickness signal detection are substantially the same in the specific implementation, the following examples only introduce the part of the magnetic signal detection. According to the principle of magnetic signal detection, the same implementation can be implemented by using the same implementation method. The thickness signal collected by the sensor is accurately positioned and detected to complete the final identification of the current value document, and the content repetition is not repeated here.
- This embodiment is a specific introduction of the value document authentication method provided by the present invention.
- a method for identifying valuable documents including:
- Step 1 Detect the current value document
- FIG. 3 is a physical shape diagram of a current value document, through which a value document to be identified (eg, a banknote) is transmitted, and a detection sensor is disposed in the transmission channel for detecting the arrival of the current value document, according to the device setting.
- the data gets the transfer speed V (inches per second) of the current value document.
- the cooperative control unit controls the closed loop conveyor operation and controls the linear velocity of the closed loop transmission to coincide with the value document transmission speed V.
- the closed-loop conveyor transfer reference unit passes through the image sensor, magnetic sensor and thickness sensor in sequence from the starting position.
- the image sensor is a reflection sensor that detects a transmitted image and a reflective sensor that detects a reflected image
- the image sensor starts to operate when the detection end sensor reaches the detection sensor at the beginning of the current value document, and the image data acquisition unit acquires the projection image and the reflection image of the reference unit and the current value document in a progressive scan manner.
- the magnetic signal acquisition unit is composed of a magnetic sensor for detecting the magnetic signal data of the reference unit and the current value document.
- the magnetic sensor starts to work, and the magnetic signal acquisition unit acquires the reference by progressive scanning. The magnetic signal data of the unit and the current value document.
- the thickness sensor starts to work, and the thickness signal obtaining unit acquires the thickness signal data of the reference unit and the current value document in a progressive scan manner.
- Step 6 Stop signal acquisition
- the elapsed time ⁇ (seconds) ends the data acquisition of the image sensor, magnetic sensor and thickness sensor.
- Figure 4 is an image of the reference unit and the current value document collected by the image sensor.
- the number of image data lines is:
- the number of image data columns is:
- the image sensor has a horizontal width of ⁇ inches, a horizontal resolution of 7 ⁇ dpi, and a vertical resolution of dpi. Since the magnetic sensor is a line scan, the magnetic signal data acquired at one time is w discrete data, where W is the number of magnetic sensor heads.
- the complete magnetic signal data of the current value document is a numerical matrix ⁇ ⁇ of M rows and N columns, as shown in (Equation 6.3). d 0 d 0 d 0 d 0 0 0 0
- the magnetic signal data acquired at one time is a discrete data, where is the number of thickness sensors.
- the complete magnetic signal data of the current value document is the value matrix %' of the ⁇ : row, as shown in (Formula 6.4).
- Step 7.1 Image Cutting The image data collected by the image sensor is used to initially identify the current value document. Because there is uncertainty in identifying the useful foreground region in the entire image, the foreground region should be cut first by boundary detection and image segmentation.
- the linear direction of the left boundary of the entire image captured by the image sensor is the y-axis
- the linear direction of the lower boundary of the entire image captured by the image sensor is the axis
- the lower left vertex of the entire image acquired by the image sensor is the coordinate origin. (ie pixel coordinate system, each point of the coordinate system represents one pixel), as shown in Figure 5.
- the four vertices of the foreground area are A, B, (and 0.
- the upper boundary line equation (that is, the straight line equation where the edge AD is located;):
- the image is cut and the cut foreground area is cut.
- the domain uses existing image rotation techniques for rotational correction.
- the line in which the left boundary of the foreground area of the current value document is located is the ordinate direction
- the lower left vertex of the foreground area of the current value document is used as the coordinate origin to establish the coordinate system y.
- Figure 6 shows.
- Step 7.2 Image Feature Template Matching Recognition
- the corresponding position of the foreground area is selected for template matching identification, as shown in FIG. 7.
- the result of image recognition is obtained by template matching, and if the image recognition fails, the current value document is exited.
