CN105205451B - Fingerprint authentication method, fingerprint verifying apparatus and terminal - Google Patents
Fingerprint authentication method, fingerprint verifying apparatus and terminal Download PDFInfo
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- CN105205451B CN105205451B CN201510528783.5A CN201510528783A CN105205451B CN 105205451 B CN105205451 B CN 105205451B CN 201510528783 A CN201510528783 A CN 201510528783A CN 105205451 B CN105205451 B CN 105205451B
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- 238000000034 method Methods 0.000 title claims abstract description 34
- 210000003813 thumb Anatomy 0.000 claims description 192
- 210000003811 finger Anatomy 0.000 claims description 82
- 238000004364 calculation method Methods 0.000 claims description 3
- 230000007547 defect Effects 0.000 abstract description 9
- 238000005516 engineering process Methods 0.000 description 10
- 230000006870 function Effects 0.000 description 10
- 238000007689 inspection Methods 0.000 description 6
- 230000015572 biosynthetic process Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000003786 synthesis reaction Methods 0.000 description 4
- 230000010354 integration Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 210000004243 sweat Anatomy 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1365—Matching; Classification
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- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention proposes a kind of fingerprint authentication method, a kind of fingerprint verifying apparatus and a kind of terminals, wherein fingerprint authentication method includes: to receive at least two finger print informations；Determine the similarity of each finger print information and preset fingerprint information at least two finger print informations；According to the similarity and predetermined fingerprint superposition algorithm formula of the default weight of each finger print information and preset fingerprint information, the fingerprint for calculating at least two finger print informations is superimposed comprehensive numerical value；Judge that fingerprint is superimposed whether comprehensive numerical value reaches preset comprehensive numerical value；According to judging result, it is determined whether pass through fingerprint authentication.Pass through the technical solution, improve that existing fingerprint authentication function acquisition fingerprint quantity is few, method of discrimination is single and is easy to happen the defect of misrecognition, increase fingerprint quantity and improves the safety of fingerprint authentication, judge to verify whether to pass through further according to the integrated value of similarity, situations such as can not identifying caused by can also avoiding because of odjective causes such as finger spots, more adapts to the actual demand of user.
Description
Technical field
The present invention relates to field of terminal technology, in particular to a kind of fingerprint authentication method, a kind of fingerprint verifying apparatus
With a kind of terminal.
Background technique
Current fingerprinting scheme is one or more the single fingerprint for first acquiring user, then again by one or more
A list fingerprint is compared with preset one or to a default single fingerprint, and judges whether the user is conjunction according to comparison result
Method user.
But the fingerprint quantity that this fingerprinting scheme needs to acquire is few, method of discrimination is single, and works as legitimate user
When thering is spot, sweat stain or hand to cast off a skin on hand, the phenomenon that will lead to misrecognition appearance.
Therefore, it is necessary to a kind of new technical solution, it can improve that fingerprint authentication function acquisition fingerprint quantity is few, method of discrimination
Defect that is single and being easy to happen misrecognition, promotes the safety of fingerprint authentication.
Summary of the invention
The present invention is based on the above problems, proposes a kind of new technical solution, can improve fingerprint authentication function and adopt
Collection fingerprint quantity is few, method of discrimination is single and is easy to happen the defect of misrecognition, promotes the safety of fingerprint authentication.
In view of this, one aspect of the present invention proposes a kind of fingerprint authentication method, comprising: receive at least two fingerprints
Information；Determine the similarity of each finger print information and preset fingerprint information at least two finger print information；According to described
The similarity and predetermined fingerprint superposition algorithm formula of the default weight of each finger print information and the preset fingerprint information calculate institute
The fingerprint for stating at least two finger print informations is superimposed comprehensive numerical value；Judge that the fingerprint is superimposed whether comprehensive numerical value reaches preset comprehensive
Numerical value；According to judging result, it is determined whether pass through fingerprint authentication.
