CN109815895B - Cloud computing-based method and device for identifying fingerprint under screen - Google Patents
Cloud computing-based method and device for identifying fingerprint under screen Download PDFInfo
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- CN109815895B CN109815895B CN201910062582.9A CN201910062582A CN109815895B CN 109815895 B CN109815895 B CN 109815895B CN 201910062582 A CN201910062582 A CN 201910062582A CN 109815895 B CN109815895 B CN 109815895B
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Abstract
The invention provides a cloud computing-based method for identifying fingerprints under a screen, which is used for networking mobile payment equipment with a full screen and connecting the mobile payment equipment with an electronic terminal and a cloud server cluster; reading the data in the first confirmation module by the second confirmation module; acquiring a traffic signal by determining data authentication; encrypting the relevant information of the fingerprints with the failed local identification and then sending the encrypted information to the cloud server cluster; decrypting the received related information of the fingerprint, and sending the decrypted related information of the fingerprint and the reserved fingerprint information to the mobile payment equipment; comparing and displaying the reserved fingerprint and the fingerprint photo to be identified, and sending a comparison result to the cloud server cluster; an instruction is received and payment will be completed. Therefore, the rapidness and the usability of the identification of the finger print under the screen are improved. The disclosure also provides a device for identifying the fingerprint under the screen based on the cloud computing.
Description
Technical Field
The disclosure relates to the technical field of mobile payment and the technical field of image recognition, in particular to a method and a device for recognizing fingerprints under a screen based on cloud computing.
Background
In the prior art, the cash register modes applied to a plurality of scenes are pos machine card swiping modes, cash modes and the like. The electronic terminal is opened for the payer in a few scenes, static two-dimensional codes provided by a plurality of scenes are scanned (in the process of manufacturing and image acquisition of static payment images, impurities, interference and the like are inevitably mixed in the images, so that the problems of noise, blurring and uneven gray scale exist in the images), information of the two-dimensional codes is read, and payment operation is completed. The cash register mode enables the cash register mode to be single, and due to the fact that a plurality of scenes are different in real environment, higher requirements are provided for payment diversity. The existing scheme does not have the diversity and flexibility of payment.
Disclosure of Invention
In order to solve the technical problems in the prior art, the disclosed embodiment provides a method and a device for identifying fingerprints under a screen based on cloud computing, wherein a mobile payment device with a full screen is networked, and the mobile payment device, an electronic terminal for controlling the mobile payment device and a cloud server cluster are connected, the mobile payment device comprises a fingerprint sensing module arranged at a preset distance below the full screen, a system for payment software operation and a verification device wirelessly connected with the mobile payment device, wherein the system comprises a receiving module, a connecting module and a first confirmation module which are arranged on the mobile payment device, the receiving module is used for receiving fingerprint data of a user, the verification device comprises a trigger switch, a wireless signal module, a data processing module and a data storage module, and a second confirmation module is arranged in the data processing module, the data storage module is internally stored with determined data; when the mobile payment device is connected with the verification device, the second confirmation module reads the data in the first confirmation module; obtaining a pass signal through a certain data authentication stored in a data storage module, wherein when the fingerprint identification fails for M times continuously or the identification fails after N seconds continuously, the fingerprint identification fails; encrypting the relevant information of the fingerprint with the failure of local identification, and sending the encrypted relevant information to the cloud server cluster, wherein the relevant information of the fingerprint comprises a fingerprint photo to be identified and a unique identification code of a person to be identified; decrypting the received related information of the fingerprint, and sending the decrypted related information of the fingerprint and the reserved fingerprint information to the mobile payment equipment, wherein the reserved fingerprint information is obtained according to the unique identification code of the person to be identified; on the basis of a screen of the mobile payment device, comparing and displaying the reserved fingerprint and the fingerprint photo to be identified, and sending a comparison result to the cloud server cluster; and receiving a payment channel opening instruction issued by the cloud server cluster, and feeding the instruction back to a connection module of the system for the payment software to run so that the payment software runs to complete payment. Therefore, the rapidness and the usability of the identification of the finger print under the screen are improved.
In a first aspect, an embodiment of the present disclosure provides a cloud computing-based method for identifying an underscreen fingerprint, including the following steps: the mobile payment device with the full screen is networked, and the mobile payment device, the electronic terminal for controlling the mobile payment device and the cloud server cluster are connected, wherein the mobile payment device comprises a fingerprint sensing module arranged at a preset distance below the full screen, a system for payment software running and a verification device in wireless connection with the mobile payment device, wherein the system is composed of a receiving module, a connecting module and a first confirmation module, the receiving module is arranged on the mobile payment device, the system is used for receiving fingerprint data of a user, the verification device comprises a trigger switch, a wireless signal module, a data processing module and a data storage module, the second confirmation module is arranged in the data processing module, and the data storage module stores determined data; reading, by the second confirmation module, data in the first confirmation module when the mobile payment device is connected to the verification apparatus; obtaining a pass signal through the authentication of the determined data stored in the data storage module, wherein when the fingerprint identification fails for M times continuously or the identification fails after N seconds of continuous identification, the fingerprint identification failure is defined; encrypting relevant information of a fingerprint with a failed local identification and then sending the encrypted relevant information to the cloud server cluster, wherein the relevant information of the fingerprint comprises a fingerprint photo to be identified and a unique identification code of a person to be identified; decrypting the received related information of the fingerprint, and sending the decrypted related information of the fingerprint and reserved fingerprint information to the mobile payment equipment, wherein the reserved fingerprint information is obtained according to a unique identification code of a person to be identified; on the basis of the screen of the mobile payment equipment, comparing and displaying the reserved fingerprint and the fingerprint photo to be identified, and sending a comparison result to the cloud server cluster; and receiving a payment channel opening instruction issued by the cloud server cluster, and feeding the instruction back to the connection module of the system for payment software operation so as to enable the payment software to complete payment after operation.
