CN103473492B - Authority recognition method and user terminal - Google Patents

Abstract

The present invention provides a kind of authority recognition method and user terminal, and wherein, method includes: user terminal gathers the signing messages of user, described signing messages include finger print data and or signed data；User terminal determines the authority of described user according to described signing messages；User terminal determines available business according to the authority of described user, and shows described available business for described user.The authority recognition method of present invention offer and user terminal, it is possible to overcome the problem that the authority recognition method security of prior art is low.

Description

Authority recognition method and user terminal

Technical field

The present invention relates to the information processing technology, particularly relate to a kind of authority recognition method and user terminal.

Background technology

Along with electronics, the development of information technology, the problem of the safety of electronic equipment and information becomes the important of this area Problem.

For user terminal, such as smart mobile phone, traditional authority recognition generally uses password, the method such as swipe, such as User can use the various functions of this user terminal after inputting correct password or swiping by correct track.

But, the method for this authority recognition is easily cracked, and safety is the highest.

Summary of the invention

The present invention provides a kind of authority recognition method and user terminal, to overcome the authority recognition method safety of prior art The problem that property is low.

First aspect, the present invention provides a kind of authority recognition method, including:

User terminal gather user signing messages, described signing messages include finger print data and or signed data；

User terminal determines the authority of described user according to described signing messages；

User terminal determines available business according to the authority of described user, and shows described available industry for described user Business.

Second aspect, the present invention provides a kind of user terminal, including:

Acquisition module, for gathering the signing messages of user, described signing messages include finger print data and or number of signature According to；

Authority determines module, for determining the authority of described user according to described signing messages；

Service display module, for determining available business according to the authority of described user, and shows institute for described user State available business.

The third aspect, the present invention provides a kind of user terminal, including: memorizer, it is used for storing instruction；

Processor, couples with described memorizer, and described processor is configured to perform storage finger in which memory Make, and described processor is configurable for performing the authority recognition method described in any one of first aspect.

Authority recognition method of the present invention and user terminal, by gathering the signing messages of user, according to described signing messages Determine the authority of user, and determine available business according to the authority of user, and show described available business for described user, Realize the identification to user right, thus protect the safety of miscellaneous service on user terminal；Due to the fingerprint in signing messages Data or signed data have uniqueness and stability, and signed data has not easy imitation, it is ensured that the power of the present invention The identification of limit recognition methods is accurate such that it is able to improve safety.

Accompanying drawing explanation

Fig. 1 is the flow chart of authority recognition embodiment of the method one of the present invention；

Fig. 2 is the flow chart of authority recognition embodiment of the method two of the present invention；

Fig. 3 is the flow chart of authority recognition embodiment of the method three of the present invention；

Fig. 4 is the structural representation of user terminal embodiment one of the present invention；

Fig. 5 is the structural representation of user terminal embodiment two of the present invention；

Fig. 6 is the structural representation of user terminal embodiment of the present invention.

Detailed description of the invention

User terminal described in various embodiments of the present invention can be smart mobile phone (Smart Phone), notebook computer, put down The equipment such as plate computer, portable equipment (Portable Equipment).

Fig. 1 is the flow chart of authority recognition embodiment of the method one of the present invention, as it is shown in figure 1, the method for the present embodiment is permissible Including:

Step 101, user terminal gather user signing messages, described signing messages include finger print data and or signature Data.

Specifically, the architectural feature of each word during signed data can include signature and the behavioral characteristics of signature.

Step 102, user terminal determine the authority of described user according to described signing messages.

Specifically, the signing messages collected in a step 101 can be entered with signing messages in the sample pre-saved Row coupling, to determine the authority of user.

Specifically matching process can be finger print data in the signing messages that will collect and the finger print data of sample enters The architectural feature of the architectural feature in row contrast, the signing messages that will collect and sample carries out the signature contrasting, collecting Behavioral characteristics in information contrasts with the behavioral characteristics of sample, could be arranged to, any one in these three kinds of comparing results Similarity meet the requirements, i.e. can determine that user has the authority that this sample is corresponding；It can also be provided that these three kinds of comparing results In the similarity of each meet the requirements, just determine that user has the authority that this sample is corresponding.Can be according to product when implementing The demand of product design determines, this is not construed as limiting by the present invention.

Further, in one implementation, step 102 can be: by described finger print data and each Permission Levels Corresponding sample fingerprint mates, when the similarity of the described finger print data sample fingerprint corresponding with any one Permission Levels During more than the first preset value, determine that the authority of described user is the Permission Levels that described sample fingerprint is corresponding.