In the technical scheme, by acquiring the finger print information of at least two fingers, and each finger print information and pre- is determined
The similarity of finger print information is determined, to determine the finger type of each finger print information according to similarity, thus by determining similar
The default weight of degree and each finger print information substitutes into predetermined fingerprint superposition algorithm formula and is calculated, and can obtain this fingerprint inspection
The fingerprint of card is superimposed comprehensive numerical value, is compared it is possible to further which fingerprint is superimposed comprehensive numerical value with preset comprehensive numerical value, when
When fingerprint is superimposed comprehensive numerical value more than or equal to preset comprehensive numerical value, illustrates that fingerprint similarity meets the requirements, just allow to pass through finger
Line verifying, otherwise, no thoroughfare fingerprint authentication.By the technical solution, existing fingerprint authentication function acquisition fingerprint is improved
Quantity is few, method of discrimination is single and is easy to happen the defect of misrecognition, improves fingerprint authentication by increasing fingerprint quantity
Safety, also, judge to verify whether to pass through by the integrated value of similarity, it can also avoid because of the objective original such as finger spot
Situations such as can not identifying because caused by, more adapts to the actual demand of user, and the user experience is improved.
In the above-mentioned technical solutions, it is preferable that each finger print information in determination at least two finger print information
It with the similarity of preset fingerprint information, specifically includes: determining any fingerprint information at least two finger print information and more
The similarity of each of a preset fingerprint information preset fingerprint information；And it will be with described in highest similarity
The finger type of preset fingerprint information is determined as the finger type of any fingerprint information.
In the technical scheme, any fingerprint information is compared with multiple preset fingerprint information, can obtain its with it is every
The similarity of a preset fingerprint information so as to select highest similarity wherein, and determines the finger class of any fingerprint information
Type.For example, when any fingerprint information and preset thumb finger print information similarity highest, it can be by any fingerprint information
It is determined as the finger print information of thumb type.In addition, since the finger print information of thumb and the difference of other fingers are big, Er Qieyi
Denier is similar, and similarity numerical value is high, and similarity can achieve 80%, and hence it is also possible to similar according to the highest of each finger print information
Degree determines that the quantity of thumb finger print information therein is one or two, convenient for further according to thumb finger print information
Quantity selects corresponding predetermined fingerprint superposition algorithm formula.
In the above-mentioned technical solutions, it is preferable that in the hand by the preset fingerprint information with highest similarity
Refer to that type is determined as after the corresponding finger type of any fingerprint information, calculating at least two finger print information
Fingerprint is superimposed before comprehensive numerical value, further includes: according to the corresponding finger type of each finger print information, determines the hand
Refer to that type is the quantity of the finger print information of thumb type；And selection and quantity in multiple predetermined fingerprint superposition algorithm formula
The corresponding predetermined fingerprint superposition algorithm formula.
In the technical scheme, since the finger print information of thumb and the difference of other fingers are big and once similar,
Similarity numerical value is high, and similarity can achieve 80%, therefore the fingerprint weight distributed to thumb is higher, thumb finger print information
Quantity is different, and corresponding predetermined fingerprint superposition algorithm formula and preset comprehensive numerical value are also different, wherein thumb finger print information
When quantity is two, corresponding preset comprehensive numerical value is higher, more easy to identify.
In the above-mentioned technical solutions, it is preferable that corresponding when the quantity of the finger print information of the thumb type is 1
The predetermined fingerprint superposition algorithm formula are as follows:
A=s × p+sq×(q1+q2+…+qN-1)
Wherein, A is that the fingerprint of at least two finger print information is superimposed comprehensive numerical value, and s is the thumb type
Finger print information average weight, sqOther than finger print information for the thumb type at least two finger print information
Other finger print informations average weight, p be the thumb type finger print information the highest similarity, N is described
The quantity of at least two finger print informations, N >=2, q1、q2、…、qN-1The highest of other respectively described finger print informations is similar
Degree.