In one embodiment, the connecting the mobile payment device, the electronic terminal controlling the mobile payment device, and the cloud server cluster includes: connecting at least one mobile payment device arranged in a plurality of scenes with a cloud server cluster through WIFI; and connecting at least one mobile payment device arranged in a plurality of scenes with the electronic terminal for controlling the mobile payment device through Bluetooth connection.
In one embodiment, the method further comprises the following steps: acquiring capability values corresponding to a plurality of protocol stacks in the mobile payment equipment and a channel identifier currently bound with the protocol stack with the maximum value of the capability values; selecting a corresponding channel according to the acquired channel identifier; and completing the payment operation applicable to the mobile payment device through the selected channel.
In one embodiment, the method further comprises the following steps: the method comprises the steps of obtaining the illumination intensity of a screen of the electronic terminal and the illumination intensity reflected by the screen of the electronic terminal in a preset time period, and constructing a screen illumination intensity database aiming at the electronic terminal and a screen reflection illumination intensity database aiming at the electronic terminal.
In one embodiment, the method further comprises the following steps: work as the fingerprint response module is monitored and is applyed in during the appointed regional press data of screen, utilize the fingerprint response module gathers the regional first fingerprint identification data of first fingerprint, first fingerprint identification data includes: the touch screen comprises a first fingerprint area, a second fingerprint area and a touch screen, wherein the first fingerprint area comprises a vertical deformation amount of each pixel point in the first fingerprint area, a two-dimensional coordinate of each pixel point on the screen and a pressing force born by the first fingerprint area, and the first fingerprint area is a contact area of a finger and the screen when the pressing action occurs.
In one embodiment, the method further comprises the following steps: comparing the first fingerprint identification data with the determination data stored in advance to confirm whether fingerprint authentication is passed.
In one embodiment, the method further comprises the following steps: respond to received fingerprint initialization instruction, the fingerprint response module monitors to exert in when the pressing action of the appointed area of screen, utilize the fingerprint response module gathers the regional second fingerprint identification data of second fingerprint, second fingerprint identification data includes: the vertical deformation amount of each pixel point in the second fingerprint area, the two-dimensional coordinate of each pixel point on the screen, and the pressing force born by the second fingerprint area are the contact area of the fingerprint and the screen when the pressing action occurs after the received fingerprint initialization instruction is received; and responding to the received fingerprint saving instruction, and storing the second fingerprint identification data as the determination data through the data storage module.
In a second aspect, the disclosed embodiments provide a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the method described above.
In a third aspect, the disclosed embodiments provide a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method described above when executing the program.
In a fourth aspect, an embodiment of the present disclosure provides an apparatus for identifying an underscreen fingerprint in cloud computing, where the apparatus includes: the networking and connecting module is used for networking the mobile payment equipment with a full screen and connecting the mobile payment equipment, the electronic terminal for controlling the mobile payment equipment and the cloud server cluster, the mobile payment equipment comprises a fingerprint sensing module which is arranged at a preset distance below the full-face screen, a system for payment software operation consisting of a receiving module, a connecting module and a first confirmation module which are installed on the mobile payment device, and a verification device which is wirelessly connected with the mobile payment device, the receiving module is used for receiving fingerprint data of a user, the verification device comprises a trigger switch, a wireless signal module, a data processing module and a data storage module, a second confirmation module is arranged in the data processing module, and the data storage module stores the determined data; the reading module is used for reading the data in the first confirmation module by the second confirmation module when the mobile payment device is connected with the verification device; the pass signal acquisition module is used for acquiring pass signals through the authentication of the determined data stored in the data storage module, wherein when the fingerprint identification fails for M times continuously or the identification fails after N seconds continuously, the fingerprint identification fails; the first sending module is used for encrypting relevant information of a fingerprint with a failed local identification and then sending the encrypted relevant information to the cloud server cluster, wherein the relevant information of the fingerprint comprises a fingerprint photo to be identified and a unique identification code of a person to be identified; the receiving module is used for decrypting the received related information of the fingerprint and sending the decrypted related information of the fingerprint and reserved fingerprint information to the mobile payment equipment, wherein the reserved fingerprint information is obtained according to a unique identification code of a person to be identified; the second sending module is used for comparing and displaying the reserved fingerprint and the fingerprint photo to be identified on the basis of the screen of the mobile payment device and sending a comparison result to the cloud server cluster; and the payment channel opening module is used for receiving a payment channel opening instruction issued by the cloud server cluster and feeding the instruction back to the connection module of the system for the payment software to operate so as to enable the payment software to operate and complete payment.
