CN117522983A - Notch positioning method, device, equipment and medium for slide block verification code - Google Patents
Notch positioning method, device, equipment and medium for slide block verification code Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/36—User authentication by graphic or iconic representation
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- G06T7/13—Edge detection
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Abstract
The application relates to the technical field of image notch positioning, in particular to a notch positioning method, device, equipment and medium of a slide block verification code, wherein the method comprises the following steps: preprocessing is carried out based on the slider image and the notch background image, and the preprocessed original slider image and gray notch background image are obtained. Then, morphological operation is carried out based on the original slider image to obtain a target slider image, mask operation is carried out based on the original slider image and the target slider image to determine the slider profile corresponding to the slider image, and meanwhile, edge detection is carried out based on the gray notch background image to obtain a texture edge map corresponding to the notch background image. And finally, searching and positioning based on the profile of the sliding block and the texture edge map to obtain the notch position corresponding to the notch. By means of the method, the slide block contour of the slide block is utilized to search and position in the notch background image, unnecessary noise interference is ignored, and accuracy of notch positioning can be improved.
Description
Technical Field
The application relates to the technical field of notch positioning, in particular to a notch positioning method, device, equipment and medium for a slide block verification code.
Background
Image notch positioning is a common research direction in the fields of image processing and image recognition and is often applied to various industries. For example, aiming at the internet security wind control direction, in order to prevent an automation program from frequently accessing maliciously in a short time, a website intercepts an excessive access request by utilizing a sliding verification code, namely, the website is presented in a large image and a small image on a display interface, a gap similar to the pattern and the form of the small image exists in the large image, and the small image needs to be dragged to the gap in the large image to complement a complete pattern so as to complete the sliding verification.
In the related art, a deep learning algorithm is often used for positioning the image notch, and when interference noise similar to that of a small image exists in a large image, the effect of positioning the notch is improved by using the deep learning algorithm for positioning the image notch. However, when the pattern and the form of the large image are similar to those of the small image, but the interference noise with different rotation angles is generated, the deep learning algorithm is highly confused, so that the accuracy of determining the position of the image notch by using the deep learning algorithm is low.
Thus, how to improve the accuracy of image notch positioning is a problem to be solved by those skilled in the art.
Disclosure of Invention
The application aims to provide a notch positioning method, device, equipment and medium for a slide block verification code, which are used for solving at least one technical problem.
The above object of the present application is achieved by the following technical solutions:
in a first aspect, the present application provides a method for positioning a notch of a sliding block verification code, which adopts the following technical scheme:
a notch positioning method of a slide block verification code comprises the following steps:
acquiring a slider image and a notch background image, and preprocessing the slider image and the notch background image to obtain a preprocessed original slider image and a preprocessed gray notch background image, wherein the original slider image is a binarized image;
performing morphological operation based on the original slider image to obtain a target slider image;
performing mask operation based on the original slider image and the target slider image, determining a slider contour corresponding to the slider image, and performing edge detection based on the gray level notch background image to obtain a texture edge map corresponding to the notch background image;
and searching and positioning based on the profile of the sliding block and the texture edge map to obtain a notch position corresponding to the notch, wherein the notch is the notch with the same rotation angle as the sliding block image in the notch background image.
By adopting the technical scheme, the pretreatment is carried out based on the slider image and the notch background image, and the original slider image and the gray notch background image after the pretreatment are obtained. Then, morphological operation is carried out based on the original slider image to obtain a target slider image, mask operation is carried out based on the original slider image and the target slider image to determine the slider profile corresponding to the slider image, and meanwhile, edge detection is carried out based on the gray notch background image to obtain a texture edge map corresponding to the notch background image. And finally, searching and positioning based on the texture edge map corresponding to the slide block contour and the notch background image to obtain the notch position corresponding to the notch. By means of the method, the slide block contour of the slide block is utilized to search and position in the notch background image, unnecessary noise interference is ignored, and accuracy of notch positioning can be improved.
The present application may be further configured in a preferred example to: the preprocessing is performed based on the slider image and the notch background image to obtain a preprocessed original slider image and a preprocessed gray notch background image, and the preprocessing comprises the following steps:
gray conversion is carried out based on the notch background image, so that a gray notch background image is obtained;
Channel detection is carried out based on the slider image, when the slider image comprises an alpha channel, the alpha channel in the slider image is obtained, and a preprocessed original slider image is obtained based on the alpha channel;
and when the slider image does not comprise the alpha channel, performing multidimensional operation based on the slider image to obtain a preprocessed original slider image, wherein the multidimensional operation comprises: gray conversion, denoising and binarization.
The present application may be further configured in a preferred example to: the preprocessing is performed based on the slider image and the notch background image, and before the preprocessed original slider image and gray notch background image are obtained, the method further comprises:
judging whether the slider image designates a starting point height, when the starting point height is designated, acquiring the image height of the slider image, and dividing the area based on the starting point height, the image height and the notch background image to determine an interest background image, wherein the interest background image is an image area consistent with the image height in the gray notch background image;
correspondingly, the preprocessing is performed based on the slider image and the notch background image to obtain a preprocessed original slider image and a preprocessed gray notch background image, which comprises the following steps:
And preprocessing based on the slider image and the interest background image to obtain a preprocessed original slider image and a gray notch background image.
