WO2019001191A1 - Procédé et dispositif de détection de billet de banque collé - Google Patents

Procédé et dispositif de détection de billet de banque collé Download PDF

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Publication number
WO2019001191A1
WO2019001191A1 PCT/CN2018/088572 CN2018088572W WO2019001191A1 WO 2019001191 A1 WO2019001191 A1 WO 2019001191A1 CN 2018088572 W CN2018088572 W CN 2018088572W WO 2019001191 A1 WO2019001191 A1 WO 2019001191A1
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WO
WIPO (PCT)
Prior art keywords
projection
ticket
curve
grayscale
spliced
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PCT/CN2018/088572
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English (en)
Chinese (zh)
Inventor
赵政
雷刚
陈春光
王荣秋
余元超
Original Assignee
广州广电运通金融电子股份有限公司
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Application filed by 广州广电运通金融电子股份有限公司 filed Critical 广州广电运通金融电子股份有限公司
Publication of WO2019001191A1 publication Critical patent/WO2019001191A1/fr

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    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
    • G07D7/20—Testing patterns thereon
    • G07D7/2008—Testing patterns thereon using pre-processing, e.g. de-blurring, averaging, normalisation or rotation
    • 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
    • G07D7/2016—Testing patterns thereon using feature extraction, e.g. segmentation, edge detection or Hough-transformation