Further, subscriber equipment can also detect the age bracket of this user according to the finger print data collected, further according to the age Section recommends the business that can use for user, to improve the convenience of user operation.

When implementing, user terminal can only arrange an authority, such as this user terminal and be intended for a user Use, at this moment can only preserve a sample, or, can be that this user preserves one group of sample, when gathering when mating During the information match of the signing messages arrived and any one sample, then it is assumed that this user has use authority.

User terminal can also arrange multiple authority, the corresponding different available service of each authority.Below with smart mobile phone As a example by illustrate, the number of its authority and available service corresponding to each authority can be carried out setting of personalization by user Put.The most a certain smart mobile phone has three authorities: highest weight limit, two grades of authorities, three grades of authorities, the owner of this smart mobile phone can To have highest weight limit, repertoire or the business of this smart mobile phone are available service；The available service that two grades of authorities are corresponding For example, call, send note, game function etc., but the functions such as message registration inquiry, document query cannot be used；Three grades Function corresponding to authority for example, consults time and the part learning software specified.Under such a scenario, it is preferred that Mei Gequan Limit can a corresponding sample, when carrying out authority recognition, the signing messages gathered in step 101 and any one sample matches Time, it is determined that this user has the authority that this sample is corresponding.

Step 103, user terminal determine available business according to the authority of described user, and show described for described user Available business.

The present embodiment, by gathering the signing messages in the signing messages of user, the signing messages that will collect and sample Carry out mating to determine the authority of user, and determine available business according to the authority of user, and show for described user described Available business, it is achieved the identification to user right, thus protect the safety of miscellaneous service on user terminal；Due to A.L.S. Finger print data or signed data in breath have uniqueness and stability, and signed data has not easy imitation, it is ensured that The identification of the authority recognition method of the present invention is accurate such that it is able to improve safety.

Use several specific embodiment below, the technical scheme of embodiment of the method shown in Fig. 1 is described in detail.

Fig. 2 is the flow chart of authority recognition embodiment of the method two of the present invention, and the present embodiment is on the basis of embodiment illustrated in fig. 1 On, the method carrying out authority recognition according to the signed data in signing messages is described in detail, as in figure 2 it is shown, this enforcement The method of example may include that

Step 201, user terminal gather the signing messages of user, and described signing messages includes signed data.

Specifically, signed data includes architectural feature and behavioral characteristics.

It should be noted that the present embodiment is introduced the architectural feature included according to signed data and behavioral characteristics is weighed Limit know method for distinguishing, and according to the finger print data in signing messages carry out authority recognition method can with the present embodiment introduce Method is used in combination, and these two kinds of methods can also individually use, and this is not construed as limiting by the embodiment of the present invention.

Step 202, the architectural feature identified in described signed data, described architectural feature includes in described signed data every The font of individual word and fuzziness.

The most specifically, the font of word each in described signed data can be compared with various standard letters, Select the standard letter most like with the word in described signed data, using described standard letter as the word in described signed data Font, standard letter such as can include the Song typeface, regular script, rapid style of writing etc..

After determining font, then calculate obscuring between each word in described signed data and described standard letter Degree.

Further, the method for the fuzziness between word and described standard letter in the described signed data of described calculating, May comprise steps of:

Step one, using the central point of the word in described signed data as zero, obtain in described signed data The coordinate of M reference point in the track of word, M is the integer more than 1；

Step 2, obtain M the fuzzy length put that described M reference point is corresponding relative in the writing of described standard letter Degree L and blur direction θ；

Step 3, the average blur length calculating described M reference point and average blur direction, as described signed data In word and described standard letter between fuzziness.

Wherein, step one can obtain M discrete point in described signed data successively according to the order of handwriting signature； In step 2, M corresponding in the writing of described standard letter can be obtained successively individual discrete first according to the order of handwriting signature Point, then calculate the mould relative to discrete point corresponding in the writing of described standard letter of M the discrete point in signed data respectively Stick with paste length and blur direction.Such as, i-th (i is the integer between 1～M) individual some P in described signed data_iCoordinate be (x_i, y_i), i-th point P in the writing of described standard letter_i' coordinate be (x_i', y_i'), then the blurred length L of i-th point_iFor P_iWith P_i' distance, it may be assumed that

$L_i=\sqrt{{(X_i^{\′}-X_i)}^2+{(Y_i^{\′}-Y_i)}^2};$

Blur direction θ of i-th point_iFor:

${\mathrm{\θ}}_i=\mathrm{arctg}\left(\frac{Y_i^{\′}-Y_i}{X_i^{\′}-X_i}\right)$

When carrying out the judgement of similarity of architectural feature in subsequent steps, the word in signed data can be calculated respectively Average blur length word corresponding with sample average blur length between error, the average mould of word in signed data Stick with paste the error between the average blur direction of direction word corresponding with sample.For convenience, will be flat in subsequent step All blurred length and average blur direction are referred to as fuzziness, and such as, the error of fuzziness is less than the 3rd preset value, refers to number of signature In error between the average blur length of the average blur length word corresponding with sample of the word according to and signed data Error between the average blur direction of the average blur direction word corresponding with sample of word is respectively less than the 3rd preset value.

