CN106649829B

CN106649829B - A business processing method and device based on palmprint data

Info

Publication number: CN106649829B
Application number: CN201611248675.3A
Authority: CN
Inventors: 孙鹏; 李建方; 刘琦玉; 兰天; 冯姗姗; 王佳裕
Original assignee: Beijing Qihoo Technology Co Ltd
Current assignee: Beijing Qihoo Technology Co Ltd
Priority date: 2016-12-29
Filing date: 2016-12-29
Publication date: 2021-06-25
Anticipated expiration: 2036-12-29
Also published as: CN106649829A

Abstract

Embodiments of the present invention provide a method and device for processing palmprint data based services. The method includes: when a service request sent by one or more mobile terminals is received, acquiring a palm image from a map bed according to the service request data, the service request has pairing information; identify palmprint data from the palm image data; store the palmprint data in the storage space corresponding to the pairing information; pair the palmprint data stored in the storage space Match the pattern data to obtain business information. Using pairing information as an index to store palmprint data enables mobile terminals to upload palm image data independently, without uploading palm image data through a mobile terminal, reducing the frequency of communication between mobile terminals and reducing coordination between users. Ease of operation is improved.

Description

Service processing method and device based on palm print data

Technical Field

The present invention relates to the technical field of computer processing, and in particular, to a palm print data-based service processing method and a palm print data-based service processing apparatus.

Background

With the rapid development of computer technology, biometric technology has been widely developed in government, finance, military and other aspects as a new identity recognition technology.

The characteristics of main lines, wrinkles, fine textures, ridge endings, bifurcation points and the like of the palm print data can be used for biological identification, and the acquisition of the palm print data is non-invasive, so that the palm print data is easy to accept by a user and has low requirements on an acquisition terminal.

If the palm print data of the two users are paired, generally, the other terminal transmits the palm print data to the current terminal, the current terminal simultaneously uploads the two palm print data to the server, after the server is paired, the result is returned to the current terminal, and the current terminal transmits the palm print data to the other terminal.

In the process, the two terminals communicate frequently, and the user also needs to communicate in other ways for coordination, so that the operation is complicated.

Disclosure of Invention

In view of the above problems, the present invention is proposed to provide a palm print data based service processing method and a corresponding palm print data based service processing apparatus that overcome or at least partially solve the above problems.

According to an aspect of the present invention, a service processing method based on palm print data is provided, including:

when a service request sent by one or more mobile terminals is received, acquiring palm image data from an image bed according to the service request, wherein the service request has pairing information;

identifying palm print data from the palm image data;

storing the palm print data into a storage space corresponding to the pairing information;

and matching the palm print data stored in the storage space to obtain service information.

Optionally, the step of storing the palm print data in a storage space corresponding to the pairing information includes:

generating key information for the pairing information;

inquiring a storage space corresponding to the key information;

and storing the palm print data into the storage space.

Optionally, the step of matching the palm print data stored in the storage space to obtain the service information includes:

inquiring the quantity of the palm print data stored in the storage space and whether the time is out;

when the number of the palm print data is at least two, matching the at least two palm print data, and acquiring corresponding service information based on a matching result;

when the number of the palm print data is one and the palm print data is not overtime, waiting for a preset time, and returning to the step of inquiring the number of the palm print data stored in the storage space and whether the palm print data is overtime;

and when the number of the palm print data is one and the time is over, determining that the matching fails.

Optionally, the step of querying the number of palm print data stored in the storage space and whether the time is out includes:

setting an expiration time for the palm print data;

recording the time of the first service request as the pairing request time;

judging that the difference between the current time and the pairing request time exceeds the expiration time; if yes, determining that the time is overtime; if not, determining that the time is not exceeded.

Optionally, the step of acquiring palm image data from the bed according to the service request includes:

extracting a first address of the palm image data in the image bed from the service request;

and accessing the first address and downloading the palm image data from the map bed.

carrying out format check on request parameters in the service request;

when the format of the request parameter is correct, acquiring palm image data from the image bed;

and when the format of the request parameter is wrong, carrying out error exception processing.

inquiring the access frequency of the mobile terminal;

judging whether the access frequency exceeds a preset frequency threshold;

if yes, rejecting the service request and performing error exception handling;

and if not, acquiring palm image data from the map bed.

