CN108921897B - Method and apparatus for locating card area - Google Patents
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Abstract
The application relates to a method and equipment for positioning a card area, wherein the method can comprise the following steps: determining a target straight line segment related to the card edge in a predefined area of an image frame taken for the card; combining the target straight line segments into a quadrangle and determining a candidate quadrangle therefrom; determining candidate straight-line segments associated with a sequence of numbers in a particular region within the candidate quadrilateral; and based on the characteristics of the number sequence related to the candidate straight-line segment, positioning a target quadrangle conforming to the characteristics of the number sequence as a card area. According to the technical scheme of the application, the validity of a plurality of candidate quadrangles obtained under a complex background is verified and the card area is finally determined by utilizing the characteristics of the digital sequence of the card, so that the card area is quickly and accurately positioned under the complex environment background.
Description
The application is a divisional application of Chinese patent application with the name of 'method and equipment for positioning card area' filed by the Chinese patent office on 03/06/03/2013 with the application number of 201310216574.8.
Technical Field
The present application relates to the field of image processing, and more particularly, to a method and apparatus for locating a card region.
Background
With the development of the internet, quick payment such as online payment and mobile payment is becoming more and more common. During this time, there are more and more situations that require the bank card user to directly input card information. The use of image capture devices to obtain information on the card surface of a bank card has also become a trend for rapid entry of auxiliary information.
Most of the application programs on the market at present are difficult to provide satisfactory user experience, and the key point is that when a user uses a mobile phone to shoot a card, a card positioning algorithm cannot adapt to various complex backgrounds, and the card positioning is difficult to be rapidly and accurately carried out. Most procedures often require the user to place the card in a relatively simple context and manually trigger the taking of a photograph before detection and identification. From the aspect of interactive experience, the use mode is extremely unnatural, and the tolerance of a user is rapidly reduced.
Therefore, a method for quickly and accurately positioning a card area in a bank card information input mode integrating quickness, accuracy and convenience is needed.
Disclosure of Invention
It is therefore an object of the present application to provide a technique for locating a card area in an image frame taken for a card to overcome the above-mentioned drawbacks.
According to an embodiment of one aspect of the present application, there is provided a method of locating a card area, comprising: determining a target straight line segment related to the card edge in a predefined area of an image frame taken for the card; combining the target straight line segments into a quadrangle and determining a candidate quadrangle therefrom; determining candidate straight-line segments associated with a sequence of numbers in a particular region within the candidate quadrilateral; and based on the characteristics of the number sequence related to the candidate straight-line segment, positioning a target quadrangle conforming to the characteristics of the number sequence as a card area.
According to an embodiment of the application, in the method, the predefined area is based on a predetermined range around a guide frame on the image frame.
According to an embodiment of the application, in the method, determining a target straight-line segment related to a card edge in a predefined area of the image frame further comprises: finding straight line segments in a predefined area in the image frame; and determining the straight line segment which forms an included angle with the four boundaries of the guide frame, wherein the included angle is smaller than a first included angle threshold value, as a target straight line segment.
According to an embodiment of the application, in the method, finding a straight-line segment in a predefined area in the image frame further comprises: a straight line fit is made to the edges in the predefined area using a least squares method to find straight line segments.
According to an embodiment of the present application, in the method, determining candidate straight-line segments associated with the sequence of numbers in specific regions within the candidate quadrilaterals, respectively, further comprises: performing edge detection in a specific area of the quadrangle to acquire a binary image containing edge information; performing a Hough transform on the binary image to obtain straight line segments associated with a sequence of digital features; and determining candidate straight-line segments from the straight-line segments that are associated with the sequence of digital features.
According to an embodiment of the application, the method further comprises: and acquiring a rectangular image mapped with the target quadrangle image based on the target quadrangle.
According to an embodiment of the application, in the method, based on the target quadrangle, acquiring the rectangular image mapped with the target quadrangle image includes: acquiring a single mapping matrix from a target quadrangle to a rectangle based on the target quadrangle; and acquiring a rectangular image mapped with the target quadrilateral image based on the single mapping matrix.