Wherein, the Computing Principle of fuzziness is as follows:

If (x is y) that original image makes x to f₀(t) and y₀T () represents object component motion t table in the x and y direction respectively Show that the time T of motion is that (x y) is the image g after time of exposure then obscures

$g(x,y)={\∫}_0^{T}f[x-x_0\left(t\right),y-y_0\left(t\right)]\mathrm{dt}---\left(1.1\right)$

From physical phenomenon, motion blur image is actually same scene image through a series of range delay After superposition ultimately forms again image formula (1.1) is carried out Fourier transform can get

$G(u,v)={\∫}_{-\∞}^{\∞}{\∫}_{-\∞}^{\∞}g(x,y)e^{-j2\mathrm{\π}(\mathrm{ux}+\mathrm{vy})}\mathrm{dxdy}$

$={\∫}_{-\∞}^{\∞}{\∫}_{-\∞}^{\∞}\left[{\∫}_0^{T}f\right[x-x_0\left(t\right),y-y_0\left(t\right)\left]\mathrm{dt}\right]e^{-j2\mathrm{\π}(\mathrm{ux}+\mathrm{vy})}\mathrm{dxdy}---\left(1.2\right)$

Transform integrals order formula (1.2) can be write as

$G(u,v)={\∫}_0^T\left[{\∫}_{-\∞}^{\∞}{\∫}_{-\∞}^{\∞}f\right[x-x_0\left(t\right),y-y_0\left(t\right)\left]e^{-j2\mathrm{\π}(\mathrm{ux}+\mathrm{vy})}\mathrm{dxdy}\right]\mathrm{dt}$

$={\∫}_0^{T}F(u,v)e^{-j2\mathrm{\π}[{\mathrm{ux}}_0\left(t\right)+{\mathrm{vy}}_0\left(t\right)]}\mathrm{dt}$

$=F(u,v){\∫}_0^T{e}^{-j2\mathrm{\π}[{\mathrm{ux}}_0\left(t\right)+{\mathrm{vy}}_0\left(t\right)]}\mathrm{dt}---\left(1.3\right)$

Definition H(u, be v):

$H(u,v)={\∫}_0^T{e}^{-j2\mathrm{\π}[{\mathrm{ux}}_0\left(t\right)+{\mathrm{vy}}_0\left(t\right)]}\mathrm{dt}---\left(1.4\right)$

Then, formula (1.3) can be expressed as:

G (u, v)=H (u, v) * F (u, v) (1.5)

Wherein (u is v) that ((u v) is original image f (x, Fourier y) to F to broad image g for x, Fourier transform y) to G Conversion H (u, v) be point spread function h (x, Fourier transform y),

The i.e. transmission function of motion blur assumes that moving object blurred length in time of exposure T is L motion blur direction It is θ with the angle in x direction

The blurred length that then image produces in the x direction is a=Lcos θ, and the blurred length produced in y-direction is b= Lsin θ, formula 1.1 is represented by

$g(x,y)={\∫}_0^{T}f(x-\frac{\mathrm{at}}{T},y-\frac{\mathrm{bt}}{T})\mathrm{dt}---\left(1.6\right)$

Formula (1.6) is its frequency-domain expression of mathematics degradation model of Image Blurred by Motion at Arbitrary Direction

G (u, v)=H (u, v) * F (u, v) (1.7)

Wherein transfer function H (u, v) be:

$H=(u,v)=\frac{T}{\mathrm{\π}(\mathrm{ua}+\mathrm{vb})}\sin \left[\mathrm{\π}(\mathrm{ua}+\mathrm{vb})\right]e^{-\mathrm{j\π}(\mathrm{ua}+\mathrm{ub})}---\left(1.8\right)$

Understood if able to obtain motion blur direction and blurred length L by above analysis, so that it may to obtain according to formula (1.8) To motion blur transmission function according to formula (1.7) carry out inverse-Fourier transform just can appear again original image f (x, y).

If can appear again, original image proves this image recognition success, and the similarity being i.e. equivalent to fuzziness is pre-more than second If value, it is believed that in authority recognition, the judgement to architectural feature meets the authority that described sample is corresponding.