Optionally, the step of querying the access frequency of the mobile terminal includes:

recording a terminal identification of the mobile terminal aiming at each access of the mobile terminal;

setting an expiration time for the terminal identification;

and counting the number of the terminal identifications as access frequency.

Optionally, the method further comprises:

generating a palm print image by adopting the palm print data;

and returning the palm print image and/or the service information to the corresponding mobile terminal by taking the image bed as a carrier of the palm print image.

Optionally, the step of returning the palm print image and/or the service information to the corresponding mobile terminal by using the map bed as a carrier of the palm print image includes:

uploading the palm print image to the image bed to obtain a second address;

encapsulating at least one of the service information and the second address into a script object;

and returning the script object to the mobile terminal.

According to another aspect of the present invention, there is provided a service processing apparatus based on palmprint data, including:

the palm image data acquisition module is suitable for acquiring palm image data from an image bed according to a service request sent by one or more mobile terminals when the service request is received, wherein the service request has pairing information;

the palm print data identification module is suitable for identifying palm print data from the palm image data;

the palm print data storage module is suitable for storing the palm print data into a storage space corresponding to the pairing information;

and the palm print data matching module is suitable for matching the palm print data stored in the storage space to obtain the service information.

Optionally, the palm print data storage module is further adapted to:

generating key information for the pairing information;

inquiring a storage space corresponding to the key information;

and storing the palm print data into the storage space.

Optionally, the palm print data matching module is further adapted to:

setting an expiration time for the palm print data;

recording the time of the first service request as the pairing request time;

Optionally, the palm image data acquisition module is further adapted to:

carrying out format check on request parameters in the service request;

Optionally, the palm image data acquisition module is further adapted to:

inquiring the access frequency of the mobile terminal;

judging whether the access frequency exceeds a preset frequency threshold;

if yes, rejecting the service request and performing error exception handling;

and if not, acquiring palm image data from the map bed.

Optionally, the palm image data acquisition module is further adapted to:

setting an expiration time for the terminal identification;

and counting the number of the terminal identifications as access frequency.

Optionally, the method further comprises:

the palm print image generation module is suitable for generating a palm print image by adopting the palm print data;

and the palm print information returning module is suitable for taking the image bed as a carrier of the palm print image and returning the palm print image and/or the service information to the corresponding mobile terminal.

Optionally, the palmprint information returning module is further adapted to:

uploading the palm print image to the image bed to obtain a second address;

and returning the script object to the mobile terminal.

In the embodiment of the invention, the service platform transmits palm image data through the graphics bed and the mobile terminal, identifies palm print data and generates a palm print image on the service platform, stores the palm print data through pairing information for matching to obtain service data, on one hand, the graphics bed is used as a transfer carrier of the palm image data, and simple information such as addresses can be used for communication between the service platform and the mobile terminal without directly transmitting the image data, so that the volume of the transmitted data is effectively reduced, and the transmission efficiency and the development efficiency are improved; on the other hand, the matching information is used as an index to store palm print data, so that the mobile terminal can independently upload palm image data without uploading the palm image data through a certain mobile terminal, the communication frequency between the mobile terminals is reduced, the coordination between users is reduced, and the convenience of operation is improved.

The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.

Drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:

fig. 1 is a flowchart illustrating steps of a palm print data-based business processing method according to an embodiment of the present invention;

FIGS. 2A-2C are diagrams illustrating exemplary processes for palm print data according to an embodiment of the present invention;

3A-3B illustrate exemplary diagrams of a gray scale process according to one embodiment of the invention;

4A-4B illustrate exemplary diagrams of a median filtering process according to one embodiment of the invention;

FIG. 5 is a diagram illustrating an example of an adjustment of a detection threshold according to one embodiment of the invention;

FIG. 6 illustrates an exemplary diagram of a palm print template for a dominant line in accordance with one embodiment of the present invention;

fig. 7 is a block diagram illustrating a palm print data-based service processing apparatus according to an embodiment of the present invention; and

fig. 8 is a block diagram of a palm print data identification module according to an embodiment of the present invention.

Detailed Description

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

Referring to fig. 1, a flowchart illustrating steps of an embodiment of a palm print data-based service processing method according to an embodiment of the present invention is shown, which may specifically include the following steps:

step 101, when receiving a service request sent by one or more mobile terminals, acquiring palm image data from a map bed according to the service request.