Definitions

  • the invention relates to the field of splicing bill detection technology, in particular to a splicing bill detecting method and a splicing bill detecting device.
  • spliced banknotes in the banknotes circulating in the market, mainly including the splicing banknotes of genuine banknotes splicing genuine banknotes, the splicing banknotes of counterfeit banknotes splicing genuine banknotes, and the splicing banknotes of counterfeit banknotes and counterfeit banknotes.
  • the difficulty of identification especially for the splicing of banknotes of genuine banknotes.
  • the existing method for detecting the spliced bill is mainly to binarize all the pixels of the scanned image of the ticket, and then perform a hough transform (hough transform) to detect an abnormal linear signal of the straight line at the splicing in the hough space.
  • hough transform hough transform
  • the time complexity of the hough transform algorithm is extremely high, and the binarized noise point affects the parameters of the hough space, especially when the points of the two spaces of the hough transform are not one-to-one correspondence, the hough transform needs to be performed.
  • the post-data is mapped into the graphics data, thus increasing the complexity of the algorithm, thereby reducing the detection efficiency of the spliced ticket.
  • the object of the present invention is to provide a method for detecting a spliced bill and a splicing bill detecting device, which can solve the technical problem that the detecting method of the spliced bill has low detection efficiency due to high complexity.
  • the present invention provides a method for detecting a spliced ticket, including:
  • the projection result of the gray projection curve is greater than a projection result threshold of the gray projection curve of the preset normal ticket, determining that the ticket is a spliced ticket; wherein the gradation projection curve includes the horizontal gray projection Curve and vertical grayscale projection curves.
  • determining that the ticket is a splicing ticket is specifically:
  • the projection result of the horizontal grayscale projection curve is greater than a projection result threshold of the horizontal grayscale projection curve of the preset normal ticket
  • the projection result of the vertical grayscale projection curve is greater than the vertical grayscale projection of the preset normal ticket
  • determining that the ticket is a splicing ticket specifically includes:
  • the maximum projection height of the grayscale projection curve is greater than a maximum projection height threshold of the grayscale projection curve of the preset normal ticket, or the projection area of the grayscale projection curve is greater than a grayscale projection curve of the preset normal ticket
  • the area threshold is projected, the ticket is judged to be a spliced ticket.
  • determining that the ticket is a spliced ticket further includes:
  • a projection result of the gradation projection curve after the projection value of the projection point whose projection value is less than 0 is set to 0 is obtained.
  • the area to be detected is a rectangular area on the ticket.
  • the present invention also provides a method for detecting a spliced ticket, comprising:
  • An image acquiring module to be detected configured to acquire an image of the area to be detected of the ticket
  • a first edge detection and enhancement processing module configured to perform edge detection and enhancement processing on the image to be detected by using a horizontal Sobel operator to obtain a first image
  • a second edge detection and enhancement processing module configured to perform edge detection and enhancement processing on the image to be detected by using a vertical Sobel operator to obtain a second image
  • a horizontal grayscale projection curve acquiring module configured to perform a projection process on the first image to obtain a horizontal grayscale projection curve
  • a longitudinal grayscale projection curve acquiring module configured to perform a projection process on the second image to obtain a vertical grayscale projection curve
  • a splicing ticket judging module configured to determine that the ticket is a spliced bill when a projection result of the gradation projection curve is greater than a projection result threshold of a gradation projection curve of a preset normal ticket; wherein the gradation projection curve
  • the horizontal grayscale projection curve and the vertical grayscale projection curve are included.
  • the spliced ticket judging module is specifically configured to:
  • the projection result of the horizontal grayscale projection curve is greater than a projection result threshold of the horizontal grayscale projection curve of the preset normal ticket
  • the projection result of the vertical grayscale projection curve is greater than the vertical grayscale projection of the preset normal ticket
  • the splicing ticket judging module specifically includes:
  • a projection result obtaining unit configured to acquire a maximum projection height or/and a projected area of the grayscale projection curve
  • a splicing ticket judging unit configured to: when a maximum projection height of the gradation projection curve is greater than a maximum projection height threshold of a gray projection curve of the preset normal ticket, or a projection area of the gradation projection curve is greater than a preset normal When the projected area threshold of the gray scale projection curve of the ticket is determined, the ticket is judged to be a spliced ticket.
  • the detecting device for the spliced ticket further comprises:
  • a noise interference processing module configured to eliminate noise interference of the grayscale projection curve by using an equalization processing method
  • a projection point processing module configured to obtain a projection value of each projection point on the grayscale projection curve after noise interference cancellation, and set a projection value of the projection point whose projection value is less than 0 to 0;
  • a projection result obtaining module configured to acquire a projection result of the gradation projection curve after the projection value of the projection point whose projection value is less than 0 is set to 0.
  • the area to be detected is a rectangular area on the ticket.
  • the invention provides a method for detecting a spliced ticket, which uses an edge Sobel operator and a vertical Sobel operator to perform edge detection and enhancement processing on a region to be detected to obtain a first image and a second image, and to obtain a first image and a second image.
  • the image is subjected to projection processing to obtain a horizontal grayscale projection curve and a vertical grayscale projection curve, and it is determined whether the ticket is a spliced ticket by judging whether the projection result of the horizontal grayscale projection curve and the vertical grayscale projection curve meets the requirements of the normal ticket.
  • the detection method of the spliced ticket can accurately detect the spliced ticket, and does not need to perform binarization processing and hough transform processing on the ticket image, thereby reducing the detection complexity of the spliced ticket, thereby improving the detection efficiency of the spliced ticket.
  • the detecting method of the spliced bill can not only detect the linear splicing bill but also the curve splicing bill, the detecting method of the splicing bill can detect the splicing bill having different splicing shapes of the splicing seam, thereby A wider range of applications.