The present application may be further configured in a preferred example to: the step of searching and positioning based on the slide block contour and the texture edge map to obtain a notch position corresponding to the notch comprises the following steps:
taking the sliding block outline as a mask in searching and positioning, acquiring a sliding step length corresponding to the sliding block outline, and controlling the mask to slide according to the sliding step length;
after the mask slides, calculating based on the mask and the texture edge map to obtain similarity information; wherein the target slide is any one slide of all slides of the mask;
after the mask finishes all sliding, obtaining similarity distribution information based on the similarity information of each target sliding;
and carrying out positioning analysis based on the similarity distribution information, and determining the notch position corresponding to the notch.
The present application may be further configured in a preferred example to: after the target sliding is performed on the mask, the computing is performed based on the mask and the texture edge map, and after similarity information is obtained, the method further comprises the steps of:
Step length adjustment analysis is carried out based on the similarity information, and a step length analysis result is obtained;
and when the step length analysis result is an adjustment step length, determining an adjustment sliding step length based on the similarity information and the size of the sliding block outline, and controlling a mask to slide according to the adjustment sliding step length.
The present application may be further configured in a preferred example to: the determination mode of the sliding step length comprises the following steps:
acquiring positioning accuracy, and determining a first sliding step length based on the positioning accuracy;
determining a second sliding step based on the size of the slider profile;
and integrating the first sliding step length and the second sliding step length to finally determine the sliding step length.
The present application may be further configured in a preferred example to: performing morphological operation based on the original slider image to obtain a target slider image, including:
and performing corrosion operation based on the original slider image to obtain a corroded target slider image.
In a second aspect, the present application provides a notch positioning device for a sliding block verification code, which adopts the following technical scheme:
a notch locating device for a slider verification code, comprising:
the preprocessing module is used for acquiring a slider image and a notch background image, preprocessing the slider image and the notch background image based on the slider image and the notch background image to obtain a preprocessed original slider image and a preprocessed gray-scale notch background image, wherein the original slider image is a binarized image;
The morphological operation module is used for performing morphological operation based on the original slider image to obtain a target slider image;
the edge detection contour searching module is used for performing mask operation based on the original slider image and the target slider image, determining a slider contour corresponding to the slider image, and performing edge detection based on the gray level notch background image to obtain a texture edge image corresponding to the notch background image;
the searching and positioning module is used for searching and positioning based on the profile of the sliding block and the texture edge graph to obtain a notch position corresponding to the notch, wherein the notch is the notch with the same rotation angle as the sliding block image in the notch background image.
In a third aspect, the present application provides an electronic device, which adopts the following technical scheme:
at least one processor;
a memory;
at least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: and executing the notch positioning method of the slide block verification code.
In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:
A computer readable storage medium having stored thereon a computer program which, when executed in a computer, causes the computer to perform the method of notch locating of a slider verification code described above.
In summary, the present application includes at least one of the following beneficial technical effects:
1. preprocessing is carried out based on the slider image and the notch background image, and the preprocessed original slider image and gray notch background image are obtained. Then, morphological operation is carried out based on the original slider image to obtain a target slider image, mask operation is carried out based on the original slider image and the target slider image to determine the slider profile corresponding to the slider image, and meanwhile, edge detection is carried out based on the gray notch background image to obtain a texture edge map corresponding to the notch background image. And finally, searching and positioning based on the profile of the sliding block and the texture edge map to obtain the notch position corresponding to the notch. In this way, the slide block contour of the slide block is utilized to search and position in the notch background image, unnecessary noise interference is ignored, and the accuracy of notch positioning can be improved;
2. and gray conversion is carried out on the basis of the notch background image to obtain a gray notch background image, the gray conversion can eliminate color information, the structure and texture information of the image can be better highlighted, unnecessary interference is reduced, and therefore the accuracy and stability of a subsequent notch positioning algorithm are improved. However, channel detection is performed based on the slider image, and when the slider image includes an alpha channel, a preprocessed original slider image is obtained based on the alpha channel; and when the slider image does not comprise the alpha channel, performing multidimensional operation based on the slider image to obtain the preprocessed original slider image. For preprocessing of the slider image, different preprocessing modes are adopted by comprehensively considering the channel type of the slider image and are used for adapting to different types of slider images so as to improve the preprocessing effect and accuracy.
Drawings
FIG. 1 is a flowchart of a method for positioning a notch of a slider verification code according to one embodiment of the present disclosure;
FIG. 2 is a schematic illustration of a slider image and a notch background image according to one embodiment of the present application;
FIG. 3 is a schematic structural diagram of a notch positioning device for a slider verification code according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The present application is described in further detail below in conjunction with fig. 1-4.
The present embodiment is merely illustrative of the present application and is not intended to be limiting, and those skilled in the art, after having read the present specification, may make modifications to the present embodiment without creative contribution as required, but is protected by patent laws within the scope of the present application.
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In this context, unless otherwise specified, the term "/" generally indicates that the associated object is an "or" relationship.
Embodiments of the present application are described in further detail below with reference to the drawings attached hereto.
The embodiment of the application provides a notch positioning method of a slide block verification code, which is executed by electronic equipment, wherein the electronic equipment can be a server or terminal equipment, and the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server for providing cloud computing service. The terminal device may be a smart phone, a tablet computer, a notebook computer, a desktop computer, or the like, but is not limited thereto, and the terminal device and the server may be directly or indirectly connected through a wired or wireless communication manner, which is not limited herein, and as shown in fig. 1, the method includes steps S101, S102, S103, and S104, where:
Step S101: and acquiring a slider image and a notch background image, and preprocessing the slider image and the notch background image to obtain a preprocessed original slider image and a preprocessed gray notch background image, wherein the original slider image is a binarized image.
