CN105100098A - Machine card interaction safety authorization method and device - Google Patents

Machine card interaction safety authorization method and device Download PDF

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Publication number
CN105100098A
CN105100098A CN201510446967.7A CN201510446967A CN105100098A CN 105100098 A CN105100098 A CN 105100098A CN 201510446967 A CN201510446967 A CN 201510446967A CN 105100098 A CN105100098 A CN 105100098A
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China
Prior art keywords
fingerprint characteristic
vector
fusion
information
characteristic vector
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Inventor
刘镝
王志军
张尼
王笑帝
汤雅妃
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China United Network Communications Group Co Ltd
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China United Network Communications Group Co Ltd
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Priority to CN201510446967.7A priority Critical patent/CN105100098A/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
    • H04L63/0861—Network architectures or network communication protocols for network security for authentication of entities using biometrical features, e.g. fingerprint, retina-scan
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/06—Authentication

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  • Engineering & Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Hardware Design (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Collating Specific Patterns (AREA)

Abstract

The embodiment of the invention provides a machine-card interaction safety authorization method and device, and relates to the technical field of communication. The method and device can guarantee the safety of machine-card interaction between a third party service APP and an SIM card. The method comprises the steps: obtaining the fingerprint information of a current user; generating a fusion fingerprint characteristic vector of the current user, wherein the fusion fingerprint characteristic vector comprises the information of at least two fingerprint characteristics in the fingerprint information; processing the information of at least two fingerprint characteristics in the fingerprint information through a first preset algorithm, and obtaining a first polynomial coefficient vector corresponding to the fusion fingerprint characteristic vector of the current user; calculating a correlation coefficient between the first polynomial coefficient vector and a preset second polynomial coefficient vector of the fusion fingerprint characteristic vector of a legal user through a second preset algorithm; and generating an authorization message if the correlation coefficient is greater than or equal to a preset threshold value, so as to complete the machine-card interaction.

Description

A kind of mutual security certificate method of machine card and device
Technical field
The present invention relates to communication technical field, particularly relate to a kind of mutual security certificate method of machine card and device.
Background technology
Along with telecommunication intelligent card technique and the development based on SIM (SubscriberIdentityModule, client identification module) card mobile payment service, third party's business day by day increases based on the Realization of Product demand of telecommunication intelligent card technique.Third party business APP (Application, application) by realizing the business functions such as service authentication, identification, data authentication by SIM card, thus improves service security, convenience.
At present, the machine card between third party business APP and SIM card is realize accessing alternately between third party APP and card by being stored in the access privilege control file solidified in PKCS#15 file in SIM card alternately.Wherein, the access privilege control file in SIM card in write card, cannot realize the machine card access rights that new third party business APP is added in long-range rewriting when card is sold in operator business hall.
For solving this problem, proposing in the industry rule control application scheme and replacing solidifying the access control right file in PKCS#15 file.Access rule control realization during machine card between program third party business APP and SIM card can control to apply by access rule in the main security domain that blocks alternately, upgraded by the machine card access control rule of mode to APP business such as OTA (OverTheAir downloads in the air) or card reader.
Rule control application scheme can upgrade the access control right between third party business APP and SIM card better, more neatly.But the program cannot guarantee the fail safe of the machine card interactive access mechanism between third party business APP and SIM card.If malicious application APP or illegal application obtain SIM card access rights, then can pass through SIM machine card access interface, access by force or steal card information, clone SIM card, even distorting SIM card information, like this, consequence will be very serious.
Summary of the invention
Embodiments of the invention provide a kind of mutual security certificate method of machine card and device, solve the problem that cannot ensure the fail safe that machine card between third party business APP and SIM card is mutual at present.
For achieving the above object, embodiments of the invention adopt following technical scheme:
The embodiment of the present invention provides a kind of machine card mutual security certificate method, comprising:
Obtain the finger print information of active user;
Generate the fusion fingerprint characteristic vector of active user, described fusion fingerprint characteristic vector comprises the information of at least two fingerprint characteristics in described finger print information;
Utilize the first preset algorithm, the information of at least two fingerprint characteristics in the fusion fingerprint characteristic vector of described active user is processed, obtain the first system of polynomials number vector of the fusion fingerprint characteristic vector corresponding to described active user;
Utilize the second preset algorithm, the coefficient correlation between the second system of polynomials number vector calculating the fusion fingerprint characteristic vector of described first system of polynomials number vector and default validated user;
If described coefficient correlation is more than or equal to predetermined threshold value, then generate authorization messages, mutual to complete machine card.
The fusion fingerprint characteristic vector of described generation active user, specifically comprises:
From the finger print information of described active user, extract at least two fingerprint characteristics, and obtain the information of each fingerprint characteristic of active user, the information of described fingerprint characteristic at least comprises the coordinate of described fingerprint characteristic;
By the fusion fingerprint characteristic vector of the coordinate of each fingerprint characteristic of described active user composition active user.
Describedly utilize the first preset algorithm, the information of at least two fingerprint characteristics in the fusion fingerprint characteristic vector of described active user processed, obtain the first system of polynomials number vector of the fusion fingerprint characteristic vector corresponding to described active user, specifically comprise:
Utilize the first preset algorithm, the coordinate of each fingerprint characteristic in the fusion fingerprint characteristic vector of described active user is carried out matching, generates the first polynomial curve analytic expression;
Obtain N number of coefficient of described first multinomial Curve Resolution formula, wherein, described N >=2;
N number of coefficient of described first multinomial Curve Resolution formula is formed the first system of polynomials number vector.
Generate the method for the second system of polynomials number vector of the fusion fingerprint characteristic vector of described default validated user, comprising:
Obtain at least two finger print informations of validated user;
Generate the fusion fingerprint characteristic vector of validated user;
Utilize described first preset algorithm, the information of at least two fingerprint characteristics in the fusion fingerprint characteristic vector of described validated user is processed, obtain the second system of polynomials number vector that is corresponding and the fusion fingerprint characteristic vector of described validated user.
The fusion fingerprint characteristic vector of described generation validated user, specifically comprises:
At least two fingerprint characteristics are extracted from each finger print information of at least two finger print informations of described validated user, and obtaining the information of each fingerprint characteristic in each finger print information of validated user, the information of described fingerprint characteristic at least comprises the coordinate of described fingerprint characteristic;
By the fusion fingerprint characteristic vector of the coordinate of each fingerprint characteristic of described validated user composition validated user.