According to an embodiment of another aspect of the present application, there is provided an apparatus for locating a card area, including: a first line segment determination module for determining a target line segment related to an edge of a card in a predefined area of an image frame taken for the card; a shape determination module for combining the target straight line segments into a quadrilateral and determining a candidate quadrilateral therefrom; a second line segment determination module for determining candidate line segments associated with a sequence of numbers in a particular region within the candidate quadrilateral; and a card positioning module for positioning a target quadrangle conforming to the characteristics of the number sequence as a card area based on the characteristics of the number sequence associated with the candidate straight line segment.
Compared with the prior art, according to the technical scheme, the validity of a plurality of candidate quadrangles obtained under the complex background is verified and the card area is finally determined by utilizing the characteristics of the digital sequence of the card, so that the card area is quickly and accurately positioned under the complex environment background.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 shows a flow diagram of a method of locating a card zone according to an embodiment of the application;
FIG. 2 is a flowchart illustrating steps for finding a target straight line segment in a predefined area of the image frame according to an embodiment of the present application;
FIG. 3 schematically illustrates a schematic diagram of determining a target quadrilateral according to an embodiment of the present application;
FIG. 4 schematically illustrates a diagram of normalizing a card image from a target quadrilateral to a rectangle according to an embodiment of the application; and
FIG. 5 shows a block diagram of a card zone locating device according to an embodiment of the application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, fig. 1 shows a flowchart of a method of locating a card area according to an embodiment of the present application.
At step S110, a target straight-line segment is determined in a predefined area of an image frame taken for a card.
In one application scenario of the present application, for example, when a user needs to input bank card information such as a card number, a validity period, and the like by making an online payment through a portable terminal such as a laptop computer, a palmtop computer, a mobile phone, and the like, the card information may be identified and input by an image acquisition means such as a camera of the portable terminal. It is first necessary to locate the card area. Therefore, a target straight line segment is first determined in a predefined area of an image frame taken for the card.
The process of determining the straight line segment of the target is shown in fig. 2. For example, at step 201, a straight line segment in a predefined area in an image frame taken for a card may be found, and then a straight line segment forming an angle smaller than a first angle threshold with four boundaries of the predefined area is determined as a target straight line segment at step 202. Wherein the predefined area is based on a predetermined range around the guide frame on the image frame. Wherein the guide frame is virtual and overlaid on the captured image frame. Where a straight line fit can be made to the edges in the predefined area using a least squares method to find straight line segments.
Specifically, taking a bank card as an example, for example, it is necessary to photograph the bank card and locate the position of the bank card in the image frame, a guide frame (the guide frame may be adapted to the shape of the card, for example, may be rectangular) is used as a guide in the photographing window, and when photographing the bank card, an attempt is made to align the card with the guide frame on the display window. More specifically, the Display window displays a scene captured by the camera, and the guide frame is superimposed On the displayed real-time video in an OSD (On Screen Display) manner, thereby forming a guide frame. The method comprises the steps that a user moves a camera or a card, tries to align a shot card image with a guide frame, continuously collects video frames in the process, can select any image frame from the video frames and carry out edge detection on a predefined area of the image frame, carries out straight line fitting on an edge detection result by using a least square method, and determines straight line segments, of which included angles formed by four boundaries of the guide area are smaller than a first included angle threshold value, as target straight line segments. The first angle threshold may be selected to be 20 degrees, for example.
After the target straight line segment is found, the method continues to step 102. At step 102, the target straight-line segments are combined into a quadrilateral and candidate quadrilaterals are determined therefrom.
Specifically, all possible quadrilaterals are combined according to the target straight line segments found at step 101. Then, all quadrangles may be filtered again. For example, if the adjacent side angle of a quadrilateral is less than the second angle threshold, it is filtered out. The second angle threshold range may be selected to be any number of degrees within 70 degrees to 110 degrees, for example. And finally screening one or more candidate quadrangles meeting the requirements. Recording four vertex positions of the one or more candidate quadrilaterals for subsequent use.