The invention provides a cloud computing-based method and a cloud computing-based device for identifying fingerprints under a screen, which are used for networking a mobile payment device with a full screen and connecting the mobile payment device, an electronic terminal for controlling the mobile payment device and a cloud server cluster, wherein the mobile payment device comprises a fingerprint sensing module arranged at a preset distance below the full screen, a system for payment software to run and a verification device in wireless connection with the mobile payment device, wherein the system consists of a receiving module, a connecting module and a first confirmation module which are arranged on the mobile payment device; when the mobile payment device is connected with the verification device, the second confirmation module reads the data in the first confirmation module; obtaining a pass signal through a certain data authentication stored in a data storage module, wherein when the fingerprint identification fails for M times continuously or the identification fails after N seconds continuously, the fingerprint identification fails; encrypting the relevant information of the fingerprint with the failure of local identification, and sending the encrypted relevant information to the cloud server cluster, wherein the relevant information of the fingerprint comprises a fingerprint photo to be identified and a unique identification code of a person to be identified; decrypting the received related information of the fingerprint, and sending the decrypted related information of the fingerprint and the reserved fingerprint information to the mobile payment equipment, wherein the reserved fingerprint information is obtained according to the unique identification code of the person to be identified; on the basis of a screen of the mobile payment device, comparing and displaying the reserved fingerprint and the fingerprint photo to be identified, and sending a comparison result to the cloud server cluster; and receiving a payment channel opening instruction issued by the cloud server cluster, and feeding the instruction back to a connection module of the system for the payment software to run so that the payment software runs to complete payment. Therefore, the rapidness and the usability of the identification of the finger print under the screen are improved. The method comprises the steps of firstly networking, and finishing fingerprint identification verification and subsequent payment operation based on the cooperative operation of multiple modules under a screen. Therefore, the fingerprint can be efficiently, accurately and quickly identified under the networking environment supporting the multi-form payment system based on a plurality of scene conditions, the payment operation can be quickly, efficiently and flexibly completed, and the system has safety and applicability.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings needed to be used in the description of the embodiments are briefly introduced as follows:
fig. 1 is a schematic flow chart illustrating steps of a cloud-computing-based method for identifying an off-screen fingerprint according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an off-screen fingerprint identification device based on cloud computing in an embodiment of the present invention.
Detailed Description
The present application will now be described in further detail with reference to the accompanying drawings and examples.
In the following description, the terms "first" and "second" are used for descriptive purposes only and are not intended to indicate or imply relative importance. The following description provides embodiments of the disclosure, which may be combined or substituted for various embodiments, and this application is therefore intended to cover all possible combinations of the same and/or different embodiments described. Thus, if one embodiment includes feature A, B, C and another embodiment includes feature B, D, then this application should also be considered to include an embodiment that includes one or more of all other possible combinations of A, B, C, D, even though this embodiment may not be explicitly recited in text below.
In order to make the objects, technical solutions and advantages of the present invention more clearly understood, specific embodiments of a method and an apparatus for identifying an underscreen fingerprint based on cloud computing according to the present invention are described in further detail below by way of examples and with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, a schematic flow chart of an off-screen fingerprint identification method based on cloud computing in an embodiment specifically includes the following steps:
It should be noted that the system for running the payment software is a sandbox system for running the payment software, the trigger switch is a thin film piezoelectric sensor, and the data processing module includes a processor and an EPROM unit provided with a program. Further, it should be noted that, when the sandbox system is initialized or initially connected to the verification device, the user may designate a certain image, audio or video digital file to be converted into an MD5 value through the connection module of the sandbox system, and then the MD5 value is written into the first confirmation module and the data storage module of the verification device, respectively, as confirmation data.
Specifically, connecting the mobile payment device, the electronic terminal controlling the mobile payment device, and the cloud server cluster includes: connecting at least one mobile payment device arranged in a plurality of scenes with a cloud server cluster through WIFI; and connecting at least one mobile payment device arranged in a plurality of scenes with an electronic terminal for controlling the mobile payment device through Bluetooth connection.
Preferably, the spine type mobile payment equipment which is arranged in a plurality of scenes and is provided with a common window of the liquid crystal windows and the light guide plate windows is networked, and the mobile payment equipment which is arranged in the plurality of scenes and supports the cooperative application of the input equipment and the printing device, the electronic terminal for controlling the mobile payment equipment and the cloud server cluster are connected. The mobile payment equipment supporting the cooperative application with the input equipment and the printing device consists of a code scanning lamp bowl, a liquid crystal window and a common window of a light guide plate window. Specifically, the common window of the liquid crystal window and the light guide plate window specifically comprises a common window main body; a fixed window is arranged on the main body; the fixed window comprises a first characteristic window and a second characteristic window which are arranged in a crossed manner; at least one fixing device is arranged on each of the first characteristic window and the second characteristic window. The fixing device comprises a clamping hook and a clamping groove; the clamping hooks and the clamping grooves are respectively arranged on two opposite sides of the first characteristic window or the second characteristic window, and the liquid crystal window or the light guide plate window can be fixed through the clamping hooks after being clamped through the clamping grooves. In addition, the fixing device comprises hooks arranged in pairs, and each pair of hooks is respectively arranged on two opposite sides of the first characteristic window or the second characteristic window. The clamping hook comprises a fixed connecting part and a clamping part; the fixed connecting part is fixedly connected with the common window main body; the clamping portion is fixedly arranged on one side of the fixed connecting portion. One side that main part was kept away from to joint portion is provided with the slip-in inclined plane, can make things convenient for the entering of light guide plate window or liquid crystal window. The side face of the clamping part close to the common window, namely one side of the light panel window or the liquid crystal window main body is vertical to the fixed connecting part. The fixed connecting part is made of elastic material. On different hooks, the distances between the clamping parts and the common window main body are different. The first characteristic window and the second characteristic window are coaxially arranged. A third characteristic window is also included; the third characteristic window is respectively communicated with the first characteristic window and the second characteristic window in a cross way; at least one fixing device is arranged on the third characteristic window.
In addition, the input device is an input keyboard which is cooperated with a desktop computer, or an input keyboard of a PC all-in-one machine, or a digital function keyboard with a calculation function and an auxiliary payment operation function. Printing device is the printer, specifically includes: the paper feeding machine comprises a machine body, wherein a paper feeding inlet and a printing outlet are arranged, a thermal printing module is arranged in the machine body, at least one low-temperature cooling cavity is arranged between the paper feeding inlet and the thermal printing module, and a laminating module, a cold pressing module and a cutting module are sequentially connected between the thermal printing module and the printing outlet through a transmission mechanism. Specifically, the at least one low-temperature cooling cavity is used for reducing the surface temperature of the paper by using cold air; the thermal printing module is used for printing paper and transmitting the printed paper to the film covering module; the film laminating module is used for receiving the paper transmitted by the thermal printing module, laminating the paper and transmitting the paper subjected to film laminating to the cold pressing module; the cold pressing module is used for receiving the paper transmitted by the film covering module, carrying out cold pressing on the paper on the surface of the film covering module and transmitting the cold-pressed paper to the cutting module; the cutting module is used for receiving the paper conveyed by the cold pressing module, cutting the paper according to the specification, and conveying the cut paper to the printing outlet. In addition, a low-temperature cooling cavity is arranged between the thermal printing module and the film covering module. In addition, still be provided with interconnect's display module, controller on the organism, thermal-sensitive printing module, tectorial membrane module, the module of colding pressing, tailor the module and all be connected with the controller and give the controller with operating condition, and the controller gives display module with operating condition transmission.
