WO2017016448A1 - 一种qr码特征检测方法及*** - Google Patents
一种qr码特征检测方法及*** Download PDFInfo
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- WO2017016448A1 WO2017016448A1 PCT/CN2016/091006 CN2016091006W WO2017016448A1 WO 2017016448 A1 WO2017016448 A1 WO 2017016448A1 CN 2016091006 W CN2016091006 W CN 2016091006W WO 2017016448 A1 WO2017016448 A1 WO 2017016448A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
- G06K7/1404—Methods for optical code recognition
- G06K7/1408—Methods for optical code recognition the method being specifically adapted for the type of code
- G06K7/1417—2D bar codes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/12—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using a selected wavelength, e.g. to sense red marks and ignore blue marks
Definitions
- the present invention relates to the field of two-dimensional code identification, and in particular, to a QR code feature detection method and system.
- Two-dimensional code feature detection is the most important first step in the processing of two-dimensional code data. Once the detection fails, the processing cannot be continued.
- the amount of two-dimensional code data is generally large, and it is possible to quickly detect the characteristics of the two-dimensional code. Affecting the use performance, the rapid and accurate detection of the two-dimensional code features has become an important requirement for the processing of two-dimensional code data.
- the QR code is a type of two-dimensional code, and there are three position detection patterns of the QR code, which are respectively located at the upper left corner, the upper right corner, and the lower left corner of the QR code.
- Each position detection pattern can be thought of as consisting of three overlapping concentric squares, which are 7*7 dark blocks, 5*5 light blocks, and 3*3 dark blocks. Therefore, the black and white length ratio of the line segment passing through the position detection pattern center block satisfies 1:1:3:1:1.
- the Chinese invention patent of CN104517090A discloses a method and system for detecting a QR code detection pattern. The steps are as follows: detecting the QR code along the first direction, detecting black: white: black: white: black The length ratio of the first line segment satisfying the preset ratio, determining the center point of the first line segment; detecting the straight line passing through the center point of the first line segment along the second direction, obtaining black: white: black : White: The black length ratio satisfies the preset second line segment, and the center point of the second line segment is the center point of the detection pattern.
- the detection of the detection pattern of the QR code image can only find its center point, and the boundary line of the detection image of the complete QR code cannot be found. Especially for the case where the QR code is deformed and twisted, the boundary of the detected pattern cannot be accurately determined.
- the technical problem to be solved by the present invention is to provide a QR code feature detecting method and system for improving the detection speed and reducing the amount of data calculation.
- a QR code feature detecting method the method is:
- a preset line number threshold dividing the received QR code image into a plurality of lines of images having the same number of lines as the line number threshold
- the black and white demarcation points are connected to form a position detection pattern of the QR code.
- the beneficial effects of the present invention are: processing the line data of the QR code, detecting the multi-line image of the received QR code image, processing the column data of the QR code, processing the middle column data of the rectangular image , reducing the amount of data calculation, improving the detection efficiency; initially finding the position of the position detection pattern of the QR code on the received QR image by using the line data and the preset proportional similarity in the line proportional threshold, by searching for the rectangle
- a column line segment matching the preset scale on the middle column of the image is used to determine the position of the position detection pattern of the QR code on the received QR image, by panning a diagonal line of the square image and finding a black and white boundary point of the square image edge to determine
- the position of the QR code detects the boundary line of the graphic. It is not affected by image distortion, torsion, and light. It can quickly and accurately find the area of the QR code position detection pattern.