In a specific implementation, the embodiment of the present invention may be applied to a service platform, which may be an independent server or a server cluster in nature, such as a distributed system.

The service platform may provide an API (Application Programming Interface), and the mobile terminal may package a service request according to a specification of the API Interface and send the service request to the service platform, so as to call the service to provide the palmprint service.

It should be noted that, because the service platform may be oriented to multiple mobile terminals, multiple mobile terminals may call a tunnel to package a service request according to the specification of the API interface and send the service request to the service platform.

In the embodiment of the present invention, the mobile terminal may invoke the camera to collect palm image data, and upload the palm image data to the map bed, where the palm image data is image data recorded with a palm, as shown in fig. 2A.

The graph bed is a cloud platform of a third party independent of a service platform and a mobile terminal, can provide cloud services for users, and after the users apply for corresponding accounts, the users allocate corresponding cloud servers, such as virtual machines, and establish a database in the cloud servers.

The mobile terminal may upload the palm image data to the cloud server through an interface provided by the graphics bed, and the cloud server may store the palm image data and allocate a first address, for example, a Uniform Resource Locator (URL).

It should be noted that, before uploading the palm image data, the mobile terminal may compress the palm image data to reduce the amount of data to be transmitted.

After the chart stores the palm image data, the first address of the palm image data is returned to the mobile terminal.

In order to pair the palmprint data, the user may input the pairing information in the mobile terminal, which is similar to a secret code, the user may notify the other users of the pairing information in other ways, and the other users may also input the same pairing information in the mobile terminal, and pair the palmprint data based on the same pairing information.

The mobile terminal can package the first address and the pairing information according to the specification of the API interface, package a service request and send the service request to the service platform so as to call the service to provide the palmprint service.

Of course, in addition to the first address of the palm image data in the map bed and the pairing information, the mobile terminal may encapsulate other information into the service request, for example, a Uid (user unique identifier), a user nickname, a user password, and the like, which is not limited in this embodiment of the present invention.

After receiving a service request sent by the mobile terminal, the service platform responds to the service request and acquires palm image data uploaded by the mobile terminal from the image bed.

In a specific implementation, the service platform may extract a first address of the palm image data in the map bed from the service request, access the first address, and download the palm image data uploaded to the map bed by the mobile terminal from the map bed.

In one embodiment of the present invention, step 101 may comprise the following sub-steps:

and a substep 1011, performing format check on the request parameter in the service request.

And a substep 1012, downloading the palm image data uploaded to the map bed by the mobile terminal from the map bed when the format of the request parameter is correct.

And a substep 1013 of performing error exception processing when the format of the request parameter is incorrect.

In the embodiment of the present invention, the service platform may perform format check on request parameters (such as Uid, URL, etc.) in the service request of the mobile terminal, for example, whether the request parameters are null, whether the URL is legal, whether the URL is URL check of palm image data, and the like.

If the request parameters are correct, palm image data uploaded to the map bed by the mobile terminal can be continuously downloaded from the map bed.

If the request parameter is wrong, error exception handling can be performed, for example, wrong information is returned to the mobile terminal, and the like, so that abnormal situations of the program can be reduced, and normal operation of the system can be guaranteed.

In another embodiment of the present invention, step 101 may comprise the following sub-steps:

sub-step 1014, inquiring the access frequency of said mobile terminal.

Substep 1015, determining whether the access frequency exceeds a preset frequency threshold; if so, then sub-step 1016 is performed, and if not, then sub-step 1017 is performed.

Substep 1016, rejecting the service request and performing error exception handling.

And a substep 1017 of downloading the palm image data uploaded to the map bed by the mobile terminal from the map bed.

In the embodiment of the invention, in order to prevent the API interface from being maliciously scanned to a certain extent, certain frequency limitation can be carried out on the service request of the mobile terminal.

Therefore, the access frequency of the service request of the mobile terminal can be counted.

In one example, a terminal identifier of the mobile terminal, such as an IP (Internet Protocol) address, Uid, and the like of the mobile terminal, may be recorded for each access of the mobile terminal based on a Redis data storage service of a memory.

And setting an expiration time for the terminal identifier, wherein the expiration national enterprise time can be written in a configuration file for dynamic loading, and if the expiration time is exceeded, the terminal identifier is invalid.