Describedly utilize described first preset algorithm, the information of at least two fingerprint characteristics in the fusion fingerprint characteristic vector of described validated user is processed, obtain the second system of polynomials number vector that is corresponding and the fusion fingerprint characteristic vector of described validated user, specifically comprise:
Utilize described first preset algorithm, the coordinate of each fingerprint characteristic in the fusion fingerprint characteristic vector of described validated user is carried out matching, generates the second polynomial curve analytic expression;
Obtain N number of coefficient of described second multinomial Curve Resolution formula;
N number of coefficient of described second multinomial Curve Resolution formula is formed the second system of polynomials number vector.
The embodiment of the present invention provides a kind of subscriber equipment, and described subscriber equipment comprises:
Acquiring unit, for obtaining the finger print information of active user;
Processing unit, for the fusion fingerprint characteristic vector of active user, described fusion fingerprint characteristic vector comprises the information of at least two fingerprint characteristics in the described finger print information that described acquiring unit gets, and for utilizing the first preset algorithm, the information of at least two fingerprint characteristics in the fusion fingerprint characteristic vector of described active user is processed, obtain the first system of polynomials number vector of the fusion fingerprint characteristic vector corresponding to described active user, and for utilizing the second preset algorithm, coefficient correlation between the second system of polynomials number vector calculating the fusion fingerprint characteristic vector of described first system of polynomials number vector and default validated user, if and be more than or equal to predetermined threshold value for described coefficient correlation, then generate authorization messages, mutual to complete machine card.
Described acquiring unit, specifically for extracting at least two fingerprint characteristics in the finger print information from described active user, and specifically for obtaining the information of each fingerprint characteristic of active user, the information of described fingerprint characteristic at least comprises the coordinate of described fingerprint characteristic;
Described processing unit, specifically for the fusion fingerprint characteristic vector of the coordinate composition active user of each fingerprint characteristic of described active user got by described acquiring unit.
Described processing unit, specifically for utilizing the first preset algorithm, carrying out matching by the coordinate of each fingerprint characteristic in the fusion fingerprint characteristic vector of described active user, generating the first polynomial curve analytic expression;
Described acquiring unit, specifically for obtaining N number of coefficient of described first multinomial Curve Resolution formula, wherein, described N >=2;
Described processing unit, also specifically for N number of coefficient of described first multinomial Curve Resolution formula is formed the first system of polynomials number vector.
Described acquiring unit, also for obtaining at least two finger print informations of validated user;
Described processing unit, also for generating the fusion fingerprint characteristic vector of validated user, and also for utilizing described first preset algorithm, the information of at least two fingerprint characteristics in the fusion fingerprint characteristic vector of described validated user is processed, obtains the second system of polynomials number vector that is corresponding and the fusion fingerprint characteristic vector of described validated user.
Described acquiring unit, specifically for extracting at least two fingerprint characteristics in each finger print information of at least two finger print informations from described validated user, and specifically for obtain validated user each finger print information in the information of each fingerprint characteristic, the information of described fingerprint characteristic at least comprises the coordinate of described fingerprint characteristic;
Described processing unit, specifically for the fusion fingerprint characteristic vector of the coordinate composition validated user of each fingerprint characteristic by described validated user.
Described processing unit, specifically for utilizing described first preset algorithm, carrying out matching by the coordinate of each fingerprint characteristic in the fusion fingerprint characteristic vector of described validated user, generating the second polynomial curve analytic expression;
Described acquiring unit, specifically for obtaining N number of coefficient of described second multinomial Curve Resolution formula;
Described processing unit, also specifically for N number of coefficient of described second multinomial Curve Resolution formula is formed the second system of polynomials number vector.
The embodiment of the present invention provides a kind of mutual security certificate method of machine card and device, subscriber equipment is after getting the finger print information of active user, the fusion fingerprint characteristic vector of at least two fingerprint feature information comprised in the finger print information of active user is generated according to this finger print information, then, subscriber equipment utilizes the first preset algorithm, the information of at least two fingerprint characteristics in the fusion fingerprint characteristic vector of active user is processed, obtain the first system of polynomials number vector of the fusion fingerprint characteristic vector corresponding to active user, finally, subscriber equipment utilizes the second preset algorithm, coefficient correlation between the second system of polynomials number vector calculating the fusion fingerprint characteristic vector of the first system of polynomials number vector and default validated user, if coefficient correlation is more than or equal to predetermined threshold value, then generate authorization messages, mutual to complete machine card.
By the program, subscriber equipment only need carry out certification to the identity of active user, can determine whether user has authorized machine card mutual according to authentication result, and then the fail safe that the machine of guarantee card is mutual.The identity of subscriber equipment to active user verifies it is come by the coefficient correlation calculated between the first system of polynomials number vector of active user and the second system of polynomials number vector of the fusion fingerprint characteristic vector of default validated user.The first system of polynomials number vector due to active user is the fusion fingerprint characteristic vector corresponding to active user, and the fusion fingerprint characteristic of active user vector contains at least two fingerprint feature information in active user's finger print information, therefore, utilize the first system of polynomials number vector of active user to carry out certification to the identity of user, the accuracy of identification of system can be improved.When coefficient correlation when is therebetween more than or equal to predetermined threshold value, illustrate that active user is for validated user, subscriber equipment then generates authorization messages, to ensure the fail safe that machine card between third party business APP and SIM card is mutual, reach the object preventing malicious third parties business APP unauthorized access SIM card, attack SIM card.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the machine card mutual security certificate method flow schematic diagram one of the embodiment of the present invention;
Fig. 2 is the machine card mutual security certificate method flow schematic diagram two of the embodiment of the present invention;
The structural representation of the subscriber equipment of Fig. 3 embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
In addition, term "and/or" herein, being only a kind of incidence relation describing affiliated partner, can there are three kinds of relations in expression, and such as, A and/or B, can represent: individualism A, exists A and B simultaneously, these three kinds of situations of individualism B.In addition, character "/" herein, general expression forward-backward correlation is to the relation liking a kind of "or".
When the embodiment of the present invention mentions the ordinal number such as " first ", " second ", unless the meaning of based on context its certain order of representation, otherwise should be understood to be only the use of differentiation.