For the embodiment of the application, at least a notch part similar to the pattern and the form of the slide block image exists in the notch background image, in order to determine the notch position corresponding to the slide block image in the notch background image, firstly, the slide block image and the notch background image are acquired, and then, preprocessing is performed based on the slide block image and the notch background image, so that the preprocessed original slide block image and the preprocessed gray notch background image are obtained. Pretreatment includes, but is not limited to: gray conversion, denoising and binarization, namely, gray conversion is carried out on the notch background image to obtain a gray notch background image; and carrying out gray conversion, denoising and binarization processing on the slider image to obtain an original slider image, wherein the original slider image is in a binarization form.
Step S102: performing morphological operation based on the original slider image to obtain a target slider image;
step S103: and performing mask operation based on the original slider image and the target slider image, determining the slider profile corresponding to the slider image, and performing edge detection based on the gray notch background image to obtain a texture edge map corresponding to the notch background image.
For the embodiments of the present application, morphological operations are performed on the original slider image to simplify the image data, preserve the basic shape characteristics of the slider image, and remove irrelevant structures. In the embodiment of the application, the etching operation is performed based on the original slider image, and the etching operation is used for removing the edge of the original slider image to obtain the target slider image so as to conveniently determine the slider profile corresponding to the slider image. Then, mask operation is performed based on the original slider image and the target slider image, and the slider profile corresponding to the slider image is determined, namely, the position corresponding to the target slider image is set to 0 on the basis of the original slider image, so that the slider profile can more accurately represent the characteristics of the slider, and interference inside the slider is eliminated. And meanwhile, carrying out edge detection based on the gray notch background image to obtain a texture edge image corresponding to the notch background image, wherein the texture edge image is used for highlighting edge information in the gray notch background image and emphasizing a texture structure in the image. There are various ways to detect edges, and embodiments of the present application are not limited thereto, and in one implementation, a filter is used to improve the performance of the edge detector related to noise, and a common filter is gaussian filtering, which is used to weight and sum each point in the gray matrix. Meanwhile, points with obvious change of the intensity value of the neighborhood of the gray point of the image are highlighted by using an enhancement algorithm, however, after the image is enhanced, the magnitude of a plurality of points in the neighborhood is relatively large, and in a specific application, the points are not the edge points to be found, and a certain method is adopted to select the points, namely, the thresholding method is adopted to detect the edges.
Step S104: and searching and positioning based on the profile of the sliding block and the texture edge graph to obtain a notch position corresponding to the notch, wherein the notch is the notch with the same rotation angle as the sliding block image in the notch background image.
For the embodiment of the application, because the texture edge map has dense texture information, if the texture edge map and the slider region corresponding to the slider are used for searching and positioning, the position failure of the searching gap can be caused by larger noise interference, so that the accuracy of positioning the image gap is low. Therefore, in order to improve accuracy of notch positioning and enable a notch positioning method of a slide verification code to have stronger robustness, searching and positioning are performed based on a slide contour and a texture edge map to obtain a notch position corresponding to a notch, namely, the slide contour is used as a mask to perform notch searching and positioning in the texture edge map, and the position of the slide contour in a notch background image is recorded as the notch position, wherein the notch position can be a left edge abscissa of a matching position, and of course, can also be all information corresponding to a successfully matched boundary frame. By means of the method, the slide block contour of the slide block is utilized to search and position in the notch background image, unnecessary noise interference is ignored, calculated amount in notch positioning operation can be reduced, and accuracy of notch positioning can be improved. When the pattern and the form of the notch background image are similar to those of the slider image, but interference noise with different rotation angles exists, the slider contour and the texture edge image are utilized for searching and positioning, the notch which is consistent with the rotation angle of the notch background image can be accurately matched, the accuracy of positioning the image notch is improved, and the robustness is high. As shown in fig. 2, the small image on the left side in fig. 2 is a slider image, the large image on the right side is a notch background image, and two notches similar to the groups and the forms of the slider exist in the notch background image, but the rotation angles of the two notches are inconsistent.
It can be seen that in the embodiment of the present application, preprocessing is performed based on the slider image and the notch background image, so as to obtain the preprocessed original slider image and the gray notch background image. Then, morphological operation is carried out based on the original slider image to obtain a target slider image, mask operation is carried out based on the original slider image and the target slider image to determine the slider profile corresponding to the slider image, and meanwhile, edge detection is carried out based on the gray notch background image to obtain a texture edge map corresponding to the notch background image. And finally, searching and positioning based on the profile of the sliding block and the texture edge map to obtain the notch position corresponding to the notch. By means of the method, the slide block contour of the slide block is utilized to search and position in the notch background image, unnecessary noise interference is ignored, and accuracy of notch positioning can be improved.
Further, in order to improve the effect and accuracy of the preprocessing, in the embodiment of the present application, preprocessing is performed based on the slider image and the notch background image, to obtain the preprocessed original slider image and the gray notch background image, including:
gray conversion is carried out based on the notch background image, so that a gray notch background image is obtained;
Channel detection is carried out based on the slider image, when the slider image comprises an alpha channel, the alpha channel in the slider image is obtained, and the original slider image after preprocessing is obtained based on the alpha channel;
when the slider image does not include an alpha channel, performing multidimensional operation based on the slider image to obtain a preprocessed original slider image, wherein the multidimensional operation comprises: gray conversion, denoising and binarization.