  • FIG. 1 is a flowchart of a method for detecting a spliced ticket in an embodiment of the present invention
  • FIG. 2 is a schematic structural view of a horizontal splicing ticket in an embodiment of the present invention
  • FIG. 3 is a schematic structural view of a longitudinal splicing bill in an embodiment of the present invention.
  • FIG. 5 is a schematic structural view of a spliced spliced bill in an embodiment of the present invention.
  • FIG. 6 is a horizontal grayscale projection curve of a notched stitching bill in an embodiment of the present invention.
  • FIG. 8 is a flowchart of step S16 in the embodiment of the present invention.
  • FIG. 9 is a structural block diagram of a device for detecting a spliced ticket in an embodiment of the present invention.
  • FIG. 10 is a structural block diagram of a spliced ticket judging module in an embodiment of the present invention.
  • FIG. 1 it is a flowchart of a method for detecting a spliced ticket provided by an embodiment of the present invention, including:
  • the edge detection and enhancement processing are performed on the detection area image by using the horizontal Sobel operator and the vertical Sobel operator to obtain the first image and the second image, and the first image and the second image are subjected to projection processing.
  • To obtain a horizontal grayscale projection curve and a vertical grayscale projection curve by determining whether the projection result of the horizontal grayscale projection curve and the vertical grayscale projection curve meets the requirements of the normal ticket, to identify whether the ticket is a spliced ticket.
  • the detection method of the spliced ticket can accurately detect the spliced ticket, and does not need to perform binarization processing and hough transform processing on the ticket image, thereby reducing the detection complexity of the spliced ticket, thereby improving the detection efficiency of the spliced ticket.
  • the detecting method of the spliced bill can not only detect the linear splicing bill but also the curve splicing bill, the detecting method of the splicing bill can detect the splicing bill having different splicing shapes of the splicing seam, thereby A wider range of applications.
  • the projection result of the horizontal grayscale projection curve is greater than a projection result threshold of the horizontal grayscale projection curve of the preset normal ticket
  • the projection result of the vertical grayscale projection curve is greater than the vertical grayscale projection of the preset normal ticket
  • the ticket when the ticket is a horizontal splicing ticket, since the projection result of the horizontal gradation projection curve is greater than a projection result threshold of the horizontal gradation projection curve of the preset normal ticket, the ticket can be judged.
  • the ticket For splicing the ticket; and, since the projection result of the vertical grayscale projection curve is less than or equal to the projection result threshold of the vertical grayscale projection curve of the preset normal ticket, the ticket may be further determined to be a horizontal splicing ticket.
  • the ticket when the ticket is a longitudinal splicing ticket, since the projection result of the vertical gradation projection curve is greater than the projection result threshold of the gradation projection curve of the first direction of the preset normal ticket, The ticket may be judged to be a spliced ticket; and, since the projection result of the horizontal gradation projection curve is less than or equal to a projection result threshold of a horizontal gradation projection curve of the preset normal ticket, the ticket may be further determined to be a portrait Splicing notes.
  • the ticket when the ticket is a spliced splicing ticket, since the projection result of the horizontal gradation projection curve is greater than the projection result threshold of the horizontal gradation projection curve of the preset normal ticket, Determining that the ticket is a spliced ticket; and, since the projection result of the vertical grayscale projection curve is greater than a projection result threshold of the vertical grayscale projection curve of the preset normal ticket, the ticket may be further determined to be a spliced splicing ticket .
  • the step S16 specifically includes:
  • the maximum projection height of the grayscale projection curve is greater than a maximum projection height threshold of a grayscale projection curve of a preset normal ticket or whether the projected area of the grayscale projection curve is greater than a pre-predetermined
  • the projected area of the gray scale projection curve of the normal ticket is set to accurately determine whether the ticket is a spliced ticket.
  • the method further includes:
  • a projection result of the gradation projection curve after the projection value of the projection point whose projection value is less than 0 is set to 0 is obtained.
  • the area to be detected in this embodiment is a rectangular area on the ticket.
  • the area of the to-be-detected area on the ticket may also be other shapes, and only needs to satisfy the accuracy of improving the grayscale projection curve. More details.
  • the present invention also provides a detecting device for a spliced bill.
  • FIG. 9 it is a structural block diagram of a device for detecting a spliced ticket according to an embodiment of the present invention, which includes:
  • the to-be-detected area image obtaining module 11 is configured to acquire an image of the to-be-detected area of the ticket;
  • a first edge detection and enhancement processing module 12 configured to perform edge detection and enhancement processing on the image to be detected by using a horizontal Sobel operator to obtain a first image
  • a second edge detection and enhancement processing module 13 configured to perform edge detection and enhancement processing on the image to be detected by using a vertical Sobel operator to obtain a second image
  • a horizontal grayscale projection curve obtaining module 14 is configured to perform a projection process on the first image to obtain a horizontal grayscale projection curve
  • a longitudinal grayscale projection curve acquiring module 15 configured to perform a projection process on the second image to obtain a vertical grayscale projection curve
  • the splicing ticket judging module 16 is configured to: when the projection result of the gradation projection curve is greater than a projection result threshold of the gradation projection curve of the preset normal ticket, determine that the ticket is a spliced ticket; wherein the gradation projection The curve includes the horizontal gray scale projection curve and the vertical gray scale projection curve.
  • edge detection and enhancement processing are performed on the image to be detected by the first edge detection and enhancement processing module 12 and the second edge detection and enhancement processing module 13 to obtain a first image and a
  • the horizontal grayscale projection curve acquiring module 14 and the vertical grayscale projection curve acquiring module 15 perform projection processing on the first image and the second image to obtain a horizontal grayscale projection curve and a vertical grayscale projection.
  • the curve is further determined by the splicing ticket judging module 16 whether the projection result of the horizontal gradation projection curve and the vertical gradation projection curve meets the requirements of the normal ticket to identify whether the ticket is a spliced ticket.