- the image recognition result is RMB100, and the front is erect.
- the identification scheme has completed the image recognition of the current value document, and the recognition result is CNY100.
- M can be magnetized on the banknote (the magnetic signal fluctuates sharply).
- it is necessary to first determine the value document M. The position of the magnetic signal at the magnetic signal collected by the magnetic sensor.
- Step 8.1 Determine the physical position relationship between the image sensor and the reference unit
- Drx and Dry are length units, Drx is the distance from W to Y, and Dry is W. The distance to the X axis.
- the physical size coordinate system is established (the left end of the image sensor 13 is taken as the coordinate origin, the horizontal direction of the image sensor 13 is the horizontal coordinate direction, and the paper feed direction is the ordinate direction), as shown in FIG.
- the line number of the line_y contains the number of pixel lines:
- VTL -D is based on the vertical resolution of the image sensor as dpi, so the physical size distance between the line where the horizontal direction of the image sensor is located and the center line Line_y of the reference unit is:
- the coordinates of the reference unit center point W in the physical size coordinate system are
- the physical dimension coordinate system is established (the left vertex of the reference unit 12 is taken as the coordinate origin, the horizontal direction of the reference unit 12 is the abscissa direction, and the paper feed direction is the ordinate direction), as shown in FIG.
- the coordinates of the center point W of the reference unit 12 in the coordinate system are D,
- the physical dimension distance of the reference unit center point w to the coordinate axis of the coordinate system is
- W data Mag(D wy , D ⁇
- the positional relationship between the physical size coordinate system " ⁇ "y'' and the physical size coordinate system (i.e., the positional relationship between the magnetic sensor 14 and the reference unit 12) may be assumed to be > ⁇ ' ⁇ , that is, the left end of the reference unit 12 It is more to the left than the left end of the magnetic sensor 14, as shown in FIG.
- the physical size coordinate system " ⁇ "y" satisfies the following relationship:
- Equation 8.3 As can be seen from Equation 8.3, the positional relationship between the magnetic sensor 14 and the image sensor 13 is independent of the setting of the reference unit 12, that is, the reference unit 12 merely serves as a transition bridge for locating the position of the magnetic sensor 14 by the image sensor 13 in the identification system. The system does not create any additional errors.
- Image signal is fused with magnetic signal, and image signal is used to locate magnetic signal
- the value file is in physical size
- the position in the coordinate system is shown in Figure 12. According to the horizontal resolution of the image sensor is 7 ⁇ dpi, the vertical resolution is dpi, and the coordinates of the vertices A, B, and D in the physical size coordinate system are:
- Equation 8.4 Use the upper left vertex A (JCA , ) and the lower left vertex B (JCB , ⁇ ) of the current value document to find the left edge of the current value document in the physical size coordinate system.
- the equation of the line in y is:
- the magnetic signal data of M is located in the entire magnetic signal data matrix.
- the ⁇ column data is the magnetic signal data at M on the current value document.
- the recognition result is RMB100, the positive erecting hypothesis, detection
- This embodiment is a specific introduction of the value document discriminating device provided by the present invention.
- FIG. 13 is a value document discriminating device, including: a control unit 16: controlling the workflow of the entire device;
- Transfer System 20 See Figures 14 and 15 for specific details on the transfer system.
- At least two sensors for acquiring the machine-readable signal of the value document are mounted on the upper wall 23 of the transmission system channel, and the two ends of the two closed-loop conveyor belts 22 are fixed on the side wall 25 of the channel by the drive shaft, when the value document is in the transmission channel When transmitting, the drive shaft 21 drives the conveyor belt 22 to operate.