At step 103, candidate straight-line segments associated with the sequence of numbers are determined in a particular region within the candidate quadrilateral.
Specifically, first, edge detection may be performed within a specific region of a candidate quadrangle to acquire a binary image containing edge information, and then Hough transform is performed on the binary image to obtain a straight-line segment related to a digital sequence. Wherein the particular region may be a region associated with a sequence of numbers in the candidate quadrilateral. For example, taking a bank card as an example, the specific area is an area where a card number of the bank card is located.
Based on the obtained straight line segments, the line segments with too short length and too large included angle with the upper and lower edges of the candidate quadrangle are filtered out so as to determine the candidate straight line segments related to the digital sequence from the straight line segments. For example, a straight line segment whose length exceeds the length 1/2 of the long side of the guide box would be deleted. For example, if a straight line segment forms an angle greater than 10 degrees with the candidate quadrilateral, the straight line segment will also be deleted. In this manner, the remaining straight-line segments detected serve as candidate straight-line segments associated with the digital sequence. Wherein the candidate straight-line segments are two line segments formed by the upper edge and the lower edge of the digital sequence.
The selection of the length of the straight line segment and the included angle in the above paragraphs is only an optional example of the present application, and the present application is not limited thereto, and other suitable selections may be made as needed.
At step 104, a target quadrilateral that coincides with a characteristic of a number sequence associated with a candidate straight-line segment is located as a card region based on the characteristic of the number sequence.
Specifically, a candidate straight line segment associated with a sequence of numbers, for example, a candidate straight line segment associated with a sequence of card numbers of a bank card, is obtained at step 103. Then, as shown in fig. 3, based on the candidate straight-line segments and according to the characteristics of the number sequence, a target quadrangle conforming to the characteristics of the number sequence is positioned as a card area. Fig. 3 schematically shows a schematic diagram of a positioning target quadrilateral according to an embodiment of the present application.
Based on the digital sequence related to the candidate straight-line segment, verifying the validity of the quadrangle by using the characteristics of the digital sequence, filtering all quadrangles which do not accord with the characteristics, and positioning the target quadrangle which accords with the characteristics of the digital sequence as a card area. Specifically, the characteristic of the digital sequence associated with the candidate straight-line segment is the perspective projection characteristic. The perspective projection characteristic means that the blanking point of a line segment formed by the upper edge and the lower edge of the digital area is superposed with the blanking points of the upper side and the lower side of a quadrangle formed by the card surface position of the card (under the condition of parallel, the blanking points appear at infinity), and the included angle formed by the upper edge and the lower edge of the digital area is smaller than or equal to the included angle of the upper side and the lower side of the quadrangle. That is, perspective projection characteristics are met between the candidate straight-line segment and the target quadrangle, so that the perspective projection characteristics related to the candidate straight-line segment are utilized to determine the target quadrangle which is met with the candidate straight-line segment. Therefore, based on the principle, a quadrangle formed by redundant line segments which do not accord with the perspective projection characteristic is filtered out, and a target quadrangle is obtained.
It should be noted that the above embodiments are all exemplified by bank cards, but in practice, the solution in the present application is not limited to bank cards, but can be applied to various standard cards conforming to standards, such as identification cards, membership cards, and the like.
According to the method of the embodiment of the application, the method further comprises the step of acquiring a rectangular image mapped with the quadrilateral image based on the target quadrilateral. And acquiring a single mapping matrix from the target quadrangle to the rectangle based on the target quadrangle, and then acquiring a rectangular image mapped with the target quadrangle image based on the single mapping matrix.