- a QR code feature detection system comprising:
- a dividing module configured to divide the received QR code image into rows having the same pixel point as the line number threshold a number of lines of images
- a calculation module configured to calculate an average gray value of each column of the plurality of lines of pixels to form row data
- a first binarization module configured to binarize the row data
- a statistics module configured to calculate a ratio of consecutive 1 and consecutive 0 in the row data after binarization to form a line ratio
- an extraction module configured to extract a rectangular image corresponding to a row ratio of the similarity of the preset ratio in the row proportional threshold
- a second binarization module that binarizes a rectangular image and a region range of the rectangular image up and down extending width thresholds
- a first searching module configured to search for a column line segment that meets a preset ratio on a middle column of the extracted rectangular image
- a panning module configured to translate a diagonal line of the square image including the rectangular image and the column line segment in two directions of upward and downward directions;
- a second searching module configured to find the square image edge black and white boundary point on the diagonal of the translation
- a recording module configured to record black and white boundary of the square image edge on the diagonal of the translation Point
- a component module configured to connect the black and white boundary points to form a position detection pattern of the QR code.
- the beneficial effects of the present invention are: dividing the received QR code image into at least one multi-line image having the same number of lines as the pixel of the preset line number threshold, and then passing the multi-line image Perform binarization, statistical line ratio, comparison of line scale and preset ratio similarity, record rectangular image with similarity to the requirement, compare the middle column of the rectangular image with the preset ratio, and then search for the square image through the diagonal
- the black and white boundary point of the edge determines the position detection pattern of the received QR code image, and simultaneously processes the data of the multi-line image.
- the processing of the column data is only one line, and the position of the boundary line of the position detection pattern can be determined without being deformed by the image.
- the effects of torsion and lighting can effectively reduce the amount of data calculation in the system and improve the efficiency and accuracy of system testing.
- DRAWINGS 1 is a flowchart of a QR code feature detecting method according to Embodiment 1 of the present invention
- FIG. 2 is a partial image of a QR code including a position detection pattern according to Embodiment 1 of the present invention
- FIG. 3 is a schematic diagram of dividing a plurality of lines of images in FIG. 2 according to Embodiment 1 of the present invention
- FIG. 4 is a schematic diagram of a multi-line image divided in FIG. 2 according to Embodiment 1 of the present invention.
- FIG. 5 is a schematic diagram of a middle column of a rectangular pattern in a multi-line image according to Embodiment 1 of the present invention.
- FIG. 6 is a schematic diagram of a square image and a diagonal line thereof according to Embodiment 1 of the present invention. detailed description
- the most critical idea of the present invention is to: simultaneously perform data on data of a plurality of lines of images of the received QR code image, reduce the amount of data calculation, and improve detection efficiency.
- a specific embodiment of the invention is:
- QR code feature detection method where the method is:
- a preset line number threshold dividing the received QR code image into a plurality of lines of images having the same number of lines as the line number threshold
- the line number threshold is greater than 1 and less than or equal to the number of pixel points corresponding to the position detection pattern of the QR code.
- the threshold of the number of rows is greater than 1, the image of two or more rows can be processed at one time, and the detection efficiency is improved; the number of rows of pixels corresponding to the position detection pattern of the threshold of the QR code is less than or equal to the QR code. It can effectively ensure that the image of the position detection pattern can be accurately found in the multi-line image processed, and the detection accuracy is improved.
- row data is binarized, specifically:
- calculating the gray threshold of the line data by the maximum inter-class variance method can reduce the probability of foreground color and background color misclassification, and improve the accuracy of line data binarization.
- the rectangular image and the rectangular image are binarized in the range of the width and threshold values of the extended width thresholds, specifically:
- the data in the area range is binarized according to the gray threshold value, which facilitates processing of subsequent data, and is advantageous for maintaining consistency of image binarization processing, and improving The accuracy of the value.
- a preset line proportional threshold comparing whether the similarity between the suspected line ratio and the preset ratio is within a line proportional threshold
- the ratio of the suspected lines having the same starting data binarization value and the same number of data in the line proportion of the plurality of lines of images is first searched, and then the proportion of the suspected lines and the preset ratio are compared. Whether the similarity is in the range of the proportional threshold, and finally extracting the rectangular image corresponding to the proportion of the line satisfying the above conditions, A part of the position detection pattern in which the rectangular image is a QR code, the width of the rectangular image is the width of the position detection pattern of the QR code, and the data processing process is reasonable, and the position of the column of the position detection pattern can be quickly found.