- the present invention preferably has the following sensor types:
- the image sensor 13 obtains image data of the input value document in a transmissive and reflective manner. It is assumed that the horizontal width of the image sensor 13 in the present embodiment is ⁇ inches, the horizontal resolution is dpi, and the vertical resolution is ⁇ dpi, as shown in FIG. 16 . Shown
- the magnetic sensor 14 is a magnetic signal data acquisition unit that acquires magnetic signal data of a value document, and assumes that the magnetic sensor 14 has w heads in the horizontal direction, and is distributed in a horizontal direction with a width of ⁇ inches, and the magnetic sensor has a vertical resolution. Is ⁇ (1 as shown in Figure 16;
- the thickness sensor 15 is a thickness data acquisition unit that acquires thickness data of the input value document, and assumes that the thickness sensor 15 has r thickness sensing heads in the horizontal direction, and is distributed in a width of ⁇ inch.
- the vertical resolution of the thickness sensor is Lt dpi, as shown in FIG. 16;
- reference unit 12 two rectangular reference units for determining the spatial position constraint relationship between different sensors, and the physical size length is D , Let the center line of the reference unit be Line_x, the center line of the vertical direction be Line_y, and the intersection point of the two lines be W, then W is the center point of the reference unit, as shown in Figure 17.
- the two ends of each reference unit 12 are respectively overlapped on two closed-loop conveyor belts, and when the conveyor belt moves, the reference unit moves together with the conveyor belt, as shown in FIGS. 14 and 15.
- the reference unit 12 has features:
- the reference unit is centered on the boundary line, the left half is black (opaque), and the right half is transparent;
- the reference unit is magnetized in a black portion
- the thickness of the reference unit in the black portion (left half) is significantly greater than the thickness of the transparent portion (right half);
- the reference unit When the value document is transmitted on the transport path, the reference unit is attached to the conveyor belt and passes through the image sensor, the magnetic sensor and the thickness sensor at the same speed; that is, each time the image sensor, the magnetic sensor and the thickness sensor collect signals And including corresponding signals of the reference unit and corresponding signals of the current value document;
- Collaborative Control Unit 21 As shown in Figure 13, the coordinated control of the closed-loop conveyor line speed and the value file transfer speed are the same, so that the reference unit's transfer speed is the same as the value file transfer speed.
- the cooperative control unit 21 also controls the reset of the reference unit, that is, each time a signal acquisition of a value document is ended, the cooperative control unit controls the closed loop conveyor to transmit the reference unit to the designated starting position, as shown in FIGS. 14 and 15. Shown.
- the starting position is between the detection sensor and the image sensor.
- the storage unit 18 stores a standard template required to identify the current value document image signal; the processor 17: identifies the image signal, the magnetic signal, and the thickness signal to complete the identification of the current value document;
- Display part 19 If the current value document (such as banknote) is recognized as a legal document (such as a genuine banknote), the currency, denomination, version, etc. will be displayed; if the current value document is identified as untrue, "Not” will be displayed. Accept!.
- a legal document such as a genuine banknote
- the value document discriminating device of the present invention further includes
- the detecting sensor 11 is arranged at the beginning of the transfer wall to detect the arrival of the value document and trigger other sensors to enter the working mode, as shown in Figs. 14 and 15;
- the processor 17 in the present invention further includes the following modules (soft modules under the processor), as shown in FIG. 18:
- the image cutting unit 31 cuts out the foreground area useful for recognition from the background area;
- the image correcting unit 32 determines whether there is tilt and offset of the foreground area, and performs image rectification using the existing rectifying technique;
- the image recognition unit 33 performs matching authentication based on the image data of the current value document and the standard template stored in the storage unit;
- Image sensor and magnetic sensor spatial position relationship modifying unit 34 correcting the image by using the distribution characteristics of the reference unit in the entire image acquired by the image sensor and the distribution characteristics of the magnetic signal of the reference unit in the entire magnetic signal collected by the magnetic sensor The spatial positional relationship between the sensor and the magnetic sensor, the real position constraint of the current position of the two sensors is obtained;
- Image information and magnetic information are different types of information descriptions collected by different types of data acquisition units for the same to-be-identified medium. Although it is not two The same type of information, but there is some correlation between the two, because the printing of the value document is very precise, that is, the image information (especially the image feature information) and the magnetic signal (especially the magnetic characteristic signal) are in the same kind.