Fig. 4 schematically shows a schematic diagram of a step of normalizing a card image from a target quadrangle to a rectangle according to an embodiment of the application. Since the target card is known to be rectangular, a single mapping matrix from the target quadrangle to the rectangle detected in the last step is solved, and the target quadrangle image is mapped into a rectangular image through the single mapping matrix, wherein the rectangular image is the corrected card image. The mapping formula is as follows:
pb＝Habpa
in each of the above equations, where pbFor points in the original image, i.e. points of the target quadrilateral, paFor the points in the corrected image, that is, the points of the rectangle, the linear equation is solved by substituting the preset four vertex positions (xa0, ya0), (xa1, ya1), (xa2, ya2), (xa3, ya3) of the corrected normalized image and the four vertex positions (xb0, yb0), (xb1, yb1), (xb2, yb2), (xb3, yb3) of the card positioned in the original image into the above formula, resulting in a matrix H, that is, a point of the rectangle, and obtaining a matrix Hab. And then mapping each corrected point position back to the original image through the formula. Assuming that (xan, yan) corresponds to the point (xbn, ybn), and n takes values of 0, 1, 2, and 3, respectively, the pixel value of (xbn, ybn) can be represented by bilinear interpolation of (xan, yan).
So far, a flowchart of a method of locating a card area in an image frame taken for a card of an embodiment of the present application has been described.
According to an embodiment of the present application, there is also provided an apparatus 500 for locating a card area, as shown in fig. 5, fig. 5 is a block diagram of a structure for locating a card area in an image frame captured for a card according to an embodiment of the present application. The apparatus may include: a first line segment determination module 510, a shape determination module 520, a second line segment determination module 530, and a card positioning module 540.
The first line segment determination module 510 may be configured to determine a target line segment associated with a card edge in a predefined area of the image frame, wherein the predefined area is based on a predetermined range around a guide frame on the image frame. The shape determination module 520 may be configured to combine the target straight line segments into a quadrilateral and determine a candidate quadrilateral therefrom. The second line segment determining module 530 may be configured to determine candidate line segments associated with a sequence of numbers in a particular region within the candidate quadrilateral; and the card positioning module 540 may be configured to position a target quadrangle conforming to the characteristics of the number sequence as a card area based on the candidate straight line segments and according to the characteristics of the number sequence.
According to the apparatus of the embodiment of the present application, the first line segment determining module 510 may further include a finding sub-module 511 and a first line segment determining sub-module 512, where the finding sub-module 511 may be configured to find a line segment in a predefined area in the image frame, and the finding sub-module 511 performs a straight line fitting on an edge in the predefined area using a least square method to find the line segment. The first line segment determination submodule 512 may be configured to determine, as the target line segment, a line segment that forms an angle with four boundaries of the guide box that is smaller than a first angle threshold.
According to the apparatus of the embodiment of the present application, the second line segment determining module 530 may further include a detection sub-module 531, a transformation sub-module 532, and a second line segment determining sub-module 533. The detection submodule 531 may be configured to perform edge detection in a specific area of the quadrangle to obtain a binary image containing edge information, and the transformation submodule 532 may be configured to perform Hough transformation on the binary image to obtain a straight-line segment related to the digital feature sequence; and the second line segment determination detection submodule 533 may be configured to determine candidate line segments from the line segments that are associated with the sequence of digital features.
The apparatus according to the embodiment of the present application may further include an obtaining module (not shown), where the obtaining module may be configured to obtain, based on the target quadrangle, a rectangular image mapped with the target quadrangle image.
According to the device of the embodiment of the application, the obtaining module may include a first obtaining submodule and a second obtaining submodule, where the first obtaining submodule may be configured to obtain a single mapping matrix from a target quadrangle to a rectangle based on the target quadrangle. And the second obtaining submodule is used for obtaining a rectangular image mapped with the target quadrilateral image based on the single mapping matrix.
Since the functions implemented by the device of this embodiment substantially correspond to the method embodiments shown in fig. 1 to fig. 5, details of the description of this embodiment are not described in detail, and refer to the related descriptions in the foregoing embodiments, which are not described herein again.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (14)
1. A method of locating a card zone, comprising:
determining a target straight line segment related to the card edge in a predefined area of an image frame taken for the card;
combining the target straight line segments into a quadrangle and determining a candidate quadrangle therefrom;
determining candidate straight-line segments associated with a sequence of numbers in a particular region within the candidate quadrilateral; and
and positioning a target quadrangle conforming to the characteristics of the digital sequence as a card area based on the characteristics of the digital sequence related to the candidate straight line segment, wherein the characteristics of the digital sequence are perspective projection characteristics.