In the technical scheme, since the finger print information of thumb and the difference of other fingers are big and once similar,
Similarity numerical value is high, and similarity can achieve 80%, therefore the fingerprint weight distributed to thumb is higher, thumb finger print information
Quantity is different, and corresponding predetermined fingerprint superposition algorithm formula and preset comprehensive numerical value are also different.The reachable phase of fingerprint identification technology
Like degree numberical range are as follows: 70% to 80%, for example, can define preset comprehensive numerical value is 75%, i.e., newly acquire the fingerprint of fingerprint
Fingerprint authentication can be successfully passed by being superimposed comprehensive numerical value and being greater than or equal to 75%, otherwise no thoroughfare fingerprint authentication.
In the above-mentioned technical solutions, it is preferable that corresponding when the quantity of the finger print information of the thumb type is 2
The predetermined fingerprint superposition algorithm formula are as follows:
A=s × (p1+p2)+sq×(q1+q2+…+qN-2)
Wherein, A is that the fingerprint of at least two finger print information is superimposed comprehensive numerical value, and s is the thumb type
Finger print information average weight, sqOther than finger print information for the thumb type at least two finger print information
Other finger print informations average weight, p1For the highest similarity of the finger print information of first thumb type, p2
For the highest similarity of the finger print information of second thumb type, N is the number of at least two finger print information
Amount, N >=2, q1、q2、…、qN-2The highest similarity of other respectively described finger print informations.
In the technical scheme, since the finger print information of thumb and the difference of other fingers are big and once similar,
Similarity numerical value is high, and similarity can achieve 80%, therefore the fingerprint weight distributed to thumb is higher, thumb finger print information
Quantity is different, and corresponding predetermined fingerprint superposition algorithm formula and preset comprehensive numerical value are also different.Wherein, thumb finger print information
When quantity is two, corresponding preset comprehensive numerical value is higher, more easy to identify.The reachable similarity numberical range of fingerprint identification technology
Are as follows: 70% to 80%, for example, can define preset comprehensive numerical value is 75%, i.e., newly the fingerprint of acquisition fingerprint is superimposed comprehensive numerical value
Fingerprint authentication can be successfully passed more than or equal to 75%, otherwise no thoroughfare fingerprint authentication.
In the above-mentioned technical solutions, it is preferable that be superimposed synthesis in the fingerprint for calculating at least two finger print information
Before numerical value, further includes: according to the setting command received, be arranged the finger print information of the thumb type average weight and
The preset comprehensive numerical value, wherein the average weight of the finger print information of the thumb type is predetermined value, and described other refer to
The average weight of line information are as follows:
Wherein, sqFor the average weight of other finger print informations, s is being averaged for the finger print information of the thumb type
Weight, N are the quantity of at least two finger print information, and n is the quantity of the finger print information of the thumb type.
In the technical scheme, the default weight of the finger print information of thumb type can be set in advance as fixed number
Value, and the default weight of other finger print informations then needs the finger print information of the total quantity and thumb type according to finger print information
Quantity is calculated.For example, the default weight that the finger print information of thumb type can be set is 1/2, in this way, working as thumb class
When the quantity of the finger print information of type is 1, the average weight of other finger print informations are as follows:
For another example, when the quantity of the finger print information of thumb type is 2, the finger print information of thumb type can be set
Default weight be 1/4, in this way, the average weight of other finger print informations are as follows:
By the technical solution, the weight and preset comprehensive numerical value of finger print information can be set according to the actual situation, so as to
The difficulty for controlling fingerprint authentication, adapts to the actual demand of user.
Another aspect of the present invention also proposed a kind of fingerprint verifying apparatus, comprising: receiving unit receives at least two and refers to
Line information；Similarity determining unit determines each finger print information and preset fingerprint information at least two finger print information
Similarity；Computing unit, according to the similarity of the default weight of each finger print information and the preset fingerprint information and
Predetermined fingerprint superposition algorithm formula, the fingerprint for calculating at least two finger print information are superimposed comprehensive numerical value；Authentication unit, judgement
The fingerprint is superimposed whether comprehensive numerical value reaches preset comprehensive numerical value, for according to judging result, it is determined whether pass through fingerprint inspection
Card.