For the embodiment of the application, the gray level conversion can eliminate color information, better highlight the structure and texture information of the image and reduce unnecessary interference, so that the accuracy and stability of a subsequent notch positioning algorithm are improved, and gray level conversion is performed based on the notch background image to obtain a gray level notch background image. For preprocessing of the slider image, different preprocessing modes are adopted by comprehensively considering the channel type of the slider image and are used for adapting to different types of slider images so as to improve the preprocessing effect and accuracy.
When the slider image comprises an alpha channel, acquiring the related information of the alpha channel in the slider image, and replacing the slider image by the alpha channel, namely marking the related information of the alpha channel as the preprocessed original slider image. The alpha channel is generally used for representing the transparency of the original slider image and is used for representing which parts of the slider image are transparent and which parts are opaque, so that the background of the slider image is removed by using the alpha channel, and only the parts of the slider are reserved, so that the positions of the notches can be more accurately matched in the notch positioning and matching process. When the slider image does not include an alpha channel, performing multidimensional operation based on the slider image to obtain a preprocessed original slider image, wherein the multidimensional operation comprises: gray conversion, denoising and binarization are carried out, specifically, gray conversion is carried out based on a slider image, the gray conversion is used for simplifying slider image processing and calculation complexity, reducing interference of color information and highlighting edge and texture information; then, denoising and binarizing are carried out on the gray level image of the slider image to obtain a preprocessed original slider image, wherein the denoising is used for enhancing the visibility of useful signals in the slider image, and improving the signal-to-noise ratio so that the edges and the characteristics of the slider image are clearer; the binarization processing is used for highlighting edge information between the slider and Beijing, so that the slider shape is clearer.
Therefore, in the embodiment of the application, gray conversion is performed based on the notch background image to obtain the gray notch background image, the gray conversion can eliminate color information, the structure and texture information of the image can be better highlighted, unnecessary interference is reduced, and therefore accuracy and stability of a subsequent notch positioning algorithm are improved. However, channel detection is performed based on the slider image, and when the slider image includes an alpha channel, a preprocessed original slider image is obtained based on the alpha channel; and when the slider image does not comprise the alpha channel, performing multidimensional operation based on the slider image to obtain the preprocessed original slider image. For preprocessing of the slider image, different preprocessing modes are adopted by comprehensively considering the channel type of the slider image and are used for adapting to different types of slider images so as to improve the preprocessing effect and accuracy.
Further, in order to reduce unnecessary background interference, be convenient for more accurate, carry out the breach location with high efficiency, in this application embodiment, carry out preliminary treatment based on slider image and breach background image, before obtaining original slider image and grey level breach background image after the preliminary treatment, still include:
Judging whether the slider image designates the starting point height, when the starting point height is designated, acquiring the image height of the slider image, and dividing the area based on the starting point height, the image height and the notch background image to determine an interest background image, wherein the interest background image is an image area consistent with the image height in the gray notch background image;
correspondingly, preprocessing is carried out based on the slider image and the notch background image, and the preprocessed original slider image and gray notch background image are obtained, which comprises the following steps:
preprocessing is carried out based on the slider image and the interest background image, and the preprocessed original slider image and the preprocessed gray notch background image are obtained.
For the embodiment of the application, in general, the size of the slider image is smaller than that of the notch background image, and when the slider image is used to intercept an excessive access request by using the sliding verification code, the position of the slider image is generally divided into two cases, that is, the slider image specifies the starting point height and the unspecified starting point height. For the case of the height of the designated starting point of the slider image, the height of the slider image is the same as the height of the notch in the notch background image, that is, the slider slides at a certain height during the sliding verification of the verification code. For the height of the starting point which is not specified by the slider image, the heights of the notches in the slider image and the notch background image are not necessarily the same, namely, the slider can slide on any telling when the verification code is used for sliding verification. When the height of the starting point is specified by the slider image, the height of the notch in the notch background image is characterized as the same as the height of the starting point, and in order to reduce the calculated amount of the notch positioning algorithm and improve the accuracy and efficiency of notch positioning processing, region division is performed based on the image height, the height of the starting point and the notch background image of the slider image, so that an interesting background image is obtained, namely, region division is performed at the position of the height of the starting point of the notch background image according to the image height as the width. The region division obtains the interesting background image for reducing unnecessary background interference, and is convenient for more accurately and efficiently carrying out notch positioning. Then, preprocessing is performed based on the slider image and the interest background image to obtain a preprocessed original slider image and a gray notch background image, wherein the preprocessing process for the interest background image is the same as the preprocessing process for the notch background image, and the preprocessing process is not repeated. When the height of the starting point is not specified by the slider image, no special processing is carried out on the notch background image, and pretreatment is carried out on the basis of the slider image and the notch background image, so that the pretreated original slider image and the pretreated gray notch background image are obtained.
It can be seen that in the embodiment of the present application, it is determined whether the slider image designates the starting point height, and when the starting point height is designated, the region division is performed based on the starting point height, the image height and the notch background image, and the interest background image is determined. The region division obtains the interesting background image for reducing unnecessary background interference, and is convenient for more accurately and efficiently carrying out notch positioning. And then preprocessing based on the slider image and the interest background image to obtain a preprocessed original slider image and a gray notch background image.
Further, in order to improve accuracy of notch positioning and enable a notch positioning method of a slide verification code to have stronger robustness, in the embodiment of the present application, searching and positioning are performed based on a slide contour and a texture edge map, so as to obtain a notch position corresponding to a notch, including:
taking the profile of the sliding block as a mask in searching and positioning, acquiring a sliding step length corresponding to the profile of the sliding block, and controlling the mask to slide according to the sliding step length;
after the mask slides, calculating based on the mask and the texture edge map to obtain similarity information; wherein the target slip is any one slip of all slips of the mask;
After the mask finishes all sliding, obtaining similarity distribution information based on the similarity information of each target sliding;
and carrying out positioning analysis based on the similarity distribution information, and determining the notch position corresponding to the notch.