- comparing whether the similarity between the suspected line ratio and the preset ratio is within a proportional threshold specifically:
- the sum of the width threshold of 2 times and the preset line number threshold is greater than the side length of the QR code position detection pattern.
- the sum of the width threshold and the preset line number threshold is greater than the side length of the QR code position detection pattern, and the width of the area range is greater than the edge of the QR code position detection pattern. Long, effective to ensure fast, accurate and comprehensive search for position detection graphics.
- the column line segment corresponding to the preset ratio on the middle column of the rectangular image is found to find the position of the column of the position detection pattern of the QR code, the amount of data processing information is small, and the detection rate is fast.
- a diagonal line including the rectangular image and the square image of the column line segment is translated in two directions of upward and downward directions respectively; searching for and recording the square on the diagonal of the translation.
- the coordinates of the recorded white point and black point are the black and white boundary points of the edge of the position detection pattern.
- a square image can be formed according to the column position where the width of the rectangular image is located and the row position where the end point of the column line segment is located, and the diagonal direction of the direction image is moved up and down to find the moved image.
- the black and white boundary point of the edge of the corresponding detection position on the diagonal line is used to determine the boundary line of the position detection pattern of the QR code, which is not affected by the image deformation, torsion, and light, and the data accuracy is high.
- the first embodiment of the present invention is:
- a QR code feature detecting method the method is:
- the preset line number threshold is 10, and the received QR code image is divided into multiple lines of images having the same number of lines as the line number threshold; see FIG. 2
- an image of a position detection pattern is included, wherein the pixel points are 28 lines in total
- FIG. 3 is a division diagram of the position detection pattern in FIG. 2 divided into 10 lines of pixel point data
- FIG. 4 is divided into A multi-line image containing 10 rows of pixel data:
- a preset line proportional threshold and extracting a rectangular image corresponding to a line ratio of the similarity of the preset ratio to the preset ratio in the line proportional threshold, specifically:
- the preset line proportional threshold is 0.3, and the ratio of the suspected lines having the same starting data binarization value and the same number of data in the line proportion is extracted, and the following are: (1) 6:5:17:5:6; (2) 17:5:6:22:7; (3) 6:22:7:5:11; (4) 7:5:11:11:11; 5) 11:11:11:5:6;
- the rectangular image and the area range of the rectangular image up and down extending width thresholds are binarized, specifically:
- [0114] preset a translation distance, and translate the diagonal lines in two directions of upward and downward directions, respectively;
- the coordinates of the recorded white point and the black point are the edge black and white boundary points of the position detection pattern of the QR code; [0117] The black and white boundary points are connected to form a position detection pattern of the QR code.
- a QR code feature detection system comprising:
- a dividing module configured to divide the received QR code image into a plurality of lines of images having the same number of lines as the line number threshold;
- a calculation module configured to calculate an average gray value of each column of pixels in the plurality of lines of images to form row data
- a first binarization module configured to perform binarization on the row data
- a statistics module configured to calculate a ratio of consecutive 1s and consecutive 0s in the row data after binarization to form a line ratio
- an extraction module configured to extract a rectangular image corresponding to a row ratio of the similarity of the preset ratio in the row proportional threshold
- a second binarization module that binarizes the rectangular image and the area range of the rectangular image up and down each extending width threshold
- a first searching module configured to search for a column line segment that meets a preset ratio on a middle column of the extracted rectangular image
- a panning module configured to translate a diagonal line of the square image including the rectangular image and the column line segment in two directions of upward and downward directions;
- a second searching module configured to find the square image edge black and white boundary point on the diagonal of the translation
- a recording module configured to record black and white boundary of the square image edge on the diagonal of the translation Point
- the component module is configured to connect the black and white boundary points to form a position detection pattern of the QR code.