Further, it should be noted that the auxiliary payment operation function includes, but is not limited to: inquiring payment data, checking payment data, cancelling payment data and the like. Specifically, the connecting the mobile payment device supporting cooperative application with the input device and the printing device, the electronic terminal controlling the mobile payment device, and the cloud server cluster, which are arranged in a plurality of scenes, includes: connecting at least one mobile payment device arranged in a plurality of scenes with a cloud server cluster through WIFI; and connecting at least one mobile payment device arranged in a plurality of scenes with an electronic terminal for controlling the mobile payment device through Bluetooth connection. In addition, at least one mobile payment device arranged in a plurality of scenes can be connected with the electronic terminal for controlling the mobile payment device through wired connection. Therefore, the diversity and the multi-selectivity of the networking layout are improved.
Further, the cloud computing-based method for identifying the fingerprint under the screen provided by the disclosure further includes: acquiring capability values corresponding to a plurality of protocol stacks in the mobile payment equipment and a channel identifier currently bound with the protocol stack with the maximum value of the capability values; selecting a corresponding channel according to the acquired channel identifier; and completing the payment operation applicable to the mobile payment device through the selected channel.
It should be noted that the setting information required in the two-dimensional code is acquired; converting the acquired setting information into a binary file; carrying out information segmentation processing required by a structural link mode on the converted binary file to generate a plurality of different binary information with structural link characteristic characters, wherein the number of segments in the information segmentation processing required by the structural link mode on the converted binary file can be set by two-dimensional code numerical values in a range of 2-32 according to the size and application of set information; the binary file is disassembled into a plurality of corresponding parts within the range of 2-32, and corresponding start characters and end characters are respectively added before and after the binary file of each part which is disassembled; providing original binary coding information which is coded one by one for a coding part corresponding to each split part; a plurality of binary information which are different and have structural link characteristic characters are coded by two-dimensional codes which are encrypted or not one by one and are correspondingly sequenced, then information in commodity codes is obtained by combination, information conversion, encryption and sequencing are carried out according to the principle, and finally a plurality of two-dimensional code images which are sequenced according to a certain sequence are formed.
Furthermore, the generated two-dimensional code image suitable for the mobile payment equipment is intercepted, and after the two-dimensional code image is intercepted as a payment image, the payment image is divided; according to the Otsu algorithm, performing rough segmentation operation on the region of interest in the divided payment image, wherein the Otsu algorithm is to divide the original image into two images, namely a foreground image and a background image, by using a threshold value. Specifically, the prospect is: points, mass moments and average gray levels of the foreground under the current threshold are represented by n1, csum and m 1; background: the number of points, the mass moment and the average gray level of the background under the current threshold are represented by n2, sum-csum and m 2. When the optimal threshold is taken, the difference between the background and the foreground is the largest, and the key is how to select a standard for measuring the difference, namely an Otsu algorithm, namely the maximum between-class variance, which is represented by sb, and the maximum between-class variance which is represented by fmax. Further, regarding the sensitivity of Otsu's algorithm to noise and target size, it only produces better segmentation effect on images with a single peak between classes variance. When the size ratio of the target to the background is very different, the inter-class variance criterion function may present double peaks or multiple peaks, which is not good, but the greater amount of algorithm is the least time-consuming. Further, the formula for the Otsu algorithm is derived as: recording t as a segmentation threshold of the foreground and the background, wherein the number of foreground points accounts for w0 of the image proportion, and the average gray level is u 0; the number of background points is w1 in the image scale, and the average gray scale is u 1. The total average gray scale of the image is: u-w 0 u0+ w1 u 1. The variance of the foreground and background images can be expressed by the following formula:
g (w 0 (u0-u) (u0-u) + w1 (u1-u) (u1-u) (w 0) w1 (u0-u1) (u0-u 1). It should be noted that the above formula is a variance formula. The formula for g can be referred to in probability theory, i.e. the expression for sb as described below. When the variance g is maximum, the difference between the foreground and the background at this time can be considered as maximum, and the gray level t at this time is the optimal threshold sb — w0 — w1 (u1-u0) (u0-u 1).
Further, performing secondary segmentation on the roughly segmented payment image by using an active contour model of the gradient vector flow; and completing the segmentation operation suitable for the payment image by shape testing on the result obtained after the secondary segmentation operation.
Further, it should be noted that dividing the payment image includes: selecting a segmentation channel based on a statistical rule of payment image data of a training sample; selecting a segmentation threshold value in a segmentation channel, and performing foreground and background segmentation on the payment image; and carrying out communication area analysis according to the segmented foreground pixels and background pixels to obtain a qualified two-dimensional code area, wherein the payment image subblocks are divided in the qualified two-dimensional code area in a preset row and preset column dividing mode, and the preset row and the preset column are equivalent numerical values. Thereby providing the necessary data basis for subsequent rapid recognition of the payment image.