And counting the number of the terminal identifications as access frequency.

If the access frequency of the same mobile terminal exceeds the frequency threshold, which indicates that the mobile terminal has too frequent access, the service request can be rejected to reject providing service to the mobile terminal, and error exception handling is performed, for example, information that the access is too frequent is returned to the mobile terminal, and the like, so that abnormal situations of programs can be reduced, and normal operation of the system can be ensured.

If the access frequency of the same mobile terminal does not exceed the frequency threshold, which indicates that the mobile terminal has infrequent access, the service request can be accepted, palm image data uploaded to the map bed by the mobile terminal is continuously downloaded from the map bed, and the service is provided for the mobile terminal.

And 102, identifying palm print data from the palm image data.

In the contact between a person and the outside, the epidermis gradually thickens, and the palm of the person has many lines, called as palm lines, which can be divided into main lines (principal lines), fold lines (wrinkle) and papilla lines (ridge).

The crease lines are permanent folds of the skin of the palm portion due to muscle movements.

Mastoid threads are formed by permanent thickening of the epidermis, mainly inside the palm of the hand.

In practical application, the palm image data with high resolution can be identified by utilizing the nipple wrinkles and the minutiae, and the characteristic extraction stage generally comprises the processes of directional field estimation, image enhancement, binarization, thinning, minutiae extraction and the like.

On the basis, some rules can be given by using statistical information and structural information to remove pseudo minutiae, matching between point sets is adopted during matching, and information such as positions, directions and types of the minutiae in each pair of minutiae is generally considered during matching.

In addition, the latent palm print identification method can provide a method for identifying palm print data by taking a minutiae code as a local feature, firstly performing local matching and then performing global matching according to the characteristic of matching between partial palm prints and all palm prints.

For palm print image data with low resolution, palm print recognition can be realized by utilizing the main line and fold information.

Palm print recognition methods can be classified into four categories, structure-based methods, statistical-based methods, subspace-based methods, and code-based methods, according to the representation of the features in the palm print and the matching method.

In one embodiment of the present invention, step 102 may include the following sub-steps:

and a substep 1021, preprocessing the palm image data.

Wherein the pre-treatment comprises one or more of:

(1) gray scale processing

The Canny operator is adopted for edge detection, so that the gray-scale map is used, and the speed of subsequent image processing operation can be increased by using the gray-scale map.

Therefore, the palm image data of RGB colors can be processed into a gray scale image by calling the cvtColo function of the opencv library, and the like.

For example, gradation processing is performed on palm image data as shown in fig. 3A, resulting in a gradation map as shown in fig. 3B.

(2) Median filtering process

Since the unprocessed palm image data has more fine lines and miscellaneous lines, which are regarded as noise in the main line extraction and can bring greater interference to the main line extraction, the fine lines and miscellaneous lines can be filtered by using median filtering.

For example, the gradation map (palm image data) shown in fig. 4A is subjected to median filtering processing, resulting in image data shown in fig. 4B.

Of course, the foregoing preprocessing is only an example, and when the embodiment of the present invention is implemented, other preprocessing may be set according to practical situations, for example, normalization, illumination supplementation, and the like, which is not limited in this embodiment of the present invention. In addition, besides the above pretreatment, those skilled in the art may also use other pretreatment according to actual needs, and the embodiment of the present invention is not limited thereto.

A substep 1022 of extracting contour data from the palm image data.

In a specific implementation, the contour data can be extracted from the palm image data, and more obvious palm print data can be identified.

In one embodiment of the present invention, sub-step 1022 may include the following sub-steps:

a substep 10221, performing edge detection on the palm print image data to obtain edge image data;

in the specific implementation, the edge detection can be performed on the palm print image data, the point with obvious brightness change in the palm print image data is identified, the edge image data is obtained, and the data scale of the palm print image data is obviously reduced under the condition of keeping the original image attribute.

In one embodiment of the present invention, the sub-step 10221 may include the following sub-steps:

and a substep 102211 of performing edge detection on the palm print image data based on the detection threshold to obtain edge image data.