2. The method of claim 1, wherein the predefined area is based on a predetermined range around a guide frame on an image frame.
3. The method of claim 2, wherein determining a target straight-line segment in a predefined area of the image frame that is associated with a card edge further comprises:
finding straight line segments in a predefined area in the image frame; and
and determining the straight line segment which forms an included angle smaller than a first included angle threshold value with the four boundaries of the guide frame as a target straight line segment.
4. The method of claim 3, wherein finding straight line segments in a predefined area in an image frame further comprises: a straight line fit is made to the edges in the predefined area using a least squares method to find straight line segments.
5. The method of claim 1, wherein determining candidate straight-line segments associated with a sequence of numbers in a particular region within the candidate quadrilateral further comprises:
performing edge detection in a specific area of the candidate quadrangle to acquire a binary image containing edge information;
performing a Hough transform on the binary image to obtain straight line segments associated with a sequence of digital features; and
candidate straight-line segments associated with the digital feature sequence are determined from the straight-line segments associated with the digital feature sequence.
6. The method of any of claims 1-5, further comprising: and acquiring a rectangular image mapped with the target quadrangle image based on the target quadrangle.
7. The method of claim 6, wherein based on the target quadrilateral, obtaining a rectangular image mapped to the target quadrilateral image comprises:
acquiring a single mapping matrix from a target quadrangle to a rectangle based on the target quadrangle; and
and acquiring a rectangular image mapped with the target quadrilateral image based on the single mapping matrix.
8. An apparatus for locating an area of a card, comprising:
a first line segment determination module for determining a target line segment related to an edge of a card in a predefined area of an image frame taken for the card;
a shape determination module for combining the target straight line segments into a quadrilateral and determining a candidate quadrilateral therefrom;
a second line segment determination module for determining candidate line segments associated with a sequence of numbers in a particular region within the candidate quadrilateral; and
and the card positioning module is used for positioning a target quadrangle which conforms to the characteristics of the digital sequence as a card area based on the characteristics of the digital sequence related to the candidate straight line segment, wherein the characteristics of the digital sequence are perspective projection characteristics.
9. The device of claim 8, wherein the predefined area is based on a predetermined range around a guide frame on an image frame.
10. The apparatus of claim 9, wherein the first segment determining module further comprises:
the searching sub-module is used for searching straight line segments in a predefined area in the image frame; and
and the first line segment determining submodule is used for determining the line segments which form included angles with the four boundaries of the guide frame and are smaller than a first included angle threshold value as the target line segments.
11. The apparatus of claim 10 wherein the find sub-module uses a least squares fit to the edges in the predefined area to find straight line segments.
12. The apparatus of claim 8, wherein the second segment determination module further comprises:
the detection submodule is used for carrying out edge detection in a specific area of the candidate quadrangle so as to obtain a binary image containing edge information;
a transformation submodule for performing a Hough transformation on the binary image to obtain straight line segments relating to a sequence of digital features; and
and a second line segment determining sub-module for determining candidate line segments associated with the digital feature sequence from the line segments associated with the digital feature sequence.
13. The apparatus of any of claims 8-12, further comprising: and the acquisition module is used for acquiring a rectangular image mapped with the target quadrilateral image based on the target quadrilateral.
14. The apparatus of claim 13, the acquisition module comprising:
the first obtaining submodule is used for obtaining a single mapping matrix from a target quadrangle to a rectangle based on the target quadrangle; and
and the second obtaining submodule is used for obtaining a rectangular image mapped with the target quadrilateral image based on the single mapping matrix.