In the technical scheme, by acquiring the finger print information of at least two fingers, and each finger print information and pre- is determined
The similarity of finger print information is determined, to determine the finger type of each finger print information according to similarity, thus by determining similar
The default weight of degree and each finger print information substitutes into predetermined fingerprint superposition algorithm formula and is calculated, and can obtain this fingerprint inspection
The fingerprint of card is superimposed comprehensive numerical value, is compared it is possible to further which fingerprint is superimposed comprehensive numerical value with preset comprehensive numerical value, when
When fingerprint is superimposed comprehensive numerical value more than or equal to preset comprehensive numerical value, illustrates that fingerprint similarity meets the requirements, just allow to pass through finger
Line verifying, otherwise, no thoroughfare fingerprint authentication.By the technical solution, existing fingerprint authentication function acquisition fingerprint is improved
Quantity is few, method of discrimination is single and is easy to happen the defect of misrecognition, improves fingerprint authentication by increasing fingerprint quantity
Safety, also, judge to verify whether to pass through by the integrated value of similarity, it can also avoid because of the objective original such as finger spot
Situations such as can not identifying because caused by, more adapts to the actual demand of user, and the user experience is improved.
In the above-mentioned technical solutions, it is preferable that the similarity determining unit is specifically used for: determining that described at least two refer to
The similarity of each of any fingerprint information and multiple preset fingerprint information in the line information preset fingerprint information,
And the finger type of the preset fingerprint information with highest similarity is determined as to the finger class of any fingerprint information
Type.
In the technical scheme, any fingerprint information is compared with multiple preset fingerprint information, can obtain its with it is every
The similarity of a preset fingerprint information so as to select highest similarity wherein, and determines the finger class of any fingerprint information
Type.For example, when any fingerprint information and preset thumb finger print information similarity highest, it can be by any fingerprint information
It is determined as the finger print information of thumb type.In addition, since the finger print information of thumb and the difference of other fingers are big, Er Qieyi
Denier is similar, and similarity numerical value is high, and similarity can achieve 80%, and hence it is also possible to similar according to the highest of each finger print information
Degree determines that the quantity of thumb finger print information therein is one or two, convenient for further according to thumb finger print information
Quantity selects corresponding predetermined fingerprint superposition algorithm formula.
In the above-mentioned technical solutions, it is preferable that further include: thumb quantity determination unit will have highest phase described
Like the preset fingerprint information of degree finger type be determined as the corresponding finger type of any fingerprint information after, it is described
The fingerprint for calculating at least two finger print information is superimposed before comprehensive numerical value, corresponding described according to each finger print information
Finger type determines that the finger type is the quantity of the finger print information of thumb type；Formula selecting unit, multiple predetermined
The predetermined fingerprint superposition algorithm formula corresponding with quantity is selected in fingerprint superposition algorithm formula.
In the technical scheme, since the finger print information of thumb and the difference of other fingers are big and once similar,
Similarity numerical value is high, and similarity can achieve 80%, therefore the fingerprint weight distributed to thumb is higher, thumb finger print information
Quantity is different, and corresponding predetermined fingerprint superposition algorithm formula and preset comprehensive numerical value are also different, wherein thumb finger print information
When quantity is two, corresponding preset comprehensive numerical value is higher, more easy to identify.
In the above-mentioned technical solutions, it is preferable that corresponding when the quantity of the finger print information of the thumb type is 1
The predetermined fingerprint superposition algorithm formula are as follows:
A=s × p+sq×(q1+q2+…+qN-1)
Wherein, A is that the fingerprint of at least two finger print information is superimposed comprehensive numerical value, and s is the thumb type
Finger print information average weight, sqOther than finger print information for the thumb type at least two finger print information
Other finger print informations average weight, p be the thumb type finger print information the highest similarity, N is described
The quantity of at least two finger print informations, N >=2, q1、q2、…、qN-1The highest of other respectively described finger print informations is similar
Degree.