Subscriber equipment, can be the wireless terminal that can read user fingerprints information also can be the catv terminal that can read user fingerprints information, wireless terminal can be point to the equipment that user provides voice and/or data connectivity, has the portable equipment of wireless connecting function or is connected to other treatment facilities of radio modem.Wireless terminal can through wireless access network (such as, RAN, RadioAccessNetwork) communicate with one or more core net, wireless terminal can be mobile terminal, as mobile phone (or being called " honeycomb " phone) and the computer with mobile terminal.
Embodiment one
The invention provides a kind of mutual security certificate method of machine card, as shown in Figure 1, the method comprises:
S101, subscriber equipment obtain the finger print information of active user.
S102, subscriber equipment generate the fusion fingerprint characteristic vector of active user.
Wherein, the information that fingerprint characteristic vector comprises at least two fingerprint characteristics in finger print information is merged.
In order to prevent malicious application third party business APP or illegal application access SIM card, attack SIM card, subscriber equipment is when certain third party business APP first time access SIM card, initiate authorization requests, whether request user authorizes this third party business APP to access SIM card.Concrete, by adopting the method for fingerprint recognition to judge, whether authorized third party business APP accesses SIM card to user to subscriber equipment in the embodiment of the present invention, and whether authorization machine card is mutual by adopting the method for fingerprint recognition to judge user for the subscriber equipment namely in the embodiment of the present invention.
Third party business APP refers to complete a certain or a few particular tasks and being developed the computer program run on operating system.The application program that the system that third party business APP in the embodiment of the present invention carries by subscriber equipment is compatible.
Preferably, the system that in the embodiment of the present invention, subscriber equipment carries is Android Android operation system.
Exemplary, the system that subscriber equipment carries is Android operation system, then third party business APP is APK (ApplicationPackageFile, application program APMB package).
APK is the application program installation file form in a kind of Android operation system, the code of an Android application program runs in Android device, must first compile, then be packaged as one just can be run by the file that Android operation system can identify, and this file format also can run by Android operation system identification is APK.The code file (.dex file), file resource (resources), file reading (assets), certificate (certificates) and the inventory file (manifestfile) that are compiled is comprised in an APK file.
Concrete, subscriber equipment is after the request message receiving certain third party business APP first time request access SIM card, and display reminding information, prompting user inputs fingerprint.After subscriber equipment display interface prompting user inputs fingerprint, active user is according to this information input fingerprint, and subscriber equipment, after active user completes input fingerprint, records the finger print information of this user.
Fingerprint is the streakline that the convex injustice of the finger tips positive surface skin fovea superior of people produces.Regular the flying of streakline is arranged in different line types, and the starting point of streakline, terminal, binding site and bifurcation, be called the details of fingerprint, i.e. fingerprint characteristic.
Fingerprint characteristic provides the confirmation of fingerprint uniqueness, comprises destination node, bifurcation, ramification point, isolated point, circling point and short grain etc.Under normal circumstances, fingerprint recognition is undertaken differentiating by more different fingerprint characteristics.
Subscriber equipment, after getting the finger print information of active user, according at least two fingerprint characteristics in the finger print information of active user, generates the fusion fingerprint characteristic vector of active user.
Concrete, subscriber equipment extracts at least two fingerprint characteristics such as streakline end points, bifurcation or short grain etc. from the finger print information of the active user got, and obtain the coordinate of each fingerprint characteristic of active user, the fusion fingerprint characteristic vector of the active user then formed by the coordinate of each fingerprint characteristic of active user.
It should be noted that, subscriber equipment extract from finger print information fingerprint characteristic method can for being extracted by Fingerprint Image Segmentation, image enhaucament, directional information, crestal line extract and after the step such as image thinning by Finger print characteristic abstract, also can be additive method, embodiment of the present invention contrast be not specifically limited.
Exemplary, the subscriber equipment in the embodiment of the present invention can be the electronic equipment setting up wired connection or wireless connections with network side, and can read the electronic equipment of user fingerprints information, as electronic equipments such as PC, panel computer and smart mobile phones.
S103, subscriber equipment utilize the first preset algorithm, process the information of at least two fingerprint characteristics in the fusion fingerprint characteristic vector of active user, obtain the first system of polynomials number vector of the fusion fingerprint characteristic vector corresponding to active user.
Concrete, subscriber equipment utilizes the first preset algorithm, the coordinate of each fingerprint characteristic in the fusion fingerprint characteristic vector of active user is carried out matching, generate the first polynomial curve analytic expression, and obtain N (N >=2) the individual coefficient of the first multinomial Curve Resolution formula, then, N number of coefficient of the first multinomial Curve Resolution formula is formed the first system of polynomials number vector by subscriber equipment.
Wherein, the first preset algorithm in the embodiment of the present invention can be least square method, and also can be Lagrangian cross multiplication, can also be other curve fitting algorithms, the embodiment of the present invention be not specifically limited this.
The first system of polynomials number vector due to active user is the fusion fingerprint characteristic vector corresponding to active user, and the fusion fingerprint characteristic of active user vector contains at least two fingerprint feature information in active user's finger print information, therefore, the first system of polynomials number vector of active user also can be used in the identity information showing active user.
S104, subscriber equipment utilize the second preset algorithm, the coefficient correlation between the second system of polynomials number vector calculating the fusion fingerprint characteristic vector of the first system of polynomials number vector and default validated user.
Subscriber equipment is after obtaining the first system of polynomials number vector of active user, utilize the second preset algorithm, this the first system of polynomials number vector and the second system of polynomials number vector of the fusion fingerprint characteristic vector of the validated user preset are carried out Similarity Measure, obtains coefficient correlation therebetween.
It should be noted that, the second preset algorithm in the embodiment of the present invention can be Cosin method, and also can be Spearman correlation coefficient process, can also be generalized J accard Y-factor method Y, the embodiment of the present invention limit.
Wherein, second system of polynomials number vector of the fusion fingerprint characteristic vector of the validated user preset in the embodiment of the present invention generates when validated user is registered, and the generation method of the second system of polynomials number vector is identical with the generation method of the first system of polynomials number vector of the fusion fingerprint characteristic vector of active user in the embodiment of the present invention.