- the physical location distribution on the price file is very stable and reliable, and the transmission speed of the current value document and the distribution position and resolution of the image sensor and the magnetic sensor are fixed. With this fixed relationship, the effective magnetic signal distribution of the current value document can be calculated based on the image information and the correspondence between the image sensor and the magnetic sensor at the physical position.
- the magnetic signal recognition unit 36 based on the multi-source information fusion described above, discriminates the magnetic signal of the current value document to obtain a magnetic signal recognition result for the current value document;
- Image sensor and thickness sensor spatial position relationship modifying unit 37 Correcting the distribution characteristics of the distribution signal in the entire image acquired by the image sensor and the thickness signal of the reference unit in the entire thickness signal collected by the thickness sensor by using the identification system reference unit The spatial positional relationship between the image sensor and the thickness sensor obtains the true position constraint of the two sensors in the current state; the image information and thickness information fusion unit 38: the image information and the thickness information are also collected by different types of data acquisition units for the same Identify different types of information descriptions for the media. Both of them also have a similar relationship between image signals and magnetic signals. Using this relationship, the effective thickness signal distribution of the current value document can be calculated based on the image information and the correspondence between the image sensor and the thickness sensor at the physical position.
- the thickness signal identifying unit 39 based on the multi-source information fusion described above, identifying the thickness signal of the current value document, and obtaining a thickness signal recognition result for the current value document;
- Result output unit 40 Outputs the final recognition result of the current value document.
- an image sensor, a magnetic sensor and a thick The degree sensor obtains the observation data of the reference unit and the current value document in time series. Because in the value document discriminating device proposed by the present invention, the transmission speed of the current value document is constant, and the spatial distribution positions of the image sensor, the magnetic sensor and the thickness sensor are constant, so the present invention first utilizes the image signal of the reference unit. The magnetic signal and the thickness signal determine the true spatial positional relationship of the image sensor, the magnetic sensor and the thickness sensor, and then use the constraint relationship between the respective sensor positions to fuse the signals acquired by the image sensor, the magnetic sensor and the thickness sensor. Identify, to obtain a description and identification of the consistency of the current value documents.
- the lower cylinder introduces the workflow between the components, step S21, inputs the value documents to be identified (such as banknotes), and the process begins;
- Step S22 image sensor processing, scanning the reference unit and the current value document, and acquiring image information of the reference unit and the current value document;
- Step S23 magnetic sensor processing, acquiring magnetic signal data of the reference structural unit and the current value document;
- Step S24 processing the thickness sensor to obtain the thickness signal data of the reference structural unit and the current value document;
- Step S25 image cutting, first determining the positional relationship of the foreground area in the entire background area, and cutting out the useful image foreground area from the background area;
- Step S26 Correcting the image, correcting the image with the tilt and the offset, and facilitating subsequent image matching and recognition;
- Step S27 Image recognition, placing a foreground area of the value document obtained by cutting the image into a coordinate system, and selecting image data of the specific position and matching the standard template data stored in the storage unit to obtain an image recognition result. If the image recognition fails, the current value document is exited; Step S28, correcting the physical position relationship between the image sensor and the magnetic sensor, and using the image signal and the magnetic signal of the reference unit to obtain displacements of the left vertex of the image sensor and the left vertex of the magnetic sensor in the horizontal direction and the vertical direction; thereby obtaining the image sensor and the magnetic sensor a true constraint relationship;
- Step S29 the image information is merged with the magnetic information, according to the current value of the file transfer speed, the image sensor and the magnetic sensor physical position constraint relationship, and according to the result of the image recognition, the position of the current valuable file effective area in the background image is utilized. (Distribution), calculate the position (distribution) of the magnetic signal valid for the current value document in the entire magnetic signal collected by the magnetic sensor.