Step 203, the behavioral characteristics identified in described signed data, described behavioral characteristics includes in described signed data every Average time of individual word and or average speed.

Specifically, identify that in described signed data, the method for the average time of each word specifically can be such that

According to the order of handwriting signature, obtain starting to write moment and a receipts moment in described signed data successively, then obtain The time difference in described receipts moment and moment of starting to write, using described time difference as average time of described signed data.

Identify that in described signed data, the method for the average speed of each word is specifically as follows:

According to the order of handwriting signature, obtaining the N number of discrete point in described signed data successively, N is more than or equal to 2；

Obtain the corresponding speed of every pair of adjacent discrete point respectively, as discrete velocity, the number of described discrete velocity For N-1；

Obtain meansigma methods V of N-1 described discrete velocity, using described meansigma methods V as the average speed of described signed data Degree.

It should be noted that there is no ordering relation between above-mentioned step 202 and step 203, when implementing, permissible First carry out step 203 and perform step 202 again.Further, in step 203, the mean time of each word in described signed data is identified Between and average speed between there is no strict sequence requirement, generally can carry out, it is also possible to each word flat is individually identified simultaneously All time or the average speed of each word is individually identified.This is not construed as limiting by the embodiment of the present invention.

When implementing, in step 203, except identifying average time and the average speed of each word, it is also possible to identify The average time of once signed and average speed, such as signature include three words, then identify falling of first character in signed data Moment and triliteral receipts moment, the time difference in triliteral receipts moment with the moment of starting to write of first character is made The average time signed for this；The computational methods of the average speed of once signed are permissible with the method for the average speed of each word Similar, for example: to calculate the average speed of each word in this signature successively, for including triliteral signature, the most permissible Obtain three average speeds, then these three average speeds are averaging, obtain the average speed of this signature.

Correspondingly, the signing messages of the sample that each Permission Levels are corresponding can also include all above parameter, such as sample Architectural feature can include the font of each word in sample, fuzziness；The behavioral characteristics of sample can include in sample The average time of each word and average speed, the average time of whole sample and average speed.

Step 204, by the knot of sample corresponding with each Permission Levels respectively with described behavioral characteristics for described architectural feature Structure feature and behavioral characteristics mate, when described architectural feature and described behavioral characteristics respectively with any one Permission Levels pair When the architectural feature of the sample answered and the similarity of behavioral characteristics are more than the second preset value, determine that the authority of described user is described The Permission Levels that sample is corresponding.

Specifically, can calculate the word corresponding with sample with the fuzziness of standard letter of the word in described signed data with Error between the fuzziness of standard letter, when the error of described fuzziness is less than three preset values, determines described number of signature The similarity of the architectural feature of the word that the architectural feature of the word according to is corresponding with sample is more than the second preset value；

Calculate the average time of described signed data and the error of sample time, and or, the average speed of described signed data Degree and the error of sample speed, when the error of described time is less than the 4th preset value, and or, the error of described speed is less than the During five preset values, determine that the behavioral characteristics of the described signed data similarity with the behavioral characteristics of sample is more than the second preset value；

The authority determining described user is the Permission Levels that described sample is corresponding.

Wherein, error can be to use the form of percentage ratio, the average time of such as signed data and the error of sample time Can be: the absolute value of the difference of the average time of signed data and the average time of sample, with the percentage of the average time of sample Ratio, the 4th preset value can be such as 10%.

3rd preset value, the 4th preset value and the 5th preset value can be identical, it is also possible to different, say, that each ginseng The matching condition of number can be the same or different, when certain parameter meets matching condition, it is determined that the similarity of this parameter Meet the requirements more than the coupling of the second preset value, i.e. this parameter.

Correspondingly, in the judge process of the similarity of said structure feature and behavioral characteristics, if the phase of any one feature Like degree less than the second preset value, then may determine that described user does not has the authority that described sample is corresponding；Or, for signed data When the requirement of coupling is more loose, it is also possible to be set to, when the similarity of any one feature is more than the second preset value, it is determined that The authority of described user is the Permission Levels that described sample is corresponding.

When implementing, the phase of the architectural feature of the word corresponding with sample to the architectural feature of the word in signed data Like the judgement of degree, and the behavioral characteristics of signed data can individually be carried out with the judgement of the similarity of the behavioral characteristics of sample, Can also only judge the similarity of architectural feature, or only judge the similarity of behavioral characteristics.These two judge processs do not have yet Strict sequencing.