In the technical scheme, since the finger print information of thumb and the difference of other fingers are big and once similar,
Similarity numerical value is high, and similarity can achieve 80%, therefore the fingerprint weight distributed to thumb is higher, thumb finger print information
Quantity is different, and corresponding predetermined fingerprint superposition algorithm formula and preset comprehensive numerical value are also different.The reachable phase of fingerprint identification technology
Like degree numberical range are as follows: 70% to 80%, for example, can define preset comprehensive numerical value is 75%, i.e., newly acquire the fingerprint of fingerprint
Fingerprint authentication can be successfully passed by being superimposed comprehensive numerical value and being greater than or equal to 75%, otherwise no thoroughfare fingerprint authentication.
In the above-mentioned technical solutions, it is preferable that corresponding when the quantity of the finger print information of the thumb type is 2
The predetermined fingerprint superposition algorithm formula are as follows:
A=s × (p1+p2)+sq×(q1+q2+…+qN-2)
Wherein, A is that the fingerprint of at least two finger print information is superimposed comprehensive numerical value, and s is the thumb type
Finger print information average weight, sqOther than finger print information for the thumb type at least two finger print information
Other finger print informations average weight, p1For the highest similarity of the finger print information of first thumb type, p2
For the highest similarity of the finger print information of second thumb type, N is the number of at least two finger print information
Amount, N >=2, q1、q2、…、qN-2The highest similarity of other respectively described finger print informations.
In the technical scheme, since the finger print information of thumb and the difference of other fingers are big and once similar,
Similarity numerical value is high, and similarity can achieve 80%, therefore the fingerprint weight distributed to thumb is higher, thumb finger print information
Quantity is different, and corresponding predetermined fingerprint superposition algorithm formula and preset comprehensive numerical value are also different.Wherein, thumb finger print information
When quantity is two, corresponding preset comprehensive numerical value is higher, more easy to identify.The reachable similarity numberical range of fingerprint identification technology
Are as follows: 70% to 80%, for example, can define preset comprehensive numerical value is 75%, i.e., newly the fingerprint of acquisition fingerprint is superimposed comprehensive numerical value
Fingerprint authentication can be successfully passed more than or equal to 75%, otherwise no thoroughfare fingerprint authentication.
In the above-mentioned technical solutions, it is preferable that further include: setting unit calculates at least two fingerprints letter described
The fingerprint of breath is superimposed before comprehensive numerical value, and according to the setting command received, the finger print information of the thumb type is arranged
Average weight and the preset comprehensive numerical value, wherein the average weight of the finger print information of the thumb type is predetermined value,
The average weight of other finger print informations are as follows:
Wherein, sqFor the average weight of other finger print informations, s is being averaged for the finger print information of the thumb type
Weight, N are the quantity of at least two finger print information, and n is the quantity of the finger print information of the thumb type.
In the technical scheme, the default weight of the finger print information of thumb type can be set in advance as fixed number
Value, and the default weight of other finger print informations then needs the finger print information of the total quantity and thumb type according to finger print information
Quantity is calculated.For example, the default weight that the finger print information of thumb type can be set is 1/2, in this way, working as thumb class
When the quantity of the finger print information of type is 1, the average weight of other finger print informations are as follows:
For another example, when the quantity of the finger print information of thumb type is 2, the finger print information of thumb type can be set
Default weight be 1/4, in this way, the average weight of other finger print informations are as follows:
By the technical solution, the weight and preset comprehensive numerical value of finger print information can be set according to the actual situation, so as to
The difficulty for controlling fingerprint authentication, adapts to the actual demand of user.
Another aspect of the invention proposes a kind of terminal, has the function of to appoint in fingerprint authentication, including above-mentioned another aspect
Fingerprint verifying apparatus described in one, therefore, which has fills with the fingerprint authentication described in any one of above-mentioned another aspect
Identical technical effect is set, details are not described herein.