In the embodiment of the invention, Canny operator can be adopted for edge detection, the Canny operator is a multi-stage edge detection algorithm, and three strict edge detection standards are provided:

(a) good signal-to-noise ratio

(b) High positioning accuracy

(c) Single edge response

According to the three criteria, the Canny operator deduces an approximate realization of the optimal edge detection operator, namely that the boundary point is positioned at the maximum value point of the gradient amplitude of the image after being smoothed by the Gaussian function, and the method comprises the following steps:

(1) and performing low-pass smoothing filtering on the palm print image data according to rows and columns by using a one-dimensional Gaussian function.

(2) And calculating gradient values and gradient directions of all points in the smoothed palm print image data, and recording the gradient values and the gradient directions in a gradient amplitude map and a gradient directional diagram.

(3) And carrying out non-maximum suppression on the gradient amplitude value, and determining candidate edge points.

In the gradient magnitude map, if the gradient value of a certain point is not the maximum compared with the gradient values of two adjacent pixels in the gradient direction of the store, the point is regarded as a non-edge point to be deleted, and candidate edge points obtained after suppression are recorded in the map edge.

(4) Setting two thresholds of global height and global height, and selecting edge points.

In the histogram distribution of the gradient amplitude map, the number of pixel points is accumulated in the gradient amplitude increasing direction, when the accumulated number reaches a certain proportion (for example, 80%) of the total number, the corresponding gradient value is used as a high threshold, and a certain proportion (for example, 50% and 40%) of the high threshold is used as a low threshold.

Among the candidate edge points in the graph edge, points with gradient values larger than a high threshold value are reserved as edges, points with gradient values smaller than a low threshold value are deleted, points with gradient values between two threshold values and adjacent to the edge points are reserved as edge points, and otherwise, the points are deleted. And then judging whether edge pixels larger than a high threshold exist in the eight directions of the reserved point, if so, considering the edge pixels as edge points, otherwise, judging the edge pixels as edge points.

In the embodiment of the present invention, the detection threshold may be used as a threshold such as a high threshold, and is used to select the edge point.

The substep 10222 is to extract contour data with a number of pixels meeting a preset contour condition from the edge image data.

In practical application, a certain outline condition may be preset, and if the number of the pixel points of the edge image data meets the condition, the edge image data may be used as the outline data.

In one embodiment of the present invention, sub-step 10222 may include the following sub-steps:

a substep 102221, obtaining a pixel number threshold value by taking a specified proportion (for example, 3%) from the total number of pixels of the palm image data;

a substep 102222 of extracting contour data from the edge image data;

substep 102223, removing the contour data with the number of pixels less than a preset number threshold (e.g. 20);

a substep 102224 of determining whether the number of pixels of the contour data is less than the threshold value of the number of pixels; if yes, go to substep 102225, if no, go to substep 102226;

a substep 102225 of determining that the number of pixels of the contour data meets a preset contour condition;

substep 102226, adjusting the detection threshold, returns to performing substep 102211.

In the embodiment of the invention, if the number of the pixel points of the contour data is less than a certain proportion of the total number of the pixel points, the contour data is determined to accord with the contour condition.

Otherwise, as shown in fig. 5, the detection threshold may be adjusted, the detection threshold is increased, and if the value is increased by one, the edge detection and the contour extraction are performed again to obtain an appropriate detection threshold, so that the contour of the main line is more completely retained and the contour of the miscellaneous fringes is removed at the same time.

And a substep 1023 of matching the profile data with a preset palm print template to identify palm print data.

In the embodiment of the present invention, a palm print template, that is, a template for extracting the characteristics of the middle palm print, may be configured in advance for one or more palm prints, and the palm print template is matched with the contour data to extract the required palm print data.

In one embodiment of the present invention, step 1023 may include the following sub-steps:

a substep 10231 of extracting a main line template of the palm main line;

a substep 10232, adopting the main line template and the contour data for matching, and identifying main line data;

if the main line data is identified, the contour data belonging to the same palm main line can be merged.

Of course, the above identification manner of the palm print data is only an example, and when implementing the embodiment of the present invention, other identification manners of the palm print data may be set according to actual situations, which is not limited in the embodiment of the present invention. In addition, besides the identification method of the palm print data, a person skilled in the art may also adopt other identification methods of the palm print data according to actual needs, and the embodiment of the present invention is not limited to this.

And 103, storing the palm print data into a storage space corresponding to the pairing information.

In the embodiment of the present invention, the service request has the pairing information, and a unique storage space is set for the pairing information in the service platform, for storing the palm print data corresponding to the pairing information.