Concrete, the generation method of the second system of polynomials number vector of the fusion fingerprint characteristic vector of the validated user preset in the embodiment of the present invention is: subscriber equipment obtains at least two finger print informations of validated user, and according at least two finger print informations of validated user, generate the fusion fingerprint characteristic vector of validated user, then, subscriber equipment utilizes the first preset algorithm, the information of at least two fingerprint characteristics in the fusion fingerprint characteristic vector of validated user is processed, obtains the second system of polynomials number vector that is corresponding and the fusion fingerprint characteristic vector of validated user.
In like manner, the process that subscriber equipment generates the fusion fingerprint characteristic vector of validated user is: subscriber equipment extracts at least two fingerprint characteristics from each finger print information of at least two finger print informations of validated user, and obtain the information of each fingerprint characteristic in each finger print information of validated user, wherein, the information of fingerprint characteristic at least comprises coordinate, then, by the fusion fingerprint characteristic vector of the coordinate of each fingerprint characteristic of validated user composition validated user.
Further, subscriber equipment utilizes the first preset algorithm, the coordinate of each fingerprint characteristic in the fusion fingerprint characteristic vector of validated user is carried out matching, generate the second polynomial curve analytic expression, and obtain N number of coefficient of the second multinomial Curve Resolution formula, then, N number of coefficient of the second multinomial Curve Resolution formula is formed the second system of polynomials number vector.
If S105 coefficient correlation is more than or equal to predetermined threshold value, subscriber equipment then generates authorization messages, mutual to complete machine card.
If the coefficient correlation between the first system of polynomials number vector and the second system of polynomials number vector is greater than or equal to predetermined threshold value, then illustrate that active user is validated user, therefore, subscriber equipment generates authorization messages, in order to mutual the carrying out smoothly of machine card.
Wherein, the predetermined threshold value in the embodiment of the present invention can be determined according to practical application request, and the embodiment of the present invention does not limit.
Accordingly, if coefficient correlation is less than predetermined threshold value, then illustrate that the finger print information of active user is not by subscriber equipment identification, active user is likely disabled user, therefore, subscriber equipment can not generate authorization messages, i.e. subscriber equipment the carrying out that stop this machine card mutual.
The embodiment of the present invention provides a kind of machine card mutual security certificate method, subscriber equipment is after getting the finger print information of active user, the fusion fingerprint characteristic vector of at least two fingerprint feature information comprised in the finger print information of active user is generated according to this finger print information, then, subscriber equipment utilizes the first preset algorithm, the information of at least two fingerprint characteristics in the fusion fingerprint characteristic vector of active user is processed, obtain the first system of polynomials number vector of the fusion fingerprint characteristic vector corresponding to active user, finally, subscriber equipment utilizes the second preset algorithm, coefficient correlation between the second system of polynomials number vector calculating the fusion fingerprint characteristic vector of the first system of polynomials number vector and default validated user, if coefficient correlation is more than or equal to predetermined threshold value, then generate authorization messages, mutual to complete machine card.
By the program, subscriber equipment only need carry out certification to the identity of active user, can determine whether that mandate completes machine card mutual according to authentication result, and then the fail safe that the machine of guarantee card is mutual.The identity of subscriber equipment to active user verifies it is come by the coefficient correlation calculated between the first system of polynomials number vector of active user and the second system of polynomials number vector of the fusion fingerprint characteristic vector of default validated user.The first system of polynomials number vector due to active user is the fusion fingerprint characteristic vector corresponding to active user, and the fusion fingerprint characteristic of active user vector contains at least two fingerprint feature information in active user's finger print information, therefore, utilize the first system of polynomials number vector of active user to carry out certification to the identity of user, the accuracy of identification of system can be improved.When coefficient correlation when is therebetween more than or equal to predetermined threshold value, illustrate that active user is for validated user, subscriber equipment then generates authorization messages, to ensure the fail safe that machine card between third party business APP and SIM card is mutual, reach the object preventing malicious third parties business APP unauthorized access SIM card, attack SIM card.
Embodiment two
The invention provides a kind of mutual security certificate method of machine card, as shown in Figure 2, the method comprises:
S201, subscriber equipment receive the request message of request access SIM card first.
Concrete, certain the third party business APP in subscriber equipment is when accessing SIM card first, and this third party business APP can send a request message to the access control execution module of subscriber equipment.The access control execution module of subscriber equipment initiates first application program of user-authorization-request to subscriber equipment according to this request message.
Wherein, the first application program is the built-in application program of subscriber equipment self, and whether authorization machine card is mutual for pointing out user for this first application program.
Exemplary, the subscriber equipment in the embodiment of the present invention can be the electronic equipment setting up wired connection or wireless connections with network side, and can read the electronic equipment of user fingerprints information, as electronic equipments such as PC, panel computer and smart mobile phones.
S202, subscriber equipment display reminding information.
Wherein, information at least comprises the fingerprint induction zone that user inputs finger print information, and can also comprise the word that prompting user inputs finger print information, the present invention does not limit.
Concrete, subscriber equipment is after the request message receiving request access SIM card first, and subscriber equipment display interface display reminding information, prompting user inputs fingerprint, inputs fingerprint to make user by subscriber equipment.
Such as, user A has installed application B in its mobile phone, application B is when accessing SIM card first, the request message of request access SIM card first can be sent, mobile phone is after the request message receiving request access SIM card first, display interface can eject a window, and windows content is text prompt and the fingerprint induction zone that please input fingerprint, so that user A is by oneself fingerprint of fingerprint induction zone input.
S203, subscriber equipment obtain the finger print information of active user's input.
After subscriber equipment display interface display reminding user inputs fingerprint, active user is according to this information input fingerprint, and subscriber equipment, after active user completes input fingerprint, records the finger print information of this user.
Fingerprint is the streakline that the convex injustice of the finger tips positive surface skin fovea superior of people produces.Regular the flying of streakline is arranged in different line types, and the information that everyone fingerprint carries is different.
Wherein, in the embodiment of the present invention, the finger print information of subscriber equipment acquisition active user can be obtained by the method for software collection, and the method that also can be gathered by hardware is obtained, and the embodiment of the present invention does not limit.
S204, subscriber equipment extract at least two fingerprint characteristics from the finger print information got, and obtain the coordinate of each fingerprint characteristic.