Further, selecting the split channel based on statistical rules of the payment image data of the training samples comprises: based on the statistical rules of the payment image data of the training samples, the distribution conditions of the image values in different color channels are obtained, and the color channel with the largest image value variance is obtained from the distribution conditions to form a segmentation channel. In addition, it should be further noted that selecting a segmentation threshold in a segmentation channel, and performing foreground and background segmentation on the payment image includes: obtaining a segmentation threshold value through a minimization algorithm in the Dajin algorithm; acquiring an image pixel value of a payment image; and performing dichotomy segmentation according to the image pixel value and the segmentation threshold value to obtain the foreground and the background. Further, it should be noted that, performing bisection segmentation according to the image pixel value and the segmentation threshold, and acquiring the foreground and the background includes: acquiring a region of which the image pixel value is higher than a segmentation threshold value as a foreground; and acquiring a region of which the image pixel value is lower than or equal to the segmentation threshold as a background.
Furthermore, performing connected region analysis according to the segmented foreground pixels and background pixels, and acquiring the two-dimensional code regions meeting the conditions includes: clustering the segmented foreground pixels and background pixels to form a communication area; selecting the area with the largest size and according with the prior position information in the communication area to form a two-dimensional code area according with the conditions, and aligning the two-dimensional code area with the two-dimensional code areaAnd outputting the two-dimensional code region meeting the conditions. Further, it should be noted that the performing of the segmentation operation suitable for the payment image by the shape test on the result obtained after the secondary segmentation operation includes: and completing the graph segmentation operation suitable for the payment image according to the result obtained after the secondary segmentation operation through an area test, wherein the area test is to judge whether the number of the pixel points in the region of interest meets a pixel point threshold interval of a preset normal two-dimensional code area. Furthermore, it should be noted that the performing of the segmentation operation applicable to the payment image by the shape test on the result obtained after the secondary segmentation operation includes: completing the graph segmentation operation suitable for the payment image by a simple malformation degree calculation formula gamma l/N on the result obtained after the rough segmentation operation through a malformation degree testpCalculating the degree of deformity of the region of interest, wherein l is the perimeter of the region of interest, and N ispThe number of pixel points in the region of interest is counted; presetting a high threshold gamma of degree of deformityT(ii) a When gamma is less than or equal to gammaTJudging that the result obtained after the rough segmentation operation passes the deformity degree test; when gamma > gammaTAnd then, carrying out secondary rough segmentation operation on the region of interest by the segmentation method of the active contour model based on the gradient vector flow, and completing the segmentation operation suitable for the payment image by shape testing on the result obtained after the secondary rough segmentation operation.
Further, when it is monitored that the payment event is triggered, it is determined whether an initial system of the mobile payment device supports a multi-modal payment system. The multi-form payment system supports code scanning payment and non-contact card swiping payment, and comprises a closed payment system and an open payment system. The closed payment system is a payment system which is formed by presetting a single scene, a single payment position and combining a virtual value storage card or a real value storage card; the open payment system is a payment system which is formed by presetting at least two scenes and at least two payment positions and combining a virtual stored value card or a real stored value card.
Further, it is understood that a closed payment system, such as a savings system in a retail store, may be used by a consumer to save money for later use, based on a stored value card (virtual or physical) that can only be held back at one store, and a mobile application may be deployed to allow the consumer to hold back the stored value. When the system is used, the QR code or the bar code is displayed at a point of sale, a user can store the value of the card infinitely, only money which is wanted to be spent in a specific merchant is stored, the financial information and the bank account exposure of the user are avoided, and the system is also an effective mode for arranging budget for specific types of consumption for the user. Such as groceries or restaurants, merchants typically combine customer loyalty with a closed payment system, such as a closed payment card, to keep customers back streaming. In addition, open payment systems, such as a savings system in a retail store, a savings system in a restaurant or grocery store, where the consumer may have a deposit for later use, may be based on a stored value card (virtual or real) that can be held back at multiple stores, and a mobile application may be deployed to allow the consumer to hold back the stored value. When the method is used, the QR code or the bar code is displayed at a point of sale, a user can store the value of the card infinitely and only stores money which the user wants to spend in a specific merchant, so that the compatibility and the data sharing of the financial information and the bank account of the user in a plurality of payment scenes and payment positions are facilitated, and the method is an effective way for the user to arrange budget for specific types of consumption. Such as groceries or restaurants, merchants typically combine customer consumption replacement with an open payment system, such as an open payment card, to allow customers to consume back-streams.
And 102, reading the data in the first confirmation module by the second confirmation module when the mobile payment device is connected with the verification device.
And 103, acquiring the pass signal through the determined data authentication stored in the data storage module. And defining fingerprint identification failure when the fingerprint identification fails for M times continuously or the identification fails after N seconds of continuous identification.
And 104, encrypting the relevant information of the fingerprint with the failure local identification, and sending the encrypted relevant information to the cloud server cluster, wherein the relevant information of the fingerprint comprises a fingerprint photo to be identified and a unique identification code of a person to be identified.
And 105, decrypting the received related information of the fingerprint, and sending the decrypted related information of the fingerprint and the reserved fingerprint information to the mobile payment equipment, wherein the reserved fingerprint information is obtained according to the unique identification code of the person to be identified.
And 106, comparing and displaying the reserved fingerprint and the fingerprint photo to be identified on the screen of the mobile payment device, and sending a comparison result to the cloud server cluster.
And step 107, receiving a payment channel opening instruction issued by the cloud server cluster, and feeding the instruction back to a connection module of the system for running the payment software so as to enable the payment software to run and complete payment.