For the embodiment of the application, because the texture edge map has dense texture information, if the texture edge map and the slider region corresponding to the slider are used for searching and positioning, the position failure of the searching gap can be caused by larger noise interference, so that the accuracy of positioning the image gap is low. Therefore, in order to improve the accuracy of notch positioning and enable the notch positioning method of the slide block verification code to have strong robustness, the slide block contour and texture edge map are used for searching and positioning, and the notch position corresponding to the notch is obtained.
Specifically, the profile of the sliding block is used as a mask in searching and positioning, namely, the mask is used for shielding noise in the sliding block area, so that noise interference on notch positioning caused by complex texture information in the sliding block area and texture edge map is avoided. Then, notch positioning is carried out based on the mask and the texture edge map, the mask slides according to the sliding step length corresponding to the profile of the sliding block in the notch positioning process, calculation is carried out based on the mask and the texture edge map after each sliding is completed, and the matching condition of the current position of the texture edge map and the mask is determined and recorded as similarity information. The size of the sliding step is related to the positioning precision and the size of the sliding block, so the sliding block outlines of different sliding blocks correspond to different sliding step sizes, and the corresponding relation between the sliding block outlines and the sliding step sizes is prestored in the electronic equipment. For the process of computing for the mask and texture edge map, the computation includes: logic calculation and notch similarity calculation, wherein a mask is applied to the texture edge map, namely, a mask application image after logic operation is obtained by carrying out logic operation on the mask and the texture edge map pixel by pixel; then, the similarity between the mask and the texture edge map is calculated based on the mask application image by adopting a pixel level comparison mode, so that similarity information is obtained, for example, a measurement method such as SSD (Sum of Squared Differences, sum of squares) or NCC (Normalized Cross Correlation ) is obtained. Then, after the mask has completed all the sliding operations, similarity distribution information is obtained based on the similarity information of each sliding operation, where the similarity distribution information is used to characterize the similarity between different positions of the texture edge map and the mask, and preferably, the similarity distribution information is displayed in the form of a correlation distribution map. Finally, positioning analysis is performed based on the similarity distribution information, a notch position corresponding to the notch is determined, namely, a correlation distribution diagram is analyzed, a position corresponding to a peak value in the correlation distribution diagram is determined to be the notch position corresponding to the notch, and the notch position is the left edge abscissa of the matching position.
It can be seen that, in the embodiment of the present application, in order to improve accuracy of notch positioning and make a notch positioning method of a slide verification code have stronger robustness, search positioning is performed based on a slide contour and a texture edge map to obtain a notch position corresponding to a notch, that is, the slide contour is used as a mask in search positioning, a sliding step length corresponding to the slide contour is obtained, sliding of the mask is controlled according to the sliding step length, and when the mask performs target sliding, calculation is performed based on the mask and the texture edge map to obtain similarity information; after the mask finishes all sliding, similarity distribution information is obtained based on the similarity information of each target sliding, positioning analysis is carried out based on the similarity distribution information, and the notch position corresponding to the notch is determined.
Further, in order to adapt to various complex situations, on the basis of maintaining higher positioning accuracy, the computing efficiency is improved, in the embodiment of the present application, after the mask slides, computing is performed based on the mask and the texture edge map, and after similarity information is obtained, the method further includes:
step length adjustment analysis is carried out based on the similarity information, and a step length analysis result is obtained;
when the step length analysis result is the adjustment step length, the adjustment sliding step length is determined based on the similarity information and the size of the sliding block outline, and the mask is controlled to slide according to the adjustment sliding step length.
For the embodiment of the application, in the process of searching and positioning based on the profile of the sliding block and the texture edge map, the sliding of the mask can be controlled according to the sliding step length, the selection of the sliding step length which is consistent with the current actual situation can ensure that the mask can better capture the details and the characteristics of the notch in the sliding process, and meanwhile, the proper sliding step length can reduce the sliding times of the mask, so that the calculated amount and the processing time are reduced. In the process of searching and positioning, the embodiment of the application adopts a dynamic step length mode, namely, the local characteristics of the texture edge map, the size and the shape of the notch and other factors are timely adjusted to adapt to various complex conditions, and the calculation efficiency is improved on the basis of keeping higher positioning precision.
Specifically, comparing the similarity information with a similarity threshold, and when the similarity information is smaller than the similarity threshold, representing that the similarity between the mask and the texture edge map in the region is low, namely, the distance between the current position and the notch is far, determining that the step size analysis result is not to adjust the step size, and sliding according to the preset larger sliding step size; when the similarity information is not smaller than the similarity threshold value, the similarity between the mask and the texture edge map in the region is high, namely, the distance between the current position and the notch is relatively short, the step size analysis result is determined to be an adjustment step size, the sliding step size of the mask is reduced to slide, and the accuracy of notch positioning is improved. Furthermore, when the step size analysis result is the adjustment step size, step size adjustment analysis is performed based on the similarity information and the size of the slider profile, and the adjustment sliding step size is determined, and various ways of step size adjustment analysis are provided. In one implementation manner, the sliding step is reduced according to a fixed value, and the correspondence between the contour size and the fixed value is stored in the electronic device in advance, so that a target fixed value corresponding to the contour size of the sliding block is selected, and then the fixed value is subtracted on the basis of the original sliding step to obtain the sliding step to be adjusted, so that the purpose of reducing the sliding step is achieved. In another implementation manner, the reduced step size ratio is determined based on the similarity information and the size of the slider contour, where the correspondence between the similarity information, the size of the slider contour, and the reduced step size ratio is preset, and of course, the user may also adjust the sliding step size according to the reduced step size ratio based on the original sliding step size, to obtain the adjusted sliding step size. For example, when the similarity information is relatively high and the size of the slider profile is relatively small, the reduction step size ratio is set to a small value so as to more finely adjust the sliding step size. Finally, the mask is controlled to slide according to the sliding step length.