- Embodiment 2 of the present invention is:
- a QR code feature detection system comprising:
- a dividing module configured to divide the received QR code image into a plurality of lines of images having the same number of lines as the line number threshold;
- a calculation module configured to calculate an average gray value of each column of the plurality of lines of pixels to form row data
- a first binarization module configured to binarize the row data
- a statistics module configured to calculate a ratio of consecutive 1 and consecutive 0 in the row data after binarization to form a line ratio
- an extraction module configured to extract a rectangular image corresponding to a row ratio of the similarity of the preset ratio in the row proportional threshold
- a second binarization module that binarizes the rectangular image and the area range of the rectangular image up and down each extending width threshold
- a first searching module configured to search for a column line segment that meets a preset ratio on a middle column of the extracted rectangular image
- a panning module configured to translate a diagonal line of the square image including the rectangular image and the column line segment in upward and downward directions, respectively;
- a second searching module configured to find the square image edge black and white boundary point on the diagonal of the translation
- a recording module configured to record black and white boundary of the square image edge on the diagonal of the translation Point
- a component module configured to connect the black and white boundary points to form a position detection pattern of the QR code.
- the QR code feature detection method and system provided by the present invention first detects a plurality of lines of the received QR code image to find a partial rectangular image in the position detection pattern, and then Find the position of the column of the position detection pattern on the middle column, and then find the boundary line of the position detection image.
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EP16829814.9A EP3309705B1 (en) | 2015-07-30 | 2016-07-22 | Qr code feature detection method and system |
BR112018001703-5A BR112018001703B1 (pt) | 2015-07-30 | 2016-07-22 | Método e sistema de detecção de recurso de código de resposta rápida |
US15/871,912 US10102408B2 (en) | 2015-07-30 | 2018-01-15 | Quick response code feature detection method and system |
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CN110033466A (zh) * | 2019-04-01 | 2019-07-19 | 数坤(北京)网络科技有限公司 | 一种基于多灰度级的冠脉拉直图像分割边界确定方法 |
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CN105117677B (zh) * | 2015-07-30 | 2017-10-31 | 福建联迪商用设备有限公司 | 一种qr码特征检测方法及*** |
CN106127276B (zh) * | 2016-06-27 | 2018-12-21 | 福建联迪商用设备有限公司 | 一种量化污损QRCode的方法及*** |
CN106503604B (zh) * | 2016-10-18 | 2019-05-14 | 上海觉感视觉科技有限公司 | 一种qr码的位置探测图形分组方法 |
JP1585739S (zh) * | 2017-04-13 | 2017-09-11 | ||
USD848433S1 (en) * | 2017-04-13 | 2019-05-14 | Hamamatsu Photonics K.K. | Management card for digital slides |
JP1585744S (zh) | 2017-04-13 | 2017-09-11 | ||
JP1585742S (zh) | 2017-04-13 | 2017-09-11 | ||
USD897351S1 (en) | 2017-04-13 | 2020-09-29 | Hamamatsu Photonics K.K. | Digital slide scanner |
JP1585741S (zh) | 2017-04-13 | 2017-09-11 | ||
JP1585743S (zh) | 2017-04-13 | 2017-09-11 | ||
CN112861560B (zh) | 2017-09-27 | 2023-12-22 | 创新先进技术有限公司 | 二维码定位方法及装置 |
CN110555498A (zh) * | 2018-06-04 | 2019-12-10 | 北京三快在线科技有限公司 | 二维码的生成方法、装置、电子设备、存储介质 |
CN109993019A (zh) * | 2019-04-15 | 2019-07-09 | 苏州国芯科技股份有限公司 | 基于连通域分析的二维码识别方法、***及设备和介质 |
CN112329496B (zh) * | 2020-12-02 | 2023-12-19 | 库卡机器人(广东)有限公司 | 矩形二维码识别方法、装置及电子设备 |
CN113706522B (zh) * | 2021-09-08 | 2024-05-31 | 常州市新创智能科技有限公司 | 玻纤表面纸板屑检测方法、装置、存储介质和电子设备 |
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