It should be noted that, the method for identifying the fingerprint under the screen based on the cloud computing provided by the present disclosure includes: when fingerprint response module monitoring was applyed in the appointed regional press data of screen, utilized fingerprint response module to gather the regional first fingerprint identification data of first fingerprint, first fingerprint identification data includes: the vertical deformation quantity of every pixel point department in the first fingerprint region, the two-dimensional coordinate of every pixel point on the screen to and the pressure degree that the first fingerprint region bore, the contact area of finger and screen when the first fingerprint region takes place for pressing the action. Further, the first fingerprint identification data is compared with the pre-stored determination data to confirm whether the fingerprint authentication is passed.
Still further, an under-screen fingerprint identification verification apparatus proposed in the present disclosure further includes: respond to received fingerprint initialization instruction, when fingerprint response module monitoring was applyed the pressing action in the appointed area of screen, utilize fingerprint response module to gather the regional second fingerprint identification data of second fingerprint, second fingerprint identification data includes: the vertical deformation amount of each pixel point in the second fingerprint area, the two-dimensional coordinate of each pixel point on the screen and the pressing force born by the second fingerprint area are the contact area of the fingerprint and the screen when the pressing action occurs after the received fingerprint initialization instruction; and responding to the received fingerprint saving instruction, and storing the second fingerprint identification data as the determination data through the data storage module.
In addition, it should be further noted that the method for identifying the fingerprint under the screen based on the cloud computing provided by the present disclosure further includes: the method comprises the steps of obtaining the illumination intensity of a screen of the electronic terminal and the illumination intensity reflected by the screen of the electronic terminal in a preset time period, and constructing a screen illumination intensity database aiming at the electronic terminal and a screen reflection illumination intensity database aiming at the electronic terminal. Therefore, according to different scenes, different mobile payment equipment models can adapt to corresponding illumination intensity, so that payment can be completed quickly and accurately, and meanwhile, the accuracy and the applicability of fingerprint identification verification under a screen are improved.
The invention provides a cloud computing-based method for identifying fingerprints under a screen, which comprises the steps of networking a mobile payment device with a full screen, and connecting the mobile payment device, an electronic terminal for controlling the mobile payment device and a cloud server cluster, wherein the mobile payment device comprises a fingerprint sensing module arranged at a preset distance below the full screen, a system for payment software to run and a verification device in wireless connection with the mobile payment device, wherein the system is composed of a receiving module, a connecting module and a first confirmation module, the receiving module is arranged on the mobile payment device, the receiving module is used for receiving fingerprint data of a user, the verification device comprises a trigger switch, a wireless signal module, a data processing module and a data storage module, a second confirmation module is arranged in the data processing module, and the data storage module stores the confirmation data; when the mobile payment device is connected with the verification device, the second confirmation module reads the data in the first confirmation module; obtaining a pass signal through a certain data authentication stored in a data storage module, wherein when the fingerprint identification fails for M times continuously or the identification fails after N seconds continuously, the fingerprint identification fails; encrypting the relevant information of the fingerprint with the failure of local identification, and sending the encrypted relevant information to the cloud server cluster, wherein the relevant information of the fingerprint comprises a fingerprint photo to be identified and a unique identification code of a person to be identified; decrypting the received related information of the fingerprint, and sending the decrypted related information of the fingerprint and the reserved fingerprint information to the mobile payment equipment, wherein the reserved fingerprint information is obtained according to the unique identification code of the person to be identified; on the basis of a screen of the mobile payment device, comparing and displaying the reserved fingerprint and the fingerprint photo to be identified, and sending a comparison result to the cloud server cluster; and receiving a payment channel opening instruction issued by the cloud server cluster, and feeding the instruction back to a connection module of the system for the payment software to run so that the payment software runs to complete payment. Therefore, the rapidness and the usability of the identification of the finger print under the screen are improved. The method comprises the steps of firstly networking, and finishing fingerprint identification verification and subsequent payment operation based on the cooperative operation of multiple modules under a screen. Therefore, the fingerprint can be efficiently, accurately and quickly identified under the networking environment supporting the multi-form payment system based on a plurality of scene conditions, the payment operation can be quickly, efficiently and flexibly completed, and the system has safety and applicability.
Based on the same inventive concept, the invention also provides an off-screen fingerprint identification device for cloud computing. Because the principle of the device for solving the problems is similar to that of the cloud computing-based method for identifying the fingerprint under the screen, the implementation of the device can be realized according to the specific steps of the method, and repeated parts are not repeated.
Fig. 2 is a schematic structural diagram of an apparatus for identifying fingerprints under a screen based on cloud computing in an embodiment. The cloud computing-based underscreen fingerprint recognition apparatus 10 includes: the system comprises a networking and connecting module 100, a reading module 200, a traffic signal acquiring module 300, a first sending module 400, a receiving module 500, a second sending module 600 and a payment channel opening module 700.
The networking and connecting module 100 is used for networking a mobile payment device with a full screen and connecting the mobile payment device, an electronic terminal for controlling the mobile payment device and a cloud server cluster, the mobile payment device comprises a fingerprint sensing module arranged at a preset distance below the full screen, a receiving module, a connecting module and a first confirmation module which are arranged on the mobile payment device, a system for payment software to run and a verification device which is in wireless connection with the mobile payment device, wherein the system for payment software to run is composed of the receiving module and the first confirmation module; the reading module 200 is used for reading the data in the first confirmation module by the second confirmation module when the mobile payment device is connected with the verification device; the pass signal acquisition module 300 is configured to acquire a pass signal through a certain data authentication stored in the data storage module, where the fingerprint identification failure is defined when the fingerprint identification fails for M consecutive times or the identification fails after N consecutive identification seconds; the first sending module 400 is configured to encrypt relevant information of a fingerprint with a failed local identification and send the encrypted relevant information to the cloud server cluster, where the relevant information of the fingerprint includes a fingerprint photo to be identified and a unique identification code of a person to be identified; the receiving module 500 is configured to decrypt the received related information of the fingerprint, and send the decrypted related information of the fingerprint and the reserved fingerprint information to the mobile payment device, where the reserved fingerprint information is obtained according to a unique identification code of a person to be identified; the second sending module 600 is configured to compare and display the reserved fingerprint and the fingerprint photo to be identified based on a screen of the mobile payment device, and send a comparison result to the cloud server cluster; the payment channel opening module 700 is configured to receive a payment channel opening instruction issued by the cloud server cluster, and feed back the instruction to a connection module of a system for running the payment software, so that the payment software runs to complete payment.