It can be seen that, in the embodiment of the present application, step adjustment analysis is performed based on the similarity information, so as to obtain a step analysis result, and when the step analysis result is an adjustment step, the adjustment sliding step is determined based on the similarity information and the size of the slider profile, and the mask is controlled to slide according to the adjustment sliding step. The sliding step length is adjusted timely based on local characteristics of the texture edge map, the size and the shape of the notch and other factors in a dynamic step length mode, so that the method is suitable for various complex conditions, and the calculation efficiency is improved on the basis of keeping higher positioning accuracy.
Further, in order to improve accuracy and efficiency of notch positioning, in this embodiment of the present application, a determination manner of a sliding step length includes:
acquiring positioning accuracy, and determining a first sliding step length based on the positioning accuracy;
determining a second sliding step based on the size of the slider profile;
and integrating the first sliding step length and the second sliding step length to finally determine the sliding step length.
For the embodiment of the application, the positioning accuracy represents the accuracy degree between the positioned notch position and the actual notch position, is used for measuring the accuracy and the reliability of a notch positioning algorithm, and for the positioning accuracy, a user can set the positioning accuracy according to the actual requirement, so that the embodiment of the application is not limited any more. Then, based on the positioning precision, a first sliding step length is determined, namely, a first corresponding relation between the positioning precision and the sliding step length is stored in the electronic equipment in advance, and the first sliding step length matched with the positioning precision is rapidly and accurately determined by utilizing the first corresponding relation. It is easy to understand that when the positioning accuracy is high, the requirement of the characterization user on the notch positioning algorithm is high, and a smaller sliding step length is required to be selected so as to improve the accuracy of notch positioning; when the positioning accuracy is low, the requirements of the characterization user on the notch positioning algorithm are low, and a larger sliding step length can be selected so as to improve the notch positioning efficiency. Meanwhile, based on the size of the profile of the sliding block, a second sliding step size is determined, namely, a second corresponding relation between the profile size and the sliding step size is prestored in the electronic equipment, and the second sliding step size matched with the size of the profile of the sliding block is rapidly and accurately determined by utilizing the second corresponding relation. It is easy to understand that when the size of the profile of the slider is larger, a larger sliding step is selected, so that the slider can rapidly cover the whole searching area in the sliding process, and searching time and calculation amount are reduced; when the size of the profile of the sliding block is smaller, a smaller sliding step length is selected, so that the notch change in a small range can be captured, and the accuracy of notch positioning is improved. And then, integrating the first sliding step length and the second sliding step length to finally determine the sliding step length, wherein the mode of finally determining the sliding step length is not limited any more in the embodiment of the application. In one possible implementation, the average of the first sliding step and the second sliding step is taken as the final sliding step. The sliding step length is determined by combining the positioning precision and the size of the profile of the sliding block, and the accuracy and the efficiency of notch positioning are improved by the proper sliding step length.
It can be seen that, in the embodiment of the present application, based on the positioning accuracy, the first sliding step length is determined, and based on the size of the slider profile, the second sliding step length is determined, and finally, the first sliding step length and the second sliding step length are integrated, and finally, the sliding step length is determined. The sliding step length is determined by combining the positioning precision and the size of the profile of the sliding block, and the accuracy and the efficiency of notch positioning are improved by the proper sliding step length.
Further, in the embodiment of the present application, morphological operations are performed based on the original slider image to obtain a target slider image, including:
and performing corrosion operation based on the original slider image to obtain a corroded target slider image.
For the embodiment of the application, the corrosion operation can remove noise and small details in the original slider image, so that the edge of the slider is clearer, and meanwhile, compared with the original slider image, the target slider image after the corrosion operation is reduced, so that the slider profile corresponding to the slider can be determined conveniently by using the original slider image and the target slider image.
Therefore, in the embodiment of the application, in order to facilitate the subsequent determination of the slider profile corresponding to the slider by using the original slider image and the target slider image, the etching operation is performed based on the original slider image, so as to obtain the etched target slider image.
The above embodiment describes a method for positioning a notch of a verification code of a slider from the perspective of a method flow, and the following embodiment describes a device for positioning a notch of a verification code of a slider from the perspective of a virtual module or a virtual unit, specifically the following embodiment.
The embodiment of the application provides a notch positioning device of slider verification code, as shown in fig. 3, the notch positioning device of slider verification code may specifically include:
the preprocessing module 210 is configured to obtain a slider image and a notch background image, and perform preprocessing based on the slider image and the notch background image to obtain a preprocessed original slider image and a preprocessed gray notch background image, where the original slider image is a binarized image;
a morphological operation module 220, configured to perform morphological operations based on the original slider image to obtain a target slider image;
the edge detection profile searching module 230 is configured to perform mask operation based on the original slider image and the target slider image, determine a slider profile corresponding to the slider image, and perform edge detection based on the gray notch background image, so as to obtain a texture edge map corresponding to the notch background image;
the searching and positioning module 240 is configured to perform searching and positioning based on the contour of the slide block and the texture edge map, so as to obtain a notch position corresponding to the notch, where the notch is a notch with the same rotation angle as the slide block image in the notch background image.