- Step S30 magnetic signal recognition, according to the situation that the image information and the magnetic information are fused, it is determined whether the magnetic signal law of the specific position of the magnetic signal data collected by the magnetic sensor satisfies the distribution law of the magnetic signal required by the current document image recognition result. If the magnetic signal recognition fails, the current value file is exited;
- Step S31 correcting the physical position relationship between the image sensor and the thickness sensor, and determining the displacement of the left vertex of the image sensor and the left vertex of the thickness sensor in the horizontal direction and the vertical direction by using the image signal and the thickness signal of the reference unit; thereby obtaining the image sensor and the thickness sensor a true constraint relationship;
- Step S32 the image information is merged with the thickness information, according to the rule that the current value file transmission speed is constant, the physical position of the image sensor and the thickness sensor are unchanged, and according to the result of the image recognition, the current valuable file effective area is used in the background image.
- the position (distribution) calculates the position (distribution) of the thickness signal effective for the current value document in the entire thickness signal acquired by the thickness sensor.
- Step S33 the thickness signal recognition is determined according to the fusion of the image information and the thickness information. Whether the thickness signal law of the specific position of the thickness signal data collected by the fixed thickness sensor satisfies the thickness signal distribution law required by the current value document image recognition result. If the thickness signal recognition fails, the current value file is exited;
- Step S34 If the thickness recognition is successful, the identification of the current value document is completed, and the recognition result (such as currency, denomination, version, etc.) is output.
- the recognition result such as currency, denomination, version, etc.
- FIG. 1 to FIG. 18 are only preferred embodiments of the present invention, and those skilled in the art can design more embodiments based on this, and therefore are not described herein.
Landscapes
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- Finance (AREA)
- Development Economics (AREA)
- Accounting & Taxation (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Technology Law (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Primary Health Care (AREA)
- Multimedia (AREA)
- Inspection Of Paper Currency And Valuable Securities (AREA)
- Image Analysis (AREA)
Abstract
Description
Claims
Priority Applications (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
AU2013330103A AU2013330103B2 (en) | 2012-10-08 | 2013-04-02 | Valuable document authentication method and device |
EP13844647.1A EP2905754B1 (en) | 2012-10-08 | 2013-04-02 | Valuable document authentication method and device |