  • the detection method of the spliced ticket can accurately detect the spliced ticket, and does not need to perform binarization processing and hough transform processing on the ticket image, thereby reducing the detection complexity of the spliced ticket, thereby improving the detection efficiency of the spliced ticket.
  • the detecting method of the spliced bill can not only detect the linear splicing bill but also the curve splicing bill, the detecting method of the splicing bill can detect the splicing bill having different splicing shapes of the splicing seam, thereby A wider range of applications.
  • the spliced ticket determination module 16 in this embodiment is specifically configured to:
  • the projection result of the horizontal grayscale projection curve is greater than a projection result threshold of the horizontal grayscale projection curve of the preset normal ticket
  • the projection result of the vertical grayscale projection curve is greater than the vertical grayscale projection of the preset normal ticket
  • the splicing ticket judging module 16 determines whether the projection result of the horizontal gradation projection curve is greater than a projection result threshold of the horizontal gradation projection curve of the preset normal ticket and determines the vertical gradation. Whether the projection result of the projection curve is greater than a projection result threshold of the vertical grayscale projection curve of the preset normal ticket, thereby determining whether the ticket is a spliced ticket, and further determining the spliced ticket when determining that the ticket is a spliced ticket For horizontal splicing of bills, longitudinal splicing of bills or splicing of bills.
  • the ticket when the ticket is a horizontal splicing ticket, since the projection result of the horizontal gradation projection curve is greater than a projection result threshold of the horizontal gradation projection curve of the preset normal ticket, the ticket can be judged.
  • the ticket For splicing the ticket; and, since the projection result of the vertical grayscale projection curve is less than or equal to the projection result threshold of the vertical grayscale projection curve of the preset normal ticket, the ticket may be further determined to be a horizontal splicing ticket.
  • the ticket when the ticket is a longitudinal splicing ticket, since the projection result of the vertical gradation projection curve is greater than the projection result threshold of the gradation projection curve of the first direction of the preset normal ticket, The ticket may be judged to be a spliced ticket; and, since the projection result of the horizontal gradation projection curve is less than or equal to a projection result threshold of a horizontal gradation projection curve of the preset normal ticket, the ticket may be further determined to be a portrait Splicing notes.
  • the ticket when the ticket is a spliced splicing ticket, since the projection result of the horizontal gradation projection curve is greater than the projection result threshold of the horizontal gradation projection curve of the preset normal ticket, Determining that the ticket is a spliced ticket; and, since the projection result of the vertical grayscale projection curve is greater than a projection result threshold of the vertical grayscale projection curve of the preset normal ticket, the ticket may be further determined to be a spliced splicing ticket .
  • the splicing ticket judging module 16 in this embodiment specifically includes:
  • a projection result obtaining unit 161 configured to acquire a maximum projection height or/and a projected area of the grayscale projection curve
  • the splicing ticket judging unit 162 is configured to: when a maximum projection height of the gradation projection curve is greater than a maximum projection height threshold of a gray projection curve of the preset normal ticket, or a projection area of the gradation projection curve is greater than a preset When the projected area threshold of the gray scale projection curve of the normal ticket is determined, the ticket is judged to be a spliced ticket.
  • the projection result obtaining unit 161 acquires the maximum projection height and the projected area of the gradation projection curve, and determines the maximum projection height of the gradation projection curve by the splicing ticket determination unit 162. Whether it is greater than a maximum projection height threshold of the grayscale projection curve of the preset normal ticket or determining whether the projection area of the grayscale projection curve is larger than a projected area of the grayscale projection curve of the preset normal ticket, thereby accurately determining the ticket Whether it is a splicing ticket.
  • the detecting device for the spliced ticket in order to eliminate the noise interference of the grayscale projection curve, to more accurately determine whether the projection result of the grayscale projection curve meets the requirements of the normal ticket, preferably, the detecting device for the spliced ticket further include:
  • a noise interference processing module configured to eliminate noise interference of the grayscale projection curve by using an equalization processing method
  • a projection point processing module configured to obtain a projection value of each projection point on the grayscale projection curve after noise interference cancellation, and set a projection value of the projection point whose projection value is less than 0 to 0;
  • a projection result obtaining module configured to acquire a projection result of the gradation projection curve after the projection value of the projection point whose projection value is less than 0 is set to 0.
  • the gray-scale projection curve is averaged and denoised by the noise interference processing module to remove noise interference of the gray-scale projection curve, thereby ensuring accurate determination of the gray-scale projection curve. Whether the projection result meets the requirements of the normal ticket, and further accurately determines whether the ticket is a spliced ticket.
  • the area to be detected in this embodiment is a rectangular area on the ticket.
  • the area of the to-be-detected area on the ticket may also be other shapes, and only needs to satisfy the accuracy of improving the grayscale projection curve. More details.
  • the present invention provides a method for detecting a spliced ticket and a splicing ticket detecting device.
  • the splicing ticket detecting method uses a horizontal Sobel operator and a vertical Sobel operator to perform edge detection and enhancement processing on the image to be detected to obtain the first And the second image and the second image are subjected to projection processing to obtain a horizontal gray projection curve and a vertical gray projection curve, and whether the projection result of the horizontal gray projection curve and the vertical gray projection curve is determined Meet the requirements of the normal ticket to identify whether the ticket is a spliced ticket.
  • the detection method of the spliced ticket can accurately detect the spliced ticket, and does not need to perform binarization processing and hough transform processing on the ticket image, thereby reducing the detection complexity of the spliced ticket, thereby improving the detection efficiency of the spliced ticket.
  • the detecting method of the spliced bill can not only detect the linear splicing bill but also the curve splicing bill, the detecting method of the splicing bill can detect the splicing bill having different splicing shapes of the splicing seam, thereby A wider range of applications.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Image Analysis (AREA)
  • Inspection Of Paper Currency And Valuable Securities (AREA)