The palm print data identified by the mobile terminal inputting the same pairing information is stored in the same storage space, so that the mobile terminal can be paired subsequently.

Otherwise, the palm print data identified by the mobile terminal inputting different pairing information can be stored in different storage spaces, and pairing cannot be performed.

In one embodiment of the present invention, step 103 may comprise the following sub-steps:

substep 1031 of generating key information for the pairing information;

a substep 1032, querying a storage space corresponding to the key information;

substep 1033 of storing said palm print data in said storage space.

In the embodiment of the present invention, unique key information (key) may be generated for the pairing information, and the piece of document data may be stored in a storage space, such as a database queue, through this key information (key).

And 104, matching the palm print data stored in the storage space to obtain service information.

In the embodiment of the invention, the service information can be preset according to the service requirement, if at least two pieces of palm print data are stored in the storage space, the two pieces of palm print data can be paired according to a certain rule, and the corresponding service information is obtained according to the pairing result.

Different business information, i.e. data objects with business domain characteristics, can be available for different business domains.

For example, for the field of biometric identification, the service information may be information for verifying palm print data; for the medical field, the business information may be health, etc.

The service information, although carrying different service characteristics, is still data in nature, e.g., text, image data, audio data, video data, etc.

In one embodiment of the present invention, step 104 may include the following sub-steps:

substep 1041, inquiring the quantity of palm print data stored in the storage space and whether the time is out;

in a particular implementation, an expiration time may be set for the palm print data.

And recording the time of the first service request as the pairing request time.

Substep 1041, when the number of the palm print data is at least two, matching the at least two palm print data, and acquiring corresponding service information based on a matching result;

substep 1042, when the number of the palm print data is one and is not overtime, waiting for a preset time, and returning to execute substep 1041;

sub-step 1043, determining that the matching fails when the number of said palm print data is one and has timed out.

In the embodiment of the invention, if at least 2 pieces of palm print data exist in the storage space (such as a database queue), the user data initiating the matching operation is obtained, the pairing can be carried out through the pairing rule set by the service platform, and the related service information is inquired.

If there is 1 palm print data in the storage space (e.g. database queue), wait for a certain time, e.g. 1ms, and then check from the storage space (e.g. database queue).

If the palm print data in the storage space (such as a database queue) is overtime, the matching is determined to be failed, and an error can be returned to the mobile terminal.

In one embodiment of the present invention, the method may further comprise the steps of:

and 105, generating a palm print image by using the palm print data.

In the embodiment of the present invention, the palm print data may be recognized from the palm image data, and the palm print data may be rendered in the palm image data to generate the palm and palm print image.

And step 106, taking the map bed as a carrier of the palm print image, and returning the palm print image and/or the service information to the corresponding mobile terminal.

In a specific implementation, the service platform may return the identified palm print image and the related service information to the mobile terminal through the graphics bed, and perform corresponding display or other processing.

In one embodiment of the present invention, step 106 may include the following sub-steps:

sub-step 1061, uploading the palm print image to the graphics bed, and obtaining a second address;

a sub-step 1062 of encapsulating at least one of said service information and said second address into a script object;

sub-step 1063, returning the script object to the mobile terminal.

In the embodiment of the invention, the service platform can upload the palm print image to the map bed.

It should be noted that, before the palm image data is uploaded, the service platform may compress the palm image data to reduce the amount of data to be transmitted.

After the graphics bed stores the palm print image, a second address, such as a URL, is assigned and returned to the service platform.

The service platform encodes the service information and the second address by JSON (JavaScript Object notification, a lightweight data exchange format) and the like to generate a script Object, and returns the script Object to the mobile terminal, and the mobile terminal can load the script Object to perform corresponding display or other processing.

For example, as shown in fig. 2C, palm print data between two users are paired, and service information is extracted according to the pairing result and displayed on the mobile terminal.

The embodiment of the invention abstracts the key nodes of the services such as the limitation of access frequency, error exception processing, level division of main line data, combination of business information and the like, controls through configuration and has flexibility.

For simplicity of explanation, the method embodiments are described as a series of acts or combinations, but those skilled in the art will appreciate that the embodiments are not limited by the order of acts described, as some steps may occur in other orders or concurrently with other steps in accordance with the embodiments of the invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.