US14/426,969 US9406183B2 (en) | 2012-10-08 | 2013-04-02 | Valuable document authentication method and device |
ZA2015/02610A ZA201502610B (en) | 2012-10-08 | 2015-04-17 | Valuable document authentication method and device |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2012103781916A CN102890841B (zh) | 2012-10-08 | 2012-10-08 | 一种有价文件鉴别方法及装置 |
CN201210378191.6 | 2012-10-08 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2014056311A1 true WO2014056311A1 (zh) | 2014-04-17 |
Family
ID=47534332
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/CN2013/073647 WO2014056311A1 (zh) | 2012-10-08 | 2013-04-02 | 一种有价文件鉴别方法及装置 |
Country Status (7)
Country | Link |
---|---|
US (1) | US9406183B2 (zh) |
EP (1) | EP2905754B1 (zh) |
CN (1) | CN102890841B (zh) |
AU (1) | AU2013330103B2 (zh) |
CL (1) | CL2015000824A1 (zh) |
WO (1) | WO2014056311A1 (zh) |
ZA (1) | ZA201502610B (zh) |
Families Citing this family (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102722708B (zh) * | 2012-05-16 | 2015-04-15 | 广州广电运通金融电子股份有限公司 | 一种薄片类介质分类方法及其装置 |
CN102890841B (zh) | 2012-10-08 | 2013-11-27 | 广州广电运通金融电子股份有限公司 | 一种有价文件鉴别方法及装置 |
CN103456075B (zh) * | 2013-09-06 | 2015-11-25 | 广州广电运通金融电子股份有限公司 | 一种纸币处理方法及装置 |
JP2015095154A (ja) * | 2013-11-13 | 2015-05-18 | 株式会社東芝 | 紙葉類処理装置 |
CN103809137B (zh) * | 2014-02-21 | 2016-08-31 | 中国人民银行印制科学技术研究所 | 纸页检测装置和纸页检测方法 |
CN105469082B (zh) * | 2014-09-12 | 2019-02-26 | 威海新北洋荣鑫科技股份有限公司 | 金融票据处理方法和装置 |
CN105528825B (zh) | 2015-12-02 | 2018-08-31 | 广州广电运通金融电子股份有限公司 | 有价文件自适应识别方法和装置 |
CN106296970B (zh) * | 2016-08-11 | 2022-05-20 | 威海华菱光电股份有限公司 | 薄膜的检测系统与检测方法 |
DE102017001947A1 (de) * | 2017-02-28 | 2018-08-30 | Giesecke+Devrient Currency Technology Gmbh | Magnetische Prüfung von Wertdokumenten |
CN107134046B (zh) * | 2017-05-02 | 2019-08-23 | 深圳怡化电脑股份有限公司 | 一种纸币厚度异常检测方法及装置 |
CN111602178B (zh) * | 2018-01-11 | 2022-03-11 | 三菱电机株式会社 | 图像读取装置 |
CN111476937B (zh) * | 2020-04-18 | 2021-11-16 | 武汉卓目科技有限公司 | 金融机具二维信号辅助一维信号鉴伪的方法及装置 |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030021459A1 (en) * | 2000-05-24 | 2003-01-30 | Armando Neri | Controlling banknotes |
CN101520912A (zh) * | 2008-02-29 | 2009-09-02 | 富士通先端科技株式会社 | 纸张种类鉴别装置及纸张种类鉴别方法 |
CN101925931A (zh) * | 2008-01-25 | 2010-12-22 | 光荣株式会社 | 纸张类识别装置 |
CN102890841A (zh) * | 2012-10-08 | 2013-01-23 | 广州广电运通金融电子股份有限公司 | 一种有价文件鉴别方法及装置 |
Family Cites Families (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5790693A (en) * | 1990-02-05 | 1998-08-04 | Cummins-Allison Corp. | Currency discriminator and authenticator |
JP4450966B2 (ja) * | 2000-10-03 | 2010-04-14 | 富士通株式会社 | 紙葉類鑑別装置 |
WO2011086665A1 (ja) * | 2010-01-12 | 2011-07-21 | グローリー株式会社 | 紙葉類識別装置および紙葉類識別方法 |
CN101916470B (zh) * | 2010-08-03 | 2013-04-24 | 广州广电运通金融电子股份有限公司 | 纸质有价文件识别方法及其识别系统 |
CN101908241B (zh) * | 2010-08-03 | 2012-05-16 | 广州广电运通金融电子股份有限公司 | 有价文件识别方法及其识别系统 |
CN102289857B (zh) * | 2011-05-19 | 2013-09-25 | 广州广电运通金融电子股份有限公司 | 有价文件识别方法及系统 |
CN102592352B (zh) * | 2012-02-28 | 2014-02-12 | 广州广电运通金融电子股份有限公司 | 纸页类介质识别装置及识别方法 |
CN103035061B (zh) * | 2012-09-29 | 2014-12-31 | 广州广电运通金融电子股份有限公司 | 有价文件防伪特征生成方法及其鉴别方法和装置 |
-
2012
- 2012-10-08 CN CN2012103781916A patent/CN102890841B/zh active Active
-
2013