Fingerprint characteristic is also referred to as the details of fingerprint, and the starting point of streakline, terminal, binding site and bifurcation are fingerprint characteristic.Fingerprint characteristic provides the confirmation of fingerprint uniqueness, comprises destination node, bifurcation, ramification point, isolated point, circling point and short grain etc.Under normal circumstances, fingerprint recognition is undertaken differentiating by more different fingerprint characteristics.
It should be noted that, extract from finger print information fingerprint characteristic method can for being extracted by Fingerprint Image Segmentation, image enhaucament, directional information, crestal line extract and after the step such as image thinning by Finger print characteristic abstract, also can be additive method, the present invention limit.
Exemplary, subscriber equipment is extracted by Fingerprint Image Segmentation, image enhaucament, directional information extraction, crestal line and after image thinning, original fingerprint image is converted to width fingerprint image clearly.Subscriber equipment obtains the pel array of the n × n centered by current pixel location, and wherein, n is more than or equal to 3, uses the pel array of n × n for identifying position and the type of user fingerprints feature the image after refinement.
Preferably, subscriber equipment in the embodiment of the present invention select centered by current pixel location 3 × 3 pel array.
Table 1 is the picture element array structure schematic diagram in 3 × 3 regions, and wherein T is current pixel location point, a 0, a 1, a 2a 7for surrounding pixel point, pixel value is binarized, and namely 0 or 1.
The picture element array structure schematic diagram in region, table 13 × 3
a 8 a 1 a 2
a 7 T a 3
a 6 a 5 a 4
If only include isolated point, tip point and bifurcation in fingerprint image, then subscriber equipment extracts isolated point, tip point and bifurcation three kinds of fingerprint characteristics from the finger print information got, and obtains the coordinate of each fingerprint characteristic.
Concrete, if T=1, and then be judged as isolated point, be designated as I j, j=1 ... n 1, wherein, n 1for the number of this fingerprint image isolated point.
If T=1, and then be judged as crestal line tip point, be designated as E k, k=1 ... n 2, wherein, n 2for the number of this fingerprint image tip point.
If T=1, and then be judged as bifurcation, be designated as C k, l=1 ... n 3, wherein n 3for the number of this fingerprint image bifurcation.
If the coordinate set of isolated point is:
V I＝{(x I1,y I1),(x I2,y I2),(x I3,y I3),…,(x In1,y In1)}(1)
If the coordinate set of tip point is:
V E＝{(x E1,y E1),(x E2,y E2),(x E3,y E3),…,(x En2,y En2)}(2)
If the coordinate set in crosspoint is:
V C＝{(x C1,y C1),(x C2,y C2),(x C3,y C3),…,(x Cn3,y Cn3)}(3)
S205, subscriber equipment are by the fusion fingerprint characteristic vector of the coordinate of each fingerprint characteristic of active user composition active user.
Subscriber equipment, after the coordinate of each fingerprint characteristic getting active user, by the combinatorial coordinates of each fingerprint characteristic of active user, generates the fusion fingerprint characteristic vector of active user.
Exemplary, if subscriber equipment gets the coordinate of isolated point, tip point and bifurcation three kinds of fingerprint characteristics, and the coordinate of these three kinds of fingerprint characteristics is respectively as shown in formula (1), (2) and (3), then above three kinds of characteristic point coordinate sets are carried out the fusion of serial nature level by subscriber equipment, namely obtain the fusion feature point vector of active user:
V F u s i o n = { V I , V E , V C } = { ( x E 1 , y E 1 ) , ( x E 2 , y E 2 ) , ( x E 3 , y E 3 ) , ... , ( x E n 2 , y E n 2 ) , ( x E 1 , y E 1 ) , ( x E 2 , y E 2 ) , ( x E 3 , y E 3 ) , ... , ( x E n 2 , y E n 2 ) , ( x C 1 , y C 1 ) , ( x C 2 , y C 2 ) , ( x C 3 , y C 3 ) } - - - ( 4 )
S206, subscriber equipment utilize the first preset algorithm, the coordinate of each fingerprint characteristic in the fusion fingerprint characteristic vector of active user is carried out matching, generates the first polynomial curve analytic expression.
Wherein, the first preset algorithm in the embodiment of the present invention can be least square method, and also can be Lagrangian cross multiplication, can also be other curve fitting algorithms, the embodiment of the present invention be not specifically limited this.
Exemplary, user equipment applications least square method carries out matching to the abscissa in the fusion fingerprint characteristic vector (5) of active user and ordinate, generates the first polynomial curve analytic expression:
p(x)＝b 0+b 1x+…+b n-1x n-1+b nx n(6)
S207, subscriber equipment obtain N number of coefficient of the first multinomial Curve Resolution formula, and N number of coefficient of the first multinomial Curve Resolution formula is formed the first system of polynomials number vector, wherein, and N >=2.
Exemplary, subscriber equipment generates the first polynomial curve analytic expression as shown in formula (6), then this subscriber equipment obtains the coefficient of formula (6), and the coefficient of formula (6) is formed the first system of polynomials number vector:
B t e s t = { b 0 t e s t , b 1 t e s t , ... , b n t e s t } - - - ( 7 )
The first system of polynomials number vector due to active user is the fusion fingerprint characteristic vector corresponding to active user, and the fusion fingerprint characteristic of active user vector contains at least two fingerprint feature information in active user's finger print information, therefore, the first system of polynomials number vector of active user also can be used in the identity information showing active user.
S208, subscriber equipment utilize the second preset algorithm, the coefficient correlation between the second system of polynomials number vector calculating the fusion fingerprint characteristic vector of the first system of polynomials number vector and default validated user.
Wherein, second system of polynomials number vector of the fusion fingerprint characteristic vector of the validated user preset in the embodiment of the present invention generates when validated user is registered, and the generation method of the second system of polynomials number vector is identical with the generation method of the first system of polynomials number vector of the fusion fingerprint characteristic vector of active user in the embodiment of the present invention.
Concrete, the generation method of the second system of polynomials number vector of the fusion fingerprint characteristic vector of the validated user preset in the embodiment of the present invention is: subscriber equipment obtains at least two finger print informations of validated user, and according at least two finger print informations of validated user, generate the fusion fingerprint characteristic vector of validated user, then, subscriber equipment utilizes the first preset algorithm, the information of at least two fingerprint characteristics in the fusion fingerprint characteristic vector of validated user is processed, obtains the second system of polynomials number vector that is corresponding and the fusion fingerprint characteristic vector of validated user.