Referring to fig. 7, a block diagram of a structure of a service processing apparatus based on palm print data according to an embodiment of the present invention is shown, which may specifically include the following modules:

the palm image data acquisition module 701 is suitable for acquiring palm image data from an image bed according to a service request sent by one or more mobile terminals when the service request is received, wherein the service request has pairing information;

a palm print data identification module 702 adapted to identify palm print data from the palm image data;

a palm print data storage module 703 adapted to store the palm print data into a storage space corresponding to the pairing information;

and the palm print data matching module 704 is adapted to match the palm print data stored in the storage space to obtain the service information.

In an embodiment of the present invention, the palm print data storage module 703 is further adapted to:

generating key information for the pairing information;

inquiring a storage space corresponding to the key information;

and storing the palm print data into the storage space.

In one embodiment of the present invention, the palm print data matching module 704 is further adapted to:

setting an expiration time for the palm print data;

recording the time of the first service request as the pairing request time;

In an embodiment of the present invention, the palm image data obtaining module 701 is further adapted to:

carrying out format check on request parameters in the service request;

inquiring the access frequency of the mobile terminal;

judging whether the access frequency exceeds a preset frequency threshold;

if yes, rejecting the service request and performing error exception handling;

and if not, acquiring palm image data from the map bed.

setting an expiration time for the terminal identification;

and counting the number of the terminal identifications as access frequency.

In one embodiment of the present invention, further comprising:

In an embodiment of the present invention, the palmprint information returning module is further adapted to:

uploading the palm print image to the image bed to obtain a second address;

and returning the script object to the mobile terminal.

Referring to fig. 8, a block diagram of a palm print data identification module according to an embodiment of the present invention is shown, which may specifically include the following modules:

a contour data extraction module 801 adapted to extract contour data from the palm image data;

and a palm print template matching module 802 adapted to match the outline data with a preset palm print template to identify palm print data.

In one embodiment of the present invention, the following modules may be further included:

the preprocessing module is suitable for preprocessing the palm image data;

wherein the pre-treatment comprises one or more of:

gray level processing and median filtering processing.

In one embodiment of the invention, the contour data extraction module 801 is further adapted to:

performing edge detection on the palm print image data to obtain edge image data;

and extracting contour data of which the number of pixel points is preset to meet a preset contour condition from the edge image data.

and carrying out edge detection on the palm print image data based on a detection threshold value to obtain edge image data.

acquiring a specified proportion from the total number of pixel points of the palm image data to obtain a pixel point quantity threshold;

extracting contour data from the edge image data;

judging whether the number of the pixels of the contour data is less than the threshold value of the number of the pixels;

if yes, determining that the number of the pixel points of the contour data meets a preset contour condition;

if not, adjusting the detection threshold value, and returning to execute the step of performing edge detection on the palm print image data based on the detection threshold value to obtain edge image data.

and removing the contour data of which the number of the pixel points is less than a preset number threshold.

In one embodiment of the present invention, the palm print template matching module 802 is further adapted to:

extracting a main line template of the palm main line;

and matching the main line template with the contour data to identify the main line data.

and merging the contour data belonging to the same palm main line.

For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.

The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.

In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.

Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.

Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.

The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components in a palm print data based transaction device according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.

It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.

Claims

1. A business processing method based on palmprint data, comprising:

When the service platform receives service requests sent by multiple mobile terminals, it acquires palm image data from the map bed according to the service requests, and the service requests have pairing information;

The business platform identifies palmprint data from the palm image data;

The business platform stores the palmprint data in the storage space corresponding to the pairing information;

The business platform matches the palmprint data stored in the storage space to obtain business information;

The step of obtaining palm image data from the image bed according to the service request includes:

extracting the first address of the palm image data in the image bed from the service request;

accessing the first address, and downloading the palm image data from the image bed;

The business information is a data object with business domain characteristics.

2. The method of claim 1, wherein the step of storing the palmprint data in the storage space corresponding to the pairing information comprises:

generating key information for the pairing information;

query the storage space corresponding to the key information;

The palmprint data is stored in the storage space.