Above-mentioned technical proposal through the invention, improves that existing fingerprint authentication function acquisition fingerprint quantity is few, differentiates
Method is single and is easy to happen the defect of misrecognition, improves the safety of fingerprint authentication by increasing fingerprint quantity, also,
Judge to verify whether to pass through by the integrated value of similarity, it can not caused by can also avoiding because of odjective causes such as finger spots
Situations such as identification, more adapts to the actual demand of user, and the user experience is improved.
Detailed description of the invention
Fig. 1 shows the flow chart of fingerprint authentication method according to an embodiment of the invention；
Fig. 2 shows the block diagrams of fingerprint verifying apparatus according to an embodiment of the invention；
Fig. 3 shows the block diagram of the terminal of embodiment according to the present invention.
Specific embodiment
To better understand the objects, features and advantages of the present invention, with reference to the accompanying drawing and specific real
Applying mode, the present invention is further described in detail.It should be noted that in the absence of conflict, the implementation of the application
Feature in example and embodiment can be combined with each other.
In the following description, numerous specific details are set forth in order to facilitate a full understanding of the present invention, still, the present invention may be used also
To be implemented using other than the one described here other modes, therefore, protection scope of the present invention is not by described below
Specific embodiment limitation.
Fig. 1 shows the flow chart of fingerprint authentication method according to an embodiment of the invention.
As shown in Figure 1, fingerprint authentication method according to an embodiment of the invention, comprising:
Step 102, at least two finger print informations are received.
Step 104, the similarity of each finger print information and preset fingerprint information at least two finger print informations is determined.
Step 106, folded according to the similarity and predetermined fingerprint of the default weight of each finger print information and preset fingerprint information
Computation system formula, the fingerprint for calculating at least two finger print informations are superimposed comprehensive numerical value.
Step 108, judge that fingerprint is superimposed whether comprehensive numerical value reaches preset comprehensive numerical value.
Step 110, according to judging result, it is determined whether pass through fingerprint authentication.
In the technical scheme, by acquiring the finger print information of at least two fingers, and each finger print information and pre- is determined
The similarity of finger print information is determined, to determine the finger type of each finger print information according to similarity, thus by determining similar
The default weight of degree and each finger print information substitutes into predetermined fingerprint superposition algorithm formula and is calculated, and can obtain this fingerprint inspection
The fingerprint of card is superimposed comprehensive numerical value, is compared it is possible to further which fingerprint is superimposed comprehensive numerical value with preset comprehensive numerical value, when
When fingerprint is superimposed comprehensive numerical value more than or equal to preset comprehensive numerical value, illustrates that fingerprint similarity meets the requirements, just allow to pass through finger
Line verifying, otherwise, no thoroughfare fingerprint authentication.By the technical solution, existing fingerprint authentication function acquisition fingerprint is improved
Quantity is few, method of discrimination is single and is easy to happen the defect of misrecognition, improves fingerprint authentication by increasing fingerprint quantity
Safety, also, judge to verify whether to pass through by the integrated value of similarity, it can also avoid because of the objective original such as finger spot
Situations such as can not identifying because caused by, more adapts to the actual demand of user, and the user experience is improved.
In the above-mentioned technical solutions, it is preferable that step 104 specifically includes: determining any at least two finger print informations
The similarity of each preset fingerprint information in finger print information and multiple preset fingerprint information；And it will be with highest similarity
The finger type of preset fingerprint information is determined as the finger type of any fingerprint information.
In the technical scheme, any fingerprint information is compared with multiple preset fingerprint information, can obtain its with it is every
The similarity of a preset fingerprint information so as to select highest similarity wherein, and determines the finger class of any fingerprint information
Type.For example, when any fingerprint information and preset thumb finger print information similarity highest, it can be by any fingerprint information
It is determined as the finger print information of thumb type.In addition, since the finger print information of thumb and the difference of other fingers are big, Er Qieyi
Denier is similar, and similarity numerical value is high, and similarity can achieve 80%, and hence it is also possible to similar according to the highest of each finger print information
Degree determines that the quantity of thumb finger print information therein is one or two, convenient for further according to thumb finger print information
Quantity selects corresponding predetermined fingerprint superposition algorithm formula.