And in one of which embodiment, can first judge architectural feature and the sample of first character in signed data The similarity of the architectural feature of the first word in Ben, if the sample that the architectural feature of this first character is corresponding with any one authority Similarity be respectively less than the second preset value, then may determine that described user does not has any use authority, and, it is also possible to the most true This signature fixed is illegal operation, all functions of user terminal is closed, including forbidding that this user writes the next one in signature Word.Certainly, in other embodiments, it is also possible to first judge the behavioral characteristics of first character in signed data with in sample The similarity of behavioral characteristics of the first word, this is not construed as limiting by the embodiment of the present invention.

If this user terminal comprises more than one Permission Levels, then, before performing step 204, can first determine one The sample that individual Permission Levels are corresponding.Specifically, can select according to architectural feature or the behavioral characteristics of first character in signed data Select an immediate sample in preserved sample, in ensuing judge process, the structure of described signed data is special Architectural feature and the behavioral characteristics of behavioral characteristics and the sample of this selection of seeking peace compares.

The present embodiment, by gather user signing messages in architectural feature and or behavioral characteristics, with the structure of sample Feature and behavioral characteristics carry out mating to determine the authority of user, and determine available business according to the authority of user, and for institute State user and show described available business, it is achieved the identification to user right, thus protect the peace of miscellaneous service on user terminal Quan Xing；Owing to architectural feature and the behavioral characteristics of signed data have not easy imitation, it is ensured that the authority recognition side of the present invention The identification of method is accurate such that it is able to improve safety.

Further, refer to the flow chart that Fig. 3, Fig. 3 are authority recognition embodiment of the method three of the present invention, the present embodiment exists On the basis of embodiment illustrated in fig. 2, it is provided that the concrete grammar of a kind of similarity judging signed data.For the ease of describing, Assume that the user terminal of the present embodiment includes Permission Levels, the corresponding signature sample of these Permission Levels.At the present embodiment In only introduce the similarity determination methods of first character in signed data, when implementing, the similarity at first character accords with Closing after requiring, the method that can perform the most successively to judge the similarity of next word, the similarity if all of word all accords with Close requirement, it is determined that this user has the authority of this user terminal.As it is shown on figure 3, the method for the present embodiment may include that

Step 301, the architectural feature gathering first character in signed data and behavioral characteristics.

Specifically, including determining the font of first character in described signed data.Alternatively, it is also possible to same in this step Time determine first character in described signed data with determined by fuzziness compared with standard letter corresponding to font.In this enforcement In the main flow of example, determine that the process of the fuzziness of first character performs in follow-up step 303.

Behavioral characteristics includes average time and the average speed of first character in the present embodiment.

Step 302, judge in described signed data the font of first character whether with the font phase of first character in sample With, the most then perform step 303, if it is not, then perform step 304.

Step 303, the first character determined in described signed data and the fuzziness of standard letter, and calculate described signature Mistake between first character and the fuzziness of standard letter in first character in data and the fuzziness of standard letter and sample Difference.

Step 304, the word determined in described signed data the architectural feature word corresponding with sample architectural feature not Coupling.

It is possible to further determine that this user does not have any authority of user terminal, therefore, owning user terminal Function is closed.

Step 305, when described error is less than three preset values, determine the structure of first character in described signed data Feature matches with the architectural feature of first character in sample.

Step 306, when described fuzziness error more than or equal to three preset values time, determine in described signed data The architectural feature of first character is not mated with the architectural feature of first character in sample.

It is possible to further determine that this user does not have any authority of user terminal, therefore, owning user terminal Function is closed.

Step 307, average time and first character average in sample of the first character calculated in described signed data Error between time, and calculate the average speed of first character in described signed data and first character average in sample Error between speed.

Step 308, when the error of described average time is less than the 4th preset value, and the error of described average speed is less than the During five preset values, determine the behavioral characteristics of first character in described signed data and the behavioral characteristics phase of first character in sample Coupling.

During execution of step 308, it may be determined that the architectural feature of described signed data and behavioral characteristics are all with sample mutually Joining, the similarity that therefore, it can to proceed next word judges, it is judged that process similar with the method for the present embodiment, herein Repeat no more.

Step 309, when the error of described average time is more than or equal to the 4th preset value, or, described average speed When error is more than or equal to five preset values, determine in the behavioral characteristics of first character in described signed data and sample first The behavioral characteristics of individual word does not mates.

It is possible to further determine that this user does not have any authority of user terminal, therefore, owning user terminal Function is closed.

It can be seen that the present embodiment is the strictest authority recognition method, owing to the architectural feature of signed data is with dynamic State feature has not easy imitation, it is ensured that the identification of the authority recognition method of the present invention is accurate such that it is able to improve safety.