In like manner, the process that subscriber equipment generates the fusion fingerprint characteristic vector of validated user is: subscriber equipment extracts at least two fingerprint characteristics from each finger print information of at least two finger print informations of validated user, and obtain the information of each fingerprint characteristic in each finger print information of validated user, then, by the fusion fingerprint characteristic vector of the information of each fingerprint characteristic of validated user composition validated user.
Further, subscriber equipment utilizes the first preset algorithm, the coordinate of each fingerprint characteristic in the fusion fingerprint characteristic vector of validated user is carried out matching, generate the second polynomial curve analytic expression, and obtain N number of coefficient of the second multinomial Curve Resolution formula, then, N number of coefficient of the second multinomial Curve Resolution formula is formed the second system of polynomials number vector.
Wherein, the embodiment of the present invention is used represent the second system of polynomials number vector.
Concrete, subscriber equipment is after obtaining the first system of polynomials number vector of active user, utilize the second preset algorithm, this the first system of polynomials number vector and the second system of polynomials number vector of the fusion fingerprint characteristic vector of the validated user preset are carried out Similarity Measure, obtains coefficient correlation therebetween.
It should be noted that, the second preset algorithm in the embodiment of the present invention can be Cosin method, and also can be Spearman correlation coefficient process, can also be generalized J accard Y-factor method Y, the embodiment of the present invention limit.
Exemplary, subscriber equipment utilizes Spearman correlation coefficient process, and the method for the coefficient correlation between the second system of polynomials number vector calculating the fusion fingerprint characteristic vector of the first system of polynomials number vector and default validated user can be:
(1), each variable in the first system of polynomials number vector of active user sorts by subscriber equipment, generate the 3rd system of polynomials number vector, and each variable in the second system of polynomials number vector of validated user is sorted, generate the 4th system of polynomials number vector, wherein, predetermined order rule is that ascending order rule or descending are regular.
Subscriber equipment will according to ascending order arrangement, obtain the 3rd system of polynomials number vector B test ′ = { b 0 test ′ , b 1 test ′ , ... , b n test ′ } , Will B r e g i s t e r = { b 0 r e g i s t e r , b 1 r e g i s t e r , ... , b n r e g i s t e r } According to ascending order arrangement, obtain the 4th system of polynomials number vector
(2), subscriber equipment constructs a new vectorial d i, i=1 ... n, makes d ipreserve B test'with B register'difference, namely
{d i＝B test'-B register',i＝1…n}(8)
(3), subscriber devices compute similarity, by formula formula (8) substitute into formula (9),
ρ = 1 - 6 Σ ( B test ′ - B register ′ ) 2 n ( n 2 - 1 ) - - - ( 9 )
Obtain:
ρ = 1 - 6 Σ ( B test ′ - B register ′ ) 2 n ( n 2 - 1 ) - - - ( 10 )
Wherein, the value ρ ∈ [0,1] of coefficient correlation.If the value calculating ρ, more close to 0, illustrates that correlation is less, then active user and validated user are described, and it fails to match; Otherwise the value of ρ is close to 1, and correlation is larger, before illustrating, the match is successful for user and validated user.
If S209 coefficient correlation is more than or equal to predetermined threshold value, subscriber equipment then generates authorization messages, mutual to complete machine card.
If the coefficient correlation between the first system of polynomials number vector and the second system of polynomials number vector is greater than or equal to predetermined threshold value, then illustrate that active user is validated user, therefore, subscriber equipment generates authorization messages, in order to mutual the carrying out smoothly of machine card.
Wherein, the predetermined threshold value in the embodiment of the present invention can be determined according to practical application request, and the embodiment of the present invention does not limit.
Accordingly, if the coefficient correlation between the first system of polynomials number vector and the second system of polynomials number vector is less than predetermined threshold value, then illustrate that active user may be non-legally user, therefore, subscriber equipment can not generate authorization messages, stops this machine card mutual.
The embodiment of the present invention provides a kind of machine card mutual security certificate method, subscriber equipment is after getting the finger print information of active user, the fusion fingerprint characteristic vector of at least two fingerprint feature information comprised in the finger print information of active user is generated according to this finger print information, then, subscriber equipment utilizes the first preset algorithm, the information of at least two fingerprint characteristics in the fusion fingerprint characteristic vector of active user is processed, obtain the first system of polynomials number vector of the fusion fingerprint characteristic vector corresponding to active user, finally, subscriber equipment utilizes the second preset algorithm, coefficient correlation between the second system of polynomials number vector calculating the fusion fingerprint characteristic vector of the first system of polynomials number vector and default validated user, if coefficient correlation is more than or equal to predetermined threshold value, then generate authorization messages, mutual to complete machine card.
By the program, subscriber equipment only need carry out certification to the identity of active user, can determine whether that mandate completes machine card mutual according to authentication result, and then the fail safe that the machine of guarantee card is mutual.The identity of subscriber equipment to active user verifies it is come by the coefficient correlation calculated between the first system of polynomials number vector of active user and the second system of polynomials number vector of the fusion fingerprint characteristic vector of default validated user.The first system of polynomials number vector due to active user is the fusion fingerprint characteristic vector corresponding to active user, and the fusion fingerprint characteristic of active user vector contains at least two fingerprint feature information in active user's finger print information, therefore, utilize the first system of polynomials number vector of active user to carry out certification to the identity of user, the accuracy of identification of system can be improved.When coefficient correlation when is therebetween more than or equal to predetermined threshold value, illustrate that active user is for validated user, subscriber equipment then generates authorization messages, to ensure the fail safe that machine card between third party business APP and SIM card is mutual, reach the object preventing malicious third parties business APP unauthorized access SIM card, attack SIM card.
Embodiment three
The embodiment of the present invention provides a kind of subscriber equipment, and as shown in Figure 3, this subscriber equipment comprises:
Acquiring unit 10, for obtaining the finger print information of active user.
Processing unit 11, for the fusion fingerprint characteristic vector of active user, described fusion fingerprint characteristic vector comprises the information of at least two fingerprint characteristics in the described finger print information that described acquiring unit 10 gets, and for utilizing the first preset algorithm, the information of at least two fingerprint characteristics in the fusion fingerprint characteristic vector of described active user is processed, obtain the first system of polynomials number vector of the fusion fingerprint characteristic vector corresponding to described active user, and for utilizing the second preset algorithm, coefficient correlation between the second system of polynomials number vector calculating the fusion fingerprint characteristic vector of described first system of polynomials number vector and default validated user, if and be more than or equal to predetermined threshold value for described coefficient correlation, then generate authorization messages, mutual to complete machine card.