For the embodiment of the application, preprocessing is performed based on the slider image and the notch background image, and the preprocessed original slider image and gray notch background image are obtained. Then, morphological operation is carried out based on the original slider image to obtain a target slider image, mask operation is carried out based on the original slider image and the target slider image to determine the slider profile corresponding to the slider image, and meanwhile, edge detection is carried out based on the gray notch background image to obtain a texture edge map corresponding to the notch background image. And finally, searching and positioning based on the texture edge map corresponding to the slide block contour and the notch background image to obtain the notch position corresponding to the notch. By means of the method, the slide block contour of the slide block is utilized to search and position in the notch background image, unnecessary noise interference is ignored, and accuracy of notch positioning can be improved.
In one possible implementation manner of the embodiment of the present application, when performing preprocessing based on the slider image and the notch background image to obtain the preprocessed original slider image and the gray notch background image, the preprocessing module 210 is configured to:
gray conversion is carried out based on the notch background image, so that a gray notch background image is obtained;
Channel detection is carried out based on the slider image, when the slider image comprises an alpha channel, the alpha channel in the slider image is obtained, and the original slider image after preprocessing is obtained based on the alpha channel;
when the slider image does not include an alpha channel, performing multidimensional operation based on the slider image to obtain a preprocessed original slider image, wherein the multidimensional operation comprises: gray conversion, denoising and binarization.
According to one possible implementation manner of the embodiment of the application, the notch positioning device of the slide block verification code further comprises:
the region dividing module is used for judging whether the starting point height is designated by the slider image, acquiring the image height of the slider image when the starting point height is designated, and dividing the region based on the starting point height, the image height and the notch background image to determine an interest background image, wherein the interest background image is an image region consistent with the image height in the gray notch background image;
accordingly, when performing preprocessing based on the slider image and the notch background image to obtain the preprocessed original slider image and the gray-scale notch background image, the preprocessing module 210 is configured to:
preprocessing is carried out based on the slider image and the interest background image, and the preprocessed original slider image and the preprocessed gray notch background image are obtained.
In one possible implementation manner of the embodiment of the present application, when performing the searching and positioning based on the slider contour and the texture edge map, the searching and positioning module 240 is configured to:
taking the profile of the sliding block as a mask in searching and positioning, acquiring a sliding step length corresponding to the profile of the sliding block, and controlling the mask to slide according to the sliding step length;
after the mask slides, calculating based on the mask and the texture edge map to obtain similarity information; wherein the target slip is any one slip of all slips of the mask;
after the mask finishes all sliding, obtaining similarity distribution information based on the similarity information of each target sliding;
and carrying out positioning analysis based on the similarity distribution information, and determining the notch position corresponding to the notch.
According to one possible implementation manner of the embodiment of the application, the notch positioning device of the slide block verification code further comprises:
the sliding step length adjustment module is used for carrying out step length adjustment analysis based on the similarity information to obtain a step length analysis result;
when the step length analysis result is the adjustment step length, the adjustment sliding step length is determined based on the similarity information and the size of the sliding block outline, and the mask is controlled to slide according to the adjustment sliding step length.
According to one possible implementation manner of the embodiment of the application, the notch positioning device of the slide block verification code further comprises:
the sliding step length determining module is used for obtaining positioning accuracy and determining a first sliding step length based on the positioning accuracy;
determining a second sliding step based on the size of the slider profile;
and integrating the first sliding step length and the second sliding step length to finally determine the sliding step length.
In one possible implementation manner of the embodiment of the present application, when performing morphological operations based on the original slider image to obtain the target slider image, the morphological operation module 220 is configured to:
and performing corrosion operation based on the original slider image to obtain a corroded target slider image.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, a specific working process of the notch positioning apparatus for a slide verification code described above may refer to a corresponding process in the foregoing method embodiment, which is not described herein again.
In an embodiment of the present application, as shown in fig. 4, an electronic device 300 shown in fig. 4 includes: a processor 301 and a memory 303. Wherein the processor 301 is coupled to the memory 303, such as via a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that, in practical applications, the transceiver 304 is not limited to one, and the structure of the electronic device 300 is not limited to the embodiment of the present application.
The processor 301 may be a CPU (Central Processing Unit ), general purpose processor, DSP (Digital Signal Processor, data signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic device, transistor logic device, hardware components, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules, and circuits described in connection with this disclosure. Processor 301 may also be a combination that implements computing functionality, e.g., comprising one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.
Bus 302 may include a path to transfer information between the components. Bus 302 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect Standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. Bus 302 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 4, but not only one bus or type of bus.
The Memory 303 may be, but is not limited to, a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory ), a CD-ROM (Compact Disc Read Only Memory, compact disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
The memory 303 is used for storing application program codes for executing the present application and is controlled to be executed by the processor 301. The processor 301 is configured to execute the application code stored in the memory 303 to implement what is shown in the foregoing method embodiments.
Among them, electronic devices include, but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. But may also be a server or the like. The electronic device shown in fig. 4 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments herein.