Fig. 4 is the structural representation of user terminal embodiment one of the present invention, as shown in Figure 4, the user terminal of the present embodiment 400 may include that acquisition module 1, authority determine module 2 and service display module 3, wherein,

Acquisition module 1, may be used for gather user signing messages, described signing messages include finger print data and or label Name data；

Authority determines module 2, may be used for determining the authority of described user according to described signing messages；

Service display module 3, may be used for the authority according to described user and determines available business, and be described user's exhibition Show described available business.

Further, described authority determines that module 2 specifically may be used for:

The sample fingerprint that described finger print data is corresponding with each Permission Levels is mated, when described finger print data with appoint When the similarity of the sample fingerprint that the Permission Levels of anticipating are corresponding is more than the first preset value, determine that the authority of described user is described The Permission Levels that sample fingerprint is corresponding.

The user terminal of the present embodiment, may be used for performing the technical scheme of embodiment of the method shown in Fig. 1, and it realizes principle Similar, here is omitted.

The user terminal of the present embodiment, by gathering the signing messages of user, by the signing messages collected and sample Signing messages carry out mating to determine the authority of user, and determine available business according to the authority of user, and be described use Described available business is shown at family, it is achieved the identification to user right, thus protects the safety of miscellaneous service on user terminal； Owing to the finger print data in signing messages or signed data have a uniqueness and stability, and signed data has and is difficult to imitate Property, it is ensured that the identification of the authority recognition method of the present invention is accurate such that it is able to improve safety.

Fig. 5 is the structural representation of user terminal embodiment two of the present invention, as it is shown in figure 5, the user terminal of the present embodiment 500 on the basis of embodiment illustrated in fig. 4, and further, described authority determines that module 2 may include that

Architectural feature identification module 21, may be used for identifying the architectural feature in described signed data, described architectural feature Font and fuzziness including word each in described signed data；

Behavioral characteristics identification module 22, may be used for identifying the behavioral characteristics in described signed data, described behavioral characteristics Average time and average speed including word each in described signed data；

Matching module 23, may be used for described architectural feature corresponding with each Permission Levels respectively with described behavioral characteristics The architectural feature of sample and behavioral characteristics mate, when described architectural feature and described behavioral characteristics respectively with any one When the architectural feature of the sample that Permission Levels are corresponding and the similarity of behavioral characteristics are more than the second preset value, determine described user's Authority is the Permission Levels that described sample is corresponding.

Further, described architectural feature identification module 21 specifically may be used for:

The font of word each in described signed data is compared with various standard letters, selects and described signed data In the most like standard letter of word, using described standard letter as the font of the word in described signed data；

Calculate the fuzziness between each word in described signed data and described standard letter.

Further, described architectural feature identification module 21 specifically may be used for:

Using the central point of the word in described signed data as zero, obtain the track of word in described signed data The coordinate of middle M reference point, M is the integer more than 1；

Obtain described M reference point relative to M corresponding in the writing of the described standard letter blurred length L put and mould Stick with paste direction θ；

Calculate the average blur length of described M reference point and average blur direction, as the word in described signed data And the fuzziness between described standard letter.

Further, described behavioral characteristics identification module 22 specifically may be used for:

According to the order of handwriting signature, obtaining the N number of discrete point in described signed data successively, N is more than or equal to 2；

Obtain the corresponding speed of every pair of adjacent discrete point respectively, as discrete velocity, the number of described discrete velocity For N-1；

Obtain meansigma methods V of N-1 described discrete velocity, using described meansigma methods V as the average speed of described signed data Degree.

Further, described behavioral characteristics identification module 22 specifically may be used for:

According to the order of handwriting signature, obtain starting to write moment and a receipts moment in described signed data successively；

Obtain the time difference in described receipts moment and moment of starting to write, using average as described signed data of described time difference Time.

Further, described matching module 23 specifically may be used for:

Calculate the word corresponding with sample with the fuzziness of standard letter of the word in described signed data and standard letter Error between fuzziness, when the error of described fuzziness is less than three preset values, determines word in described signed data The similarity of the architectural feature of the word that architectural feature is corresponding with sample is more than the second preset value；

Calculate the average time of described signed data and the error of sample time, and or, the average speed of described signed data Degree and the error of sample speed, when the error of described time is less than the 4th preset value, and or, the error of described speed is less than the During five preset values, determine that the behavioral characteristics of the described signed data similarity with the behavioral characteristics of sample is more than the second preset value；

The authority determining described user is the Permission Levels that described sample is corresponding.

The user terminal of the present embodiment, may be used for performing the technical scheme of embodiment of the method shown in Fig. 2 or Fig. 3, in fact Existing principle is similar with technique effect, and here is omitted.