3. The method according to any one of claims 1-2, wherein the matching of the palmprint data stored in the storage space, the step of obtaining service information comprises:

Query the number of palmprint data stored in the storage space and whether it times out;

When the number of the palmprint data is at least two, matching the at least two palmprint data, and obtaining corresponding business information based on the matching result;

When the number of the palmprint data is one and has not timed out, wait for a preset time, and return to executing the step of querying the number of palmprint data stored in the storage space and whether it has timed out;

When the number of the palmprint data is one and the timeout has elapsed, it is determined that the matching fails.

4. The method of claim 3, wherein the step of querying the number of palmprint data stored in the storage space and whether it times out comprises:

setting an expiration time on the palmprint data;

Record the time of the first service request as the pairing request time;

It is judged that the difference between the current time and the pairing request time exceeds the expiration time; if yes, it is determined to have timed out; if not, it is determined that it has not timed out.

5. The method according to any one of claims 1-2, wherein the step of acquiring palm image data from the image bed according to the service request comprises:

performing format check on the request parameters in the service request;

When the format of the request parameter is correct, obtain palm image data from the image bed;

When the format of the request parameter is incorrect, error exception processing is performed.

6. The method according to any one of claims 1-2, wherein the step of acquiring palm image data from the image bed according to the service request comprises:

query the access frequency of the mobile terminal;

judging whether the access frequency exceeds a preset frequency threshold;

If so, reject the service request and perform error exception handling;

If not, obtain palm image data from the image bed.

7. The method of claim 6, wherein the step of querying the access frequency of the mobile terminal comprises:

For each access of the mobile terminal, record the terminal identification of the mobile terminal;

setting an expiration time on the terminal identifier;

The number of the terminal identifiers is counted as the access frequency.

8. The method of any one of claims 1-2, further comprising:

Using the palm print data to generate a palm palm print image;

The image bed is used as the carrier of the palm print image, and the palm print image and/or the business information is returned to the corresponding mobile terminal.

9 . The method according to claim 8 , wherein the image bed is used as a carrier of the palm print image, and the palm print image and/or the business information is returned to a corresponding movement. 10 . The steps of the terminal include:

uploading the palm print image to the image bed to obtain a second address;

encapsulating at least one of the business information and the second address into a script object;

Return the script object to the mobile terminal.

10. A business processing device based on palmprint data, comprising a business platform, the business platform comprising a palm image data acquisition module, a palmprint data identification module, a palmprint data storage module and a palmprint data matching module:

The palm image data acquisition module is adapted to acquire palm image data from the map bed according to the service requests when receiving service requests sent by a plurality of mobile terminals, and the service requests have pairing information;

a palmprint data identification module, adapted to identify palmprint data from the palm image data;

a palmprint data storage module, adapted to store the palmprint data in the storage space corresponding to the pairing information;

a palmprint data matching module, adapted to match the palmprint data stored in the storage space to obtain business information;

The palm image data acquisition module is also suitable for:

Extract the first address in the image bed of the palm image data from the service request;

The business information is a data object with business domain characteristics.

11. The device of claim 10, wherein the palmprint data storage module is further adapted to:

generating key information for the pairing information;

query the storage space corresponding to the key information;

The palmprint data is stored in the storage space.

12. The device according to any one of claims 10-11, wherein the palmprint data matching module is further adapted to:

13. The device of claim 12, wherein the palmprint data matching module is further adapted to:

setting an expiration time on the palmprint data;

Record the time of the first service request as the pairing request time;

14. The device according to any one of claims 10-11, wherein the palm image data acquisition module is further adapted to:

performing format check on the request parameters in the service request;

15. The device according to any one of claims 10-11, wherein the palm image data acquisition module is further adapted to:

query the access frequency of the mobile terminal;

judging whether the access frequency exceeds a preset frequency threshold;

If so, reject the service request and perform error exception handling;

If not, obtain palm image data from the image bed.

16. The apparatus of claim 15, wherein the palm image data acquisition module is further adapted to:

setting an expiration time on the terminal identifier;

The number of the terminal identifiers is counted as the access frequency.

17. The apparatus of any one of claims 10-11, further comprising:

a palm-print image generation module, adapted to generate a palm-print image by using the palm-print data;

The palmprint information returning module is adapted to use the image bed as a carrier of the palmprint image, and return the palmprint image and/or the business information to a corresponding mobile terminal.

18. The device of claim 17, wherein the palmprint information returning module is further adapted to:

uploading the palm print image to the image bed to obtain a second address;

Return the script object to the mobile terminal.