The present application provides a computer readable storage medium having a computer program stored thereon, which when run on a computer, causes the computer to perform the corresponding method embodiments described above. Compared with the related art, the method and the device for preprocessing the slider image and the notch background image have the advantages that preprocessing is performed based on the slider image and the notch background image, and the preprocessed original slider image and the preprocessed gray notch background image are obtained. Then, morphological operation is carried out based on the original slider image to obtain a target slider image, mask operation is carried out based on the original slider image and the target slider image to determine the slider profile corresponding to the slider image, and meanwhile, edge detection is carried out based on the gray notch background image to obtain a texture edge map corresponding to the notch background image. And finally, searching and positioning based on the texture edge map corresponding to the slide block contour and the notch background image to obtain the notch position corresponding to the notch. By means of the method, the slide block contour of the slide block is utilized to search and position in the notch background image, unnecessary noise interference is ignored, and accuracy of notch positioning can be improved.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
The foregoing is only a partial embodiment of the present application and it should be noted that, for a person skilled in the art, several improvements and modifications can be made without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims (10)
1. The notch positioning method of the slide block verification code is characterized by comprising the following steps of:
acquiring a slider image and a notch background image, and preprocessing the slider image and the notch background image to obtain a preprocessed original slider image and a preprocessed gray notch background image, wherein the original slider image is a binarized image;
performing morphological operation based on the original slider image to obtain a target slider image;
performing mask operation based on the original slider image and the target slider image, determining a slider contour corresponding to the slider image, and performing edge detection based on the gray level notch background image to obtain a texture edge map corresponding to the notch background image;
and searching and positioning based on the profile of the sliding block and the texture edge map to obtain a notch position corresponding to the notch, wherein the notch is the notch with the same rotation angle as the sliding block image in the notch background image.
2. The method for locating a notch of a slide verification code according to claim 1, wherein the preprocessing based on the slide image and the notch background image to obtain a preprocessed original slide image and a gray-scale notch background image includes:
gray conversion is carried out based on the notch background image, so that a gray notch background image is obtained;
channel detection is carried out based on the slider image, when the slider image comprises an alpha channel, the alpha channel in the slider image is obtained, and a preprocessed original slider image is obtained based on the alpha channel;
and when the slider image does not comprise the alpha channel, performing multidimensional operation based on the slider image to obtain a preprocessed original slider image, wherein the multidimensional operation comprises: gray conversion, denoising and binarization.
3. The method for locating a notch of a slide verification code according to claim 1, wherein the preprocessing is performed based on the slide image and the notch background image, and before the preprocessed original slide image and gray-scale notch background image are obtained, the method further comprises:
judging whether the slider image designates a starting point height, when the starting point height is designated, acquiring the image height of the slider image, and dividing the area based on the starting point height, the image height and the notch background image to determine an interest background image, wherein the interest background image is an image area consistent with the image height in the gray notch background image;
Correspondingly, the preprocessing is performed based on the slider image and the notch background image to obtain a preprocessed original slider image and a preprocessed gray notch background image, which comprises the following steps:
and preprocessing based on the slider image and the interest background image to obtain a preprocessed original slider image and a gray notch background image.
4. The method for locating a notch of a slide verification code according to claim 1, wherein the step of locating based on the slide profile and the texture edge map to obtain a notch position corresponding to the notch comprises:
taking the sliding block outline as a mask in searching and positioning, acquiring a sliding step length corresponding to the sliding block outline, and controlling the mask to slide according to the sliding step length;
after the mask slides, calculating based on the mask and the texture edge map to obtain similarity information; wherein the target slide is any one slide of all slides of the mask;
after the mask finishes all sliding, obtaining similarity distribution information based on the similarity information of each target sliding;
and carrying out positioning analysis based on the similarity distribution information, and determining the notch position corresponding to the notch.
5. The method for positioning a notch of a sliding block verification code according to claim 4, wherein after the mask slides, the method further comprises, after calculating based on the mask and the texture edge map, obtaining similarity information:
step length adjustment analysis is carried out based on the similarity information, and a step length analysis result is obtained;
and when the step length analysis result is an adjustment step length, determining an adjustment sliding step length based on the similarity information and the size of the sliding block outline, and controlling a mask to slide according to the adjustment sliding step length.
6. The method for locating a notch of a sliding block verification code according to claim 4, wherein the determining manner of the sliding step length includes:
acquiring positioning accuracy, and determining a first sliding step length based on the positioning accuracy;
determining a second sliding step based on the size of the slider profile;
and integrating the first sliding step length and the second sliding step length to finally determine the sliding step length.
7. The method for locating a notch of a slide verification code according to claim 1, wherein the performing morphological operations based on the original slide image to obtain a target slide image includes:
And performing corrosion operation based on the original slider image to obtain a corroded target slider image.
8. The utility model provides a breach positioner of slider identifying code which characterized in that includes:
the preprocessing module is used for acquiring a slider image and a notch background image, preprocessing the slider image and the notch background image based on the slider image and the notch background image to obtain a preprocessed original slider image and a preprocessed gray-scale notch background image, wherein the original slider image is a binarized image;
the morphological operation module is used for performing morphological operation based on the original slider image to obtain a target slider image;
the edge detection contour searching module is used for performing mask operation based on the original slider image and the target slider image, determining a slider contour corresponding to the slider image, and performing edge detection based on the gray level notch background image to obtain a texture edge image corresponding to the notch background image;
the searching and positioning module is used for searching and positioning based on the profile of the sliding block and the texture edge graph to obtain a notch position corresponding to the notch, wherein the notch is the notch with the same rotation angle as the sliding block image in the notch background image.
9. An electronic device, comprising:
at least one processor;
a memory;
at least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: a notch locating method of executing a slider verification code as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed in a computer, causes the computer to perform the method of notch location of a slider verification code as claimed in any one of claims 1 to 7.
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