Fig. 6 is the structural representation of user terminal embodiment of the present invention, and the user terminal of the present embodiment can be intelligence hands Machine, panel computer etc., as shown in Figure 6, the user terminal 600 of the present embodiment may include that memorizer 601 and processor 602, its In,

Memorizer 601, is used for storing instruction；

Processor 602, couples with described memorizer, and described processor is configured to perform to store in which memory Instruct, and described processor is configurable for performing the authority recognition side described in either method embodiment shown in Fig. 1～4 Method.

One of ordinary skill in the art will appreciate that: all or part of step realizing above-mentioned each method embodiment can be led to The hardware crossing programmed instruction relevant completes.Aforesaid program can be stored in a computer read/write memory medium.This journey Sequence upon execution, performs to include the step of above-mentioned each method embodiment；And aforesaid storage medium includes: ROM, RAM, magnetic disc or The various media that can store program code such as person's CD.

Last it is noted that various embodiments above is only in order to illustrate technical scheme, it is not intended to limit；To the greatest extent The present invention has been described in detail by pipe with reference to foregoing embodiments, it will be understood by those within the art that: it depends on So the technical scheme described in foregoing embodiments can be modified, or the most some or all of technical characteristic is entered Row equivalent；And these amendments or replacement, do not make the essence of appropriate technical solution depart from various embodiments of the present invention technology The scope of scheme.

Claims (11)

1. an authority recognition method, it is characterised in that including:

User terminal gathers the signing messages of user, and described signing messages includes finger print data and signed data；

Described user terminal determines the authority of described user according to described signing messages；

Described user terminal determines available business according to the authority of described user, and shows described available industry for described user Business；

Wherein, described user terminal determines the authority of described user according to described signing messages, including:

Identify the architectural feature in described signed data, described architectural feature include in described signed data the font of each word and Fuzziness；

Identify that the behavioral characteristics in described signed data, described behavioral characteristics include the mean time of each word in described signed data Between and or average speed；

By the architectural feature of sample corresponding with each Permission Levels respectively with described behavioral characteristics for described architectural feature and dynamically Feature is mated, when the knot of the described architectural feature sample corresponding with any one Permission Levels respectively with described behavioral characteristics When the similarity of structure feature and behavioral characteristics is more than the second preset value, determine that the authority of described user is the power that described sample is corresponding Limit grade；

Wherein, the architectural feature in the described signed data of described identification, including:

The font of word each in described signed data is compared with various standard letters, selects and in described signed data The standard letter that word is most like, using described standard letter as the font of the word in described signed data；

Calculate the fuzziness between each word in described signed data and described standard letter；

The fuzziness between each word and described standard letter in the described signed data of described calculating, including:

Using the central point of the word in described signed data as zero, obtain M in the track of the word in described signed data The coordinate of individual reference point, M is the integer more than 1；

Obtain described M reference point and relative to the blurred length L of M point corresponding in the writing of described standard letter and obscure side To θ；

Calculate the average blur length of described M reference point and average blur direction, as the word in described signed data and institute State the fuzziness between standard letter.

Method the most according to claim 1, it is characterised in that described user terminal determines described according to described signing messages The authority of user, including:

The sample fingerprint that described finger print data is corresponding with each Permission Levels is mated, when described finger print data is with any one When the similarity of the sample fingerprint that individual Permission Levels are corresponding is more than the first preset value, determine that the authority of described user is described fingerprint The Permission Levels that sample is corresponding.

Method the most according to claim 1, it is characterised in that the behavioral characteristics in the described signed data of described identification, bag Include:

According to the order of handwriting signature, obtaining the N number of discrete point in described signed data successively, N is more than or equal to 2；

Obtaining the corresponding speed of every pair of adjacent discrete point respectively, as discrete velocity, the number of described discrete velocity is N- 1；

Obtain meansigma methods V of N-1 described discrete velocity, using described meansigma methods V as the average speed of described signed data.

Method the most according to claim 1, it is characterised in that the behavioral characteristics in the described signed data of described identification, bag Include:

According to the order of handwriting signature, obtain starting to write moment and a receipts moment in described signed data successively；

Obtain the time difference in described receipts moment and moment of starting to write, using described time difference as the mean time of described signed data Between.