Further, described acquiring unit 10, specifically for extracting at least two fingerprint characteristics in the finger print information from described active user, and specifically for obtaining the information of each fingerprint characteristic of active user, the information of described fingerprint characteristic at least comprises the coordinate of described fingerprint characteristic.
Further, described processing unit 11, specifically for the fusion fingerprint characteristic vector of the coordinate composition active user of each fingerprint characteristic of described active user got by described acquiring unit 10.
Further, described processing unit 10, specifically for utilizing the first preset algorithm, carrying out matching by the coordinate of each fingerprint characteristic in the fusion fingerprint characteristic vector of described active user, generating the first polynomial curve analytic expression.
Further, described acquiring unit 10, specifically for obtaining N number of coefficient of described first multinomial Curve Resolution formula, wherein, described N >=2.
Further, described processing unit 11, also specifically for N number of coefficient of described first multinomial Curve Resolution formula is formed the first system of polynomials number vector.
Further, described acquiring unit 10, also for obtaining at least two finger print informations of validated user.
Further, described processing unit 11, also for generating the fusion fingerprint characteristic vector of validated user, and also for utilizing described first preset algorithm, the information of at least two fingerprint characteristics in the fusion fingerprint characteristic vector of described validated user is processed, obtains the second system of polynomials number vector that is corresponding and the fusion fingerprint characteristic vector of described validated user.
Further, described acquiring unit 10, specifically for extracting at least two fingerprint characteristics in each finger print information of at least two finger print informations from described validated user, and specifically for obtain validated user each finger print information in the information of each fingerprint characteristic, the information of described fingerprint characteristic at least comprises the coordinate of described fingerprint characteristic.
Further, described processing unit 11, specifically for the fusion fingerprint characteristic vector of the coordinate composition validated user of each fingerprint characteristic by described validated user.
Further, described processing unit 11, specifically for utilizing described first preset algorithm, carrying out matching by the coordinate of each fingerprint characteristic in the fusion fingerprint characteristic vector of described validated user, generating the second polynomial curve analytic expression.
Further, described acquiring unit 10, specifically for obtaining N number of coefficient of described second multinomial Curve Resolution formula.
Further, described processing unit 11, also specifically for N number of coefficient of described second multinomial Curve Resolution formula is formed the second system of polynomials number vector.
The embodiment of the present invention provides a kind of subscriber equipment, comprises acquiring unit and processing unit.Subscriber equipment is after getting the finger print information of active user, the fusion fingerprint characteristic vector of at least two fingerprint feature information comprised in the finger print information of active user is generated according to this finger print information, then, subscriber equipment utilizes the first preset algorithm, the information of at least two fingerprint characteristics in the fusion fingerprint characteristic vector of active user is processed, obtain the first system of polynomials number vector of the fusion fingerprint characteristic vector corresponding to active user, finally, subscriber equipment utilizes the second preset algorithm, coefficient correlation between the second system of polynomials number vector calculating the fusion fingerprint characteristic vector of the first system of polynomials number vector and default validated user, if coefficient correlation is more than or equal to predetermined threshold value, then generate authorization messages, mutual to complete machine card.
By the program, subscriber equipment only need carry out certification to the identity of active user, can determine whether that mandate completes machine card mutual according to authentication result, and then the fail safe that the machine of guarantee card is mutual.The identity of subscriber equipment to active user verifies it is come by the coefficient correlation calculated between the first system of polynomials number vector of active user and the second system of polynomials number vector of the fusion fingerprint characteristic vector of default validated user.The first system of polynomials number vector due to active user is the fusion fingerprint characteristic vector corresponding to active user, and the fusion fingerprint characteristic of active user vector contains at least two fingerprint feature information in active user's finger print information, therefore, utilize the first system of polynomials number vector of active user to carry out certification to the identity of user, the accuracy of identification of system can be improved.When coefficient correlation when is therebetween more than or equal to predetermined threshold value, illustrate that active user is for validated user, subscriber equipment then generates authorization messages, to ensure the fail safe that machine card between third party business APP and SIM card is mutual, reach the object preventing malicious third parties business APP unauthorized access SIM card, attack SIM card.
Those skilled in the art can be well understood to, for convenience and simplicity of description, only be illustrated with the division of above-mentioned each functional module, in practical application, can distribute as required and by above-mentioned functions and be completed by different functional modules, internal structure by device is divided into different functional modules, to complete all or part of function described above.The system of foregoing description, the specific works process of device and unit, with reference to the corresponding process in preceding method embodiment, can not repeat them here.
In several embodiments that the application provides, should be understood that, disclosed system, apparatus and method, can realize by another way.Such as, device embodiment described above is only schematic, such as, the division of described module or unit, be only a kind of logic function to divide, actual can have other dividing mode when realizing, such as multiple unit or assembly can in conjunction with or another system can be integrated into, or some features can be ignored, or do not perform.Another point, shown or discussed coupling each other or direct-coupling or communication connection can be by some interfaces, and the indirect coupling of device or unit or communication connection can be electrical, machinery or other form.
The above; be only the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, is anyly familiar with those skilled in the art in the technical scope that the present invention discloses; change can be expected easily or replace, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection range of described claim.

Claims (12)

1. the mutual security certificate method of machine card, is characterized in that, comprising:
Obtain the finger print information of active user;
Generate the fusion fingerprint characteristic vector of active user, described fusion fingerprint characteristic vector comprises the information of at least two fingerprint characteristics in described finger print information;
Utilize the first preset algorithm, the information of at least two fingerprint characteristics in the fusion fingerprint characteristic vector of described active user is processed, obtain the first system of polynomials number vector of the fusion fingerprint characteristic vector corresponding to described active user;
Utilize the second preset algorithm, the coefficient correlation between the second system of polynomials number vector calculating the fusion fingerprint characteristic vector of described first system of polynomials number vector and default validated user;
If described coefficient correlation is more than or equal to predetermined threshold value, then generate authorization messages, mutual to complete machine card.