The invention provides a cloud computing-based under-screen fingerprint identification and verification device, which firstly carries out networking on mobile payment equipment with a full screen through a networking and connecting module, and connecting the mobile payment device, the electronic terminal for controlling the mobile payment device and the cloud server cluster, wherein the mobile payment device comprises a fingerprint sensing module arranged at a preset distance below the full screen, the system consists of a receiving module, a connecting module and a first confirmation module which are arranged on the mobile payment equipment and used for payment software to run, and a verification device which is in wireless connection with the mobile payment equipment, wherein the receiving module is used for receiving fingerprint data of a user; when the mobile payment equipment is connected with the verification device through the reading module, the second confirmation module reads the data in the first confirmation module; obtaining a pass signal through a pass signal obtaining module through the determined data authentication stored in the data storage module, wherein when the fingerprint identification fails for M times continuously or the identification fails after N seconds continuously, the fingerprint identification fails; the first sending module encrypts and sends the related information of the fingerprint with the failure of local identification to the cloud server cluster, wherein the related information of the fingerprint comprises a fingerprint photo to be identified and a unique identification code of a person to be identified; decrypting the received related information of the fingerprint through a receiving module, and sending the decrypted related information of the fingerprint and the reserved fingerprint information to the mobile payment equipment, wherein the reserved fingerprint information is obtained according to the unique identification code of the person to be identified; then, the reserved fingerprint and the fingerprint photo to be identified are displayed in a comparison mode on the screen of the mobile payment device through a second sending module, and the comparison result is sent to the cloud server cluster; and finally, receiving a payment channel opening instruction issued by the cloud server cluster through the payment channel opening module, and feeding the instruction back to the connection module of the system for the payment software to operate so that the payment software operates to complete payment. Therefore, the rapidness and the usability of the identification of the finger print under the screen are improved. The device firstly carries out networking to the verification of fingerprint identification is accomplished to the cooperation operation of many modules based on under the screen, and subsequent payment operation. Therefore, the fingerprint can be efficiently, accurately and quickly identified under the networking environment supporting the multi-form payment system based on a plurality of scene conditions, the payment operation can be quickly, efficiently and flexibly completed, and the system has safety and applicability.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and the computer program is executed by the processor in fig. 1.
The embodiment of the invention also provides a computer program product containing the instruction. Which when run on a computer causes the computer to perform the method of fig. 1 described above.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The foregoing describes the general principles of the present disclosure in conjunction with specific embodiments, however, it is noted that the advantages, effects, etc. mentioned in the present disclosure are merely examples and are not limiting, and they should not be considered essential to the various embodiments of the present disclosure. Furthermore, the foregoing disclosure of specific details is for the purpose of illustration and description and is not intended to be limiting, since the disclosure is not intended to be limited to the specific details so described.
The block diagrams of devices, apparatuses, systems referred to in this disclosure are only given as illustrative examples and are not intended to require or imply that the connections, arrangements, configurations, etc. must be made in the manner shown in the block diagrams. These devices, apparatuses, devices, systems may be connected, arranged, configured in any manner, as will be appreciated by those skilled in the art. Words such as "including," "comprising," "having," and the like are open-ended words that mean "including, but not limited to," and are used interchangeably therewith. The words "or" and "as used herein mean, and are used interchangeably with, the word" and/or, "unless the context clearly dictates otherwise. The word "such as" is used herein to mean, and is used interchangeably with, the phrase "such as but not limited to".
Also, as used herein, the use of "or" in a list of items beginning with "at least one" indicates a separate list, e.g., "A, B or at least one of C" means A or B or C, or AB or AC or BC, or ABC (i.e., A and B and C). Furthermore, the word "exemplary" does not mean that the described example is preferred or better than other examples.
The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit embodiments of the disclosure to the form disclosed herein. While a number of example aspects and embodiments have been discussed above, those of skill in the art will recognize certain variations, modifications, alterations, additions and sub-combinations thereof.
Claims (9)
1. A cloud computing-based method for identifying fingerprints under a screen is characterized by comprising the following steps:
networking the mobile payment equipment with a full screen, connecting the mobile payment equipment, the electronic terminal for controlling the mobile payment equipment and the cloud server cluster, the mobile payment equipment comprises a fingerprint sensing module which is arranged at a preset distance below the full-face screen, a system for payment software operation consisting of a receiving module, a connecting module and a first confirmation module which are installed on the mobile payment device, and a verification device which is wirelessly connected with the mobile payment device, the receiving module is used for receiving fingerprint data of a user, the verification device comprises a trigger switch, a wireless signal module, a data processing module and a data storage module, a second confirmation module is arranged in the data processing module, and the data storage module stores determination data, wherein the determination data is determined in the following way: respond to received fingerprint initialization instruction when fingerprint response module monitors to apply in the pressing action of the appointed area of screen, utilizes fingerprint response module gathers the regional second fingerprint identification data of second fingerprint, second fingerprint identification data includes: the vertical deformation amount of each pixel point in the second fingerprint area, the two-dimensional coordinate of each pixel point on the screen, and the pressing force born by the second fingerprint area are the contact areas of the fingerprint and the screen when the pressing action occurs after the received fingerprint initialization instruction; storing, by the data storage module, the second fingerprint identification data as the determination data in response to the received fingerprint saving instruction;
reading, by the second confirmation module, data in the first confirmation module when the mobile payment device is connected to the verification apparatus;
obtaining a pass signal through the authentication of the determined data stored in the data storage module, wherein when the fingerprint identification fails for M times continuously or the identification fails after N seconds of continuous identification, the fingerprint identification failure is defined;
encrypting relevant information of a fingerprint with a failed local identification and then sending the encrypted relevant information to the cloud server cluster, wherein the relevant information of the fingerprint comprises a fingerprint photo to be identified and a unique identification code of a person to be identified;
decrypting the received related information of the fingerprint, and sending the decrypted related information of the fingerprint and reserved fingerprint information to the mobile payment equipment, wherein the reserved fingerprint information is obtained according to a unique identification code of a person to be identified;
on the basis of the screen of the mobile payment equipment, comparing and displaying the reserved fingerprint and the fingerprint photo to be identified, and sending a comparison result to the cloud server cluster;
and receiving a payment channel opening instruction issued by the cloud server cluster, and feeding the instruction back to the connection module of the system for payment software operation so as to enable the payment software to complete payment after operation.