5. according to the method according to any one of Claims 1 to 4, it is characterised in that described by described architectural feature with described Architectural feature and the behavioral characteristics of the sample that behavioral characteristics is corresponding with each Permission Levels respectively mate, when described structure is special Levy the architectural feature of the sample corresponding with any one Permission Levels respectively with described behavioral characteristics and the similarity of behavioral characteristics During more than the second preset value, determine that the authority of described user is the Permission Levels that described sample is corresponding, including:

Calculate the fuzzy of the word corresponding with sample with the fuzziness of standard letter of the word in described signed data and standard letter Error between degree, when the error of described fuzziness is less than three preset values, determines the structure of word in described signed data The similarity of the architectural feature of the word that feature is corresponding with sample is more than the second preset value；

Calculate the average time of described signed data and the error of sample time, and or, the average speed of described signed data with The error of sample speed, when the error of described time is less than the 4th preset value, and or, the error of described speed is pre-less than the 5th If during value, determine that the behavioral characteristics of the described signed data similarity with the behavioral characteristics of sample is more than the second preset value；

The authority determining described user is the Permission Levels that described sample is corresponding.

6. a user terminal, it is characterised in that including:

Acquisition module, for gathering the signing messages of user, described signing messages includes finger print data and signed data；

Authority determines module, for determining the authority of described user according to described signing messages；

Service display module, for determining available business according to the authority of described user, and is can described in described user shows Business；

Wherein, described authority determines that module includes:

Architectural feature identification module, for identifying that the architectural feature in described signed data, described architectural feature include described label The font of each word and fuzziness in name data；

Behavioral characteristics identification module, for identifying that the behavioral characteristics in described signed data, described behavioral characteristics include described label Average time of each word and average speed in name data；

Matching module, for by the knot of sample corresponding with each Permission Levels respectively with described behavioral characteristics for described architectural feature Structure feature and behavioral characteristics mate, when described architectural feature and described behavioral characteristics respectively with any one Permission Levels pair When the architectural feature of the sample answered and the similarity of behavioral characteristics are more than the second preset value, determine that the authority of described user is described The Permission Levels that sample is corresponding；

Wherein, described architectural feature identification module specifically for:

The font of word each in described signed data is compared with various standard letters, selects and in described signed data The standard letter that word is most like, using described standard letter as the font of the word in described signed data；

Calculate the fuzziness between each word in described signed data and described standard letter；

Described architectural feature identification module is specifically additionally operable to:

Using the central point of the word in described signed data as zero, obtain M in the track of the word in described signed data The coordinate of individual reference point, M is the integer more than 1；

Obtain described M reference point and relative to the blurred length L of M point corresponding in the writing of described standard letter and obscure side To θ；

Calculate the average blur length of described M reference point and average blur direction, as the word in described signed data and institute State the fuzziness between standard letter.

User terminal the most according to claim 6, it is characterised in that described authority determine module specifically for:

The sample fingerprint that described finger print data is corresponding with each Permission Levels is mated, when described finger print data is with any one When the similarity of the sample fingerprint that individual Permission Levels are corresponding is more than the first preset value, determine that the authority of described user is described fingerprint The Permission Levels that sample is corresponding.

User terminal the most according to claim 6, it is characterised in that described behavioral characteristics identification module specifically for:

According to the order of handwriting signature, obtaining the N number of discrete point in described signed data successively, N is more than or equal to 2；

Obtaining the corresponding speed of every pair of adjacent discrete point respectively, as discrete velocity, the number of described discrete velocity is N- 1；

Obtain meansigma methods V of N-1 described discrete velocity, using described meansigma methods V as the average speed of described signed data.

User terminal the most according to claim 6, it is characterised in that described behavioral characteristics identification module specifically for:

According to the order of handwriting signature, obtain starting to write moment and a receipts moment in described signed data successively；

Obtain the time difference in described receipts moment and moment of starting to write, using described time difference as the mean time of described signed data Between.

10. according to the user terminal according to any one of claim 6～9, it is characterised in that described matching module is specifically used In:

Calculate the fuzzy of the word corresponding with sample with the fuzziness of standard letter of the word in described signed data and standard letter Error between degree, when the error of described fuzziness is less than three preset values, determines the structure of word in described signed data The similarity of the architectural feature of the word that feature is corresponding with sample is more than the second preset value；

Calculate the average time of described signed data and the error of sample time, and or, the average speed of described signed data with The error of sample speed, when the error of described time is less than the 4th preset value, and or, the error of described speed is pre-less than the 5th If during value, determine that the behavioral characteristics of the described signed data similarity with the behavioral characteristics of sample is more than the second preset value；

The authority determining described user is the Permission Levels that described sample is corresponding.

11. 1 kinds of user terminals, it is characterised in that including: memorizer, are used for storing instruction；

Processor, couples with described memorizer, and described processor is configured to perform storage instruction in which memory, and Described processor is configurable for performing the authority recognition method as according to any one of Claims 1 to 5.