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| CN201810672072.9A CN108921897B (en) | 2013-06-03 | 2013-06-03 | Method and apparatus for locating card area |
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| CN201810672072.9A CN108921897B (en) | 2013-06-03 | 2013-06-03 | Method and apparatus for locating card area |
| CN201310216574.8A CN104217444B (en) | 2013-06-03 | 2013-06-03 | The method and apparatus in positioning cards region |
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Families Citing this family (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104574403B (en) * | 2015-01-12 | 2017-09-22 | 飞天诚信科技股份有限公司 | A kind of intelligent method of cutting out |
| CN104933401A (en) * | 2015-05-08 | 2015-09-23 | 小米科技有限责任公司 | Image recognition method and apparatus |
| CN105139378A (en) * | 2015-07-31 | 2015-12-09 | 小米科技有限责任公司 | Card boundary detection method and apparatus |
| CN105550633B (en) | 2015-10-30 | 2018-12-11 | 小米科技有限责任公司 | Area recognizing method and device |
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| CN106408533B (en) * | 2016-09-12 | 2019-10-22 | 大连海事大学 | A kind of card image extracting method and system |
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| CN106570547B (en) * | 2016-10-18 | 2019-05-07 | 网易（杭州）网络有限公司 | A kind of generation of coding pattern, recognition methods and device |
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| CN108848301A (en) * | 2018-05-23 | 2018-11-20 | 阿里巴巴集团控股有限公司 | A kind of bill shooting exchange method, device, processing equipment and client |
| US10331966B1 (en) * | 2018-10-19 | 2019-06-25 | Capital One Services, Llc | Image processing to detect a rectangular object |
| CN109685764B (en) * | 2018-11-19 | 2020-10-30 | 深圳市维图视技术有限公司 | Product positioning method and device and terminal equipment |
| CN109360205B (en) * | 2018-12-07 | 2021-08-31 | 泰康保险集团股份有限公司 | Double-recording video quality inspection method, device, medium and electronic equipment |
| CN110738204B (en) * | 2019-09-18 | 2023-07-25 | 平安科技（深圳）有限公司 | Certificate area positioning method and device |
| CN117351185A (en) * | 2022-06-29 | 2024-01-05 | 北京字跳网络技术有限公司 | Virtual special effect mounting plane detection method, device, equipment and storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4922111A (en) * | 1987-11-20 | 1990-05-01 | Sanyo Electric Co., Ltd. | Card type image reader with means for relieving bending stress |
| CN1423794A (en) * | 2000-06-27 | 2003-06-11 | 索利斯蒂克有限公司 | Segmentation of a postal object digital image by HOUGH transform |
| CN201159903Y (en) * | 2008-03-14 | 2008-12-03 | 北京信路威科技发展有限公司 | License plate recognition device |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4422168B2 (en) * | 2007-04-09 | 2010-02-24 | シャープ株式会社 | Image processing device |
| CN102930265B (en) * | 2012-09-19 | 2015-07-29 | 广州市中崎商业机器有限公司 | A kind of many I.D.s scan method and device |
-
2013
- 2013-06-03 CN CN201810672072.9A patent/CN108921897B/en active Active
- 2013-06-03 CN CN201310216574.8A patent/CN104217444B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4922111A (en) * | 1987-11-20 | 1990-05-01 | Sanyo Electric Co., Ltd. | Card type image reader with means for relieving bending stress |
| CN1423794A (en) * | 2000-06-27 | 2003-06-11 | 索利斯蒂克有限公司 | Segmentation of a postal object digital image by HOUGH transform |
| CN201159903Y (en) * | 2008-03-14 | 2008-12-03 | 北京信路威科技发展有限公司 | License plate recognition device |
Non-Patent Citations (2)
| Title |
|---|
| 基于Hough变换的四边形分类识别算法研究;刘智;《广西计算机学会2010年学术年会论文集》;20101231;正文第3页 * |
| 实时卡片字符识别与校验系统的设计与实现;洪义平等;《计算机工程与应用》;20051231(第17期);正文第114页 * |
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| Publication number | Publication date |
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| CN104217444A (en) | 2014-12-17 |
| CN104217444B (en) | 2018-06-05 |
| CN108921897A (en) | 2018-11-30 |
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