Abstract

L'invention concerne un procédé et un dispositif de détection d'un billet de banque collé. Une détection de contours et un traitement d'enrichissement sont appliqués, à l'aide d'un opérateur Sobel horizontal et d'un opérateur Sobel vertical, à une image d'une zone à détecter, pour obtenir une première image et une seconde image; un traitement de projection est appliqué à la première image et à la seconde image pour obtenir une courbe projetée à échelle de gris horizontale et une courbe projetée à échelle de gris verticale; le fait que le résultat de projection de la courbe projetée à échelle de gris horizontale et de la courbe projetée à échelle de gris verticale satisfasse, ou non, une exigence d'un billet de banque normal, est déterminé, de façon à identifier si un billet de banque est un billet de banque collé. L'invention permet de détecter avec précision des billets de banque collés et élimine le besoin d'appliquer un traitement de binarisation et un traitement de transformée de Hough à une image de billet de banque, de réduire la complexité de détection de billets de banque collés, et d'améliorer l'efficacité de détection.
PCT/CN2018/088572 2017-06-26 2018-05-27 Procédé et dispositif de détection de billet de banque collé WO2019001191A1 (fr)

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CN201710499206.7 2017-06-26
CN201710499206.7A CN107481393B (zh) 2017-06-26 2017-06-26 一种拼接票据的检测方法及拼接票据的检测装置

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EP3751308A1 (fr) 2019-06-12 2020-12-16 Deutsches Zentrum für Luft- und Raumfahrt e.V. Procédé de détermination de la distance entre deux objets, en particulier deux satellites
DE102020115460B3 (de) 2020-06-10 2021-11-04 Deutsches Zentrum für Luft- und Raumfahrt e.V. Verfahren zur Ermittlung der Zeitdifferenz zwischen dem Aussendezeitpunkt eines optischen Signals durch ein Objekt und dem Empfangszeitpunkt des optischen Signals durch ein anderes Objekt

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CN108764171A (zh) * 2018-05-31 2018-11-06 四川斐讯信息技术有限公司 一种拼接图像的识别方法及系统
CN111599080B (zh) * 2019-02-20 2022-04-12 深圳怡化电脑股份有限公司 拼接纸币的检测方法、装置、金融机具设备及存储介质
CN110400285B (zh) * 2019-05-30 2021-09-28 哈尔滨工业大学（深圳） 引线键合焊点缺陷定位与分类方法

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3751308A1 (fr) 2019-06-12 2020-12-16 Deutsches Zentrum für Luft- und Raumfahrt e.V. Procédé de détermination de la distance entre deux objets, en particulier deux satellites
DE102020115460B3 (de) 2020-06-10 2021-11-04 Deutsches Zentrum für Luft- und Raumfahrt e.V. Verfahren zur Ermittlung der Zeitdifferenz zwischen dem Aussendezeitpunkt eines optischen Signals durch ein Objekt und dem Empfangszeitpunkt des optischen Signals durch ein anderes Objekt

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