- 2013-04-02 US US14/426,969 patent/US9406183B2/en not_active Expired - Fee Related
- 2013-04-02 EP EP13844647.1A patent/EP2905754B1/en active Active
- 2013-04-02 AU AU2013330103A patent/AU2013330103B2/en not_active Ceased
- 2013-04-02 WO PCT/CN2013/073647 patent/WO2014056311A1/zh active Application Filing
-
2015
- 2015-04-01 CL CL2015000824A patent/CL2015000824A1/es unknown
- 2015-04-17 ZA ZA2015/02610A patent/ZA201502610B/en unknown
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030021459A1 (en) * | 2000-05-24 | 2003-01-30 | Armando Neri | Controlling banknotes |
CN101925931A (zh) * | 2008-01-25 | 2010-12-22 | 光荣株式会社 | 纸张类识别装置 |
CN101520912A (zh) * | 2008-02-29 | 2009-09-02 | 富士通先端科技株式会社 | 纸张种类鉴别装置及纸张种类鉴别方法 |
CN102890841A (zh) * | 2012-10-08 | 2013-01-23 | 广州广电运通金融电子股份有限公司 | 一种有价文件鉴别方法及装置 |
Also Published As
Publication number | Publication date |
---|---|
US20150220936A1 (en) | 2015-08-06 |
CN102890841B (zh) | 2013-11-27 |
AU2013330103B2 (en) | 2016-05-19 |
ZA201502610B (en) | 2016-01-27 |
AU2013330103A1 (en) | 2015-03-26 |
US9406183B2 (en) | 2016-08-02 |
CL2015000824A1 (es) | 2015-06-12 |
EP2905754A1 (en) | 2015-08-12 |
EP2905754A4 (en) | 2015-10-07 |
CN102890841A (zh) | 2013-01-23 |
EP2905754B1 (en) | 2020-08-05 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
WO2014056311A1 (zh) | 一种有价文件鉴别方法及装置 | |
RU2527203C2 (ru) | Устройство обработки бумажных листов и способ обработки бумажных листов | |
US9307206B2 (en) | Automatic image capture | |
JP5616958B2 (ja) | 紙幣検出器デバイスのための方法、および紙幣検出器デバイス | |
US20050169511A1 (en) | Document processing system using primary and secondary pictorial image comparison | |
US20120150745A1 (en) | Document imaging and processing system | |
CN102324134A (zh) | 有价文件鉴别方法及其鉴别装置 | |
US20100246928A1 (en) | Banknote recognition apparatus and banknote recognition method | |
JP2008524683A (ja) | シート物受入装置 | |
WO2004081887A1 (ja) | 紙葉類識別方法及び紙葉類識別装置 | |
KR20030025187A (ko) | 지엽류 계수장치 및 거래 처리장치 | |
KR101112445B1 (ko) | 수표 인식 장치 및 방법 | |
JP4450966B2 (ja) | 紙葉類鑑別装置 | |
KR20120117049A (ko) | 휴대용 단말기에서 위조 지폐 감별 방법 및 장치 | |
CN105096446A (zh) | 一种折角钞光变油墨鉴伪识别的方法及系统 | |
JP6582548B2 (ja) | 記番号認識装置、媒体鑑別装置、自動取引装置、記番号管理装置、記番号管理システム、及び記番号管理プログラム | |
JP5953553B2 (ja) | ディスク判別方法、ディスク判別装置およびディスク選別装置 | |
JP5953614B2 (ja) | ディスク判別方法、ディスク判別装置およびディスク選別装置 | |
JP3064739B2 (ja) | 画像処理装置 | |
KR20210081488A (ko) | 수표인식장치 | |
JPH07311867A (ja) | 紙葉類認識装置 | |
JP5216301B2 (ja) | 媒体識別装置 | |
KR20090073681A (ko) | 자기잉크문자인식장치 및 그 방법 | |
JP2005316727A (ja) | 紙葉類識別装置および方法 | |
TWM474980U (zh) | 整鈔機系統 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 13844647 Country of ref document: EP Kind code of ref document: A1 |
|
WWE | Wipo information: entry into national phase |
Ref document number: 14426969 Country of ref document: US |
|
ENP | Entry into the national phase |
Ref document number: 2013330103 Country of ref document: AU Date of ref document: 20130402 Kind code of ref document: A |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2013844647 Country of ref document: EP |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2015000824 Country of ref document: CL |
|
NENP | Non-entry into the national phase |
Ref country code: DE |