2. the mutual security certificate method of machine card according to claim 1, is characterized in that, the fusion fingerprint characteristic vector of described generation active user, specifically comprises:
From the finger print information of described active user, extract at least two fingerprint characteristics, and obtain the information of each fingerprint characteristic of active user, the information of described fingerprint characteristic at least comprises the coordinate of described fingerprint characteristic;
By the fusion fingerprint characteristic vector of the coordinate of each fingerprint characteristic of described active user composition active user.
3. the mutual security certificate method of machine card according to claim 2, it is characterized in that, describedly utilize the first preset algorithm, the information of at least two fingerprint characteristics in the fusion fingerprint characteristic vector of described active user is processed, obtain the first system of polynomials number vector of the fusion fingerprint characteristic vector corresponding to described active user, specifically comprise:
Utilize the first preset algorithm, the coordinate of each fingerprint characteristic in the fusion fingerprint characteristic vector of described active user is carried out matching, generates the first polynomial curve analytic expression;
Obtain N number of coefficient of described first multinomial Curve Resolution formula, wherein, described N >=2;
N number of coefficient of described first multinomial Curve Resolution formula is formed the first system of polynomials number vector.
4. the mutual security certificate method of machine card according to claim 1, is characterized in that, generates the method for the second system of polynomials number vector of the fusion fingerprint characteristic vector of described default validated user, comprising:
Obtain at least two finger print informations of validated user;
Generate the fusion fingerprint characteristic vector of validated user;
Utilize described first preset algorithm, the information of at least two fingerprint characteristics in the fusion fingerprint characteristic vector of described validated user is processed, obtain the second system of polynomials number vector that is corresponding and the fusion fingerprint characteristic vector of described validated user.
5. the mutual security certificate method of machine card according to claim 4, is characterized in that, the fusion fingerprint characteristic vector of described generation validated user, specifically comprises:
At least two fingerprint characteristics are extracted from each finger print information of at least two finger print informations of described validated user, and obtaining the information of each fingerprint characteristic in each finger print information of validated user, the information of described fingerprint characteristic at least comprises the coordinate of described fingerprint characteristic;
By the fusion fingerprint characteristic vector of the coordinate of each fingerprint characteristic of described validated user composition validated user.
6. the mutual security certificate method of machine card according to claim 5, it is characterized in that, describedly utilize described first preset algorithm, the information of at least two fingerprint characteristics in the fusion fingerprint characteristic vector of described validated user is processed, obtain the second system of polynomials number vector that is corresponding and the fusion fingerprint characteristic vector of described validated user, specifically comprise:
Utilize described first preset algorithm, the coordinate of each fingerprint characteristic in the fusion fingerprint characteristic vector of described validated user is carried out matching, generates the second polynomial curve analytic expression;
Obtain N number of coefficient of described second multinomial Curve Resolution formula;
N number of coefficient of described second multinomial Curve Resolution formula is formed the second system of polynomials number vector.
7. a subscriber equipment, is characterized in that, comprising:
Acquiring unit, for obtaining the finger print information of active user;
Processing unit, for the fusion fingerprint characteristic vector of active user, described fusion fingerprint characteristic vector comprises the information of at least two fingerprint characteristics in the described finger print information that described acquiring unit gets, and for utilizing the first preset algorithm, the information of at least two fingerprint characteristics in the fusion fingerprint characteristic vector of described active user is processed, obtain the first system of polynomials number vector of the fusion fingerprint characteristic vector corresponding to described active user, and for utilizing the second preset algorithm, coefficient correlation between the second system of polynomials number vector calculating the fusion fingerprint characteristic vector of described first system of polynomials number vector and default validated user, if and be more than or equal to predetermined threshold value for described coefficient correlation, then generate authorization messages, mutual to complete machine card.
8. subscriber equipment according to claim 7, is characterized in that,
Described acquiring unit, specifically for extracting at least two fingerprint characteristics in the finger print information from described active user, and specifically for obtaining the information of each fingerprint characteristic of active user, the information of described fingerprint characteristic at least comprises the coordinate of described fingerprint characteristic;
Described processing unit, specifically for the fusion fingerprint characteristic vector of the coordinate composition active user of each fingerprint characteristic of described active user got by described acquiring unit.
9. subscriber equipment according to claim 8, is characterized in that,
Described processing unit, specifically for utilizing the first preset algorithm, carrying out matching by the coordinate of each fingerprint characteristic in the fusion fingerprint characteristic vector of described active user, generating the first polynomial curve analytic expression;
Described acquiring unit, specifically for obtaining N number of coefficient of described first multinomial Curve Resolution formula, wherein, described N >=2;
Described processing unit, also specifically for N number of coefficient of described first multinomial Curve Resolution formula is formed the first system of polynomials number vector.
10. subscriber equipment according to claim 7, is characterized in that,
Described acquiring unit, also for obtaining at least two finger print informations of validated user;
Described processing unit, also for generating the fusion fingerprint characteristic vector of validated user, and also for utilizing described first preset algorithm, the information of at least two fingerprint characteristics in the fusion fingerprint characteristic vector of described validated user is processed, obtains the second system of polynomials number vector that is corresponding and the fusion fingerprint characteristic vector of described validated user.
11. subscriber equipmenies according to claim 10, is characterized in that,
Described acquiring unit, specifically for extracting at least two fingerprint characteristics in each finger print information of at least two finger print informations from described validated user, and specifically for obtain validated user each finger print information in the information of each fingerprint characteristic, the information of described fingerprint characteristic at least comprises the coordinate of described fingerprint characteristic;
Described processing unit, specifically for the fusion fingerprint characteristic vector of the coordinate composition validated user of each fingerprint characteristic by described validated user.
12. subscriber equipmenies according to claim 11, is characterized in that,
Described processing unit, specifically for utilizing described first preset algorithm, carrying out matching by the coordinate of each fingerprint characteristic in the fusion fingerprint characteristic vector of described validated user, generating the second polynomial curve analytic expression;
Described acquiring unit, specifically for obtaining N number of coefficient of described second multinomial Curve Resolution formula;
Described processing unit, also specifically for N number of coefficient of described second multinomial Curve Resolution formula is formed the second system of polynomials number vector.
CN201510446967.7A 2015-07-27 2015-07-27 Machine card interaction safety authorization method and device Pending CN105100098A (en)

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Application publication date: 20151125