2. The cloud-computing-based off-screen fingerprint identification method of claim 1, wherein connecting the mobile payment device, the electronic terminal controlling the mobile payment device, and the cloud server cluster comprises: connecting at least one mobile payment device arranged in a plurality of scenes with a cloud server cluster through WIFI;
and connecting at least one mobile payment device arranged in a plurality of scenes with the electronic terminal for controlling the mobile payment device through Bluetooth connection.
3. The cloud-computing-based off-screen fingerprint identification method of claim 1, further comprising: acquiring capability values corresponding to a plurality of protocol stacks in the mobile payment equipment and a channel identifier currently bound with the protocol stack with the maximum value of the capability values;
selecting a corresponding channel according to the acquired channel identifier;
and completing the payment operation applicable to the mobile payment device through the selected channel.
4. The cloud-computing-based off-screen fingerprint identification method of claim 1, further comprising: the method comprises the steps of obtaining the illumination intensity of a screen of the electronic terminal and the illumination intensity reflected by the screen of the electronic terminal in a preset time period, and constructing a screen illumination intensity database aiming at the electronic terminal and a screen reflection illumination intensity database aiming at the electronic terminal.
5. The cloud-computing-based off-screen fingerprint identification method of claim 1, further comprising: work as the fingerprint response module monitors and applies in the appointed regional press data of screen, utilizes the fingerprint response module gathers the regional first fingerprint identification data of first fingerprint, first fingerprint identification data includes: the fingerprint touch screen comprises a first fingerprint area, a second fingerprint area and a touch area, wherein the first fingerprint area comprises a vertical deformation amount of each pixel point in the first fingerprint area, a two-dimensional coordinate of each pixel point on the screen and a pressing force born by the first fingerprint area, and the first fingerprint area is a contact area of a finger and the screen when a pressing action occurs.
6. The cloud-computing-based off-screen fingerprint identification method of claim 5, further comprising: comparing the first fingerprint identification data with the determination data stored in advance to confirm whether fingerprint authentication is passed.
7. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
8. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1-6 are implemented when the program is executed by the processor.
9. An apparatus for identifying fingerprint under a screen based on cloud computing, the apparatus comprising:
the networking and connecting module is used for networking the mobile payment equipment with a full screen and connecting the mobile payment equipment, an electronic terminal for controlling the mobile payment equipment and a cloud server cluster, the mobile payment equipment comprises a fingerprint sensing module arranged at a preset distance below the full screen, a system for payment software running and a verification device in wireless connection with the mobile payment equipment, wherein the system is composed of a receiving module, a connecting module and a first confirmation module arranged on the mobile payment equipment, the receiving module is used for receiving fingerprint data of a user, the verification device comprises a trigger switch, a wireless signal module, a data processing module and a data storage module, a second confirmation module is arranged in the data processing module, and the data storage module stores determined data, wherein the determination data is determined by: respond to received fingerprint initialization instruction when fingerprint response module monitors to apply in the pressing action of the appointed area of screen, utilizes fingerprint response module gathers the regional second fingerprint identification data of second fingerprint, second fingerprint identification data includes: the vertical deformation amount of each pixel point in the second fingerprint area, the two-dimensional coordinate of each pixel point on the screen, and the pressing force born by the second fingerprint area are the contact areas of the fingerprint and the screen when the pressing action occurs after the received fingerprint initialization instruction; storing, by the data storage module, the second fingerprint identification data as the determination data in response to the received fingerprint saving instruction;
the reading module is used for reading the data in the first confirmation module by the second confirmation module when the mobile payment device is connected with the verification device;
the pass signal acquisition module is used for acquiring pass signals through the authentication of the determined data stored in the data storage module, wherein when the fingerprint identification fails for M times continuously or the identification fails after N seconds continuously, the fingerprint identification fails;
the first sending module is used for encrypting relevant information of a fingerprint with a failed local identification and then sending the encrypted relevant information to the cloud server cluster, wherein the relevant information of the fingerprint comprises a fingerprint photo to be identified and a unique identification code of a person to be identified;
the receiving module is used for decrypting the received related information of the fingerprint and sending the decrypted related information of the fingerprint and reserved fingerprint information to the mobile payment equipment, wherein the reserved fingerprint information is obtained according to a unique identification code of a person to be identified;
the second sending module is used for comparing and displaying the reserved fingerprint and the fingerprint photo to be identified on the basis of the screen of the mobile payment device and sending a comparison result to the cloud server cluster;
and the payment channel opening module is used for receiving a payment channel opening instruction issued by the cloud server cluster and feeding the instruction back to the connection module of the system for the payment software to operate so as to enable the payment software to operate and complete payment.
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