In the above-mentioned technical solutions, it is preferable that true in the finger type for the preset fingerprint information that will have highest similarity
Be set to after the corresponding finger type of any fingerprint information, calculate at least two finger print informations fingerprint be superimposed comprehensive numerical value it
Before, further includes: according to the corresponding finger type of each finger print information, determine that finger type is the finger print information of thumb type
Quantity；And predetermined fingerprint superposition algorithm formula corresponding with quantity is selected in multiple predetermined fingerprint superposition algorithm formula.
In the technical scheme, since the finger print information of thumb and the difference of other fingers are big and once similar,
Similarity numerical value is high, and similarity can achieve 80%, therefore the fingerprint weight distributed to thumb is higher, thumb finger print information
Quantity is different, and corresponding predetermined fingerprint superposition algorithm formula and preset comprehensive numerical value are also different, wherein thumb finger print information
When quantity is two, corresponding preset comprehensive numerical value is higher, more easy to identify.
In the above-mentioned technical solutions, it is preferable that corresponding predetermined when the quantity of the finger print information of thumb type is 1
Fingerprint superposition algorithm formula are as follows:
A=s × p+sq×(q1+q2+…+qN-1)
Wherein, A is that the fingerprint of at least two finger print information is superimposed comprehensive numerical value, and s is the thumb type
Finger print information average weight, sqOther than finger print information for the thumb type at least two finger print information
Other finger print informations average weight, p be thumb type finger print information highest similarity, N be at least two fingerprints
The quantity of information, N >=2, q1、q2、…、qN-1The respectively highest similarity of other finger print informations.
In the technical scheme, since the finger print information of thumb and the difference of other fingers are big and once similar,
Similarity numerical value is high, and similarity can achieve 80%, therefore the fingerprint weight distributed to thumb is higher, thumb finger print information
Quantity is different, and corresponding predetermined fingerprint superposition algorithm formula and preset comprehensive numerical value are also different.The reachable phase of fingerprint identification technology
Like degree numberical range are as follows: 70% to 80%, for example, can define preset comprehensive numerical value is 75%, i.e., newly acquire the fingerprint of fingerprint
Fingerprint authentication can be successfully passed by being superimposed comprehensive numerical value and being greater than or equal to 75%, otherwise no thoroughfare fingerprint authentication.
In the above-mentioned technical solutions, it is preferable that corresponding predetermined when the quantity of the finger print information of thumb type is 2
Fingerprint superposition algorithm formula are as follows:
A=s × (p1+p2)+sq×(q1+q2+…+qN-2)
Wherein, A is that the fingerprint of at least two finger print informations is superimposed comprehensive numerical value, and s is the finger print information of thumb type
Average weight, sqFor being averaged for other finger print informations other than the finger print information of the thumb type at least two finger print informations
Weight, p1For the highest similarity of the finger print information of first thumb type, p2For the finger print information of second thumb type
Highest similarity, N be at least two finger print informations quantity, N >=2, q1、q2、…、qN-2Respectively other finger print informations are most
High similarity.
In the technical scheme, since the finger print information of thumb and the difference of other fingers are big and once similar,
Similarity numerical value is high, and similarity can achieve 80%, therefore the fingerprint weight distributed to thumb is higher, thumb finger print information
Quantity is different, and corresponding predetermined fingerprint superposition algorithm formula and preset comprehensive numerical value are also different.Wherein, thumb finger print information
When quantity is two, corresponding preset comprehensive numerical value is higher, more easy to identify.The reachable similarity numberical range of fingerprint identification technology
Are as follows: 70% to 80%, for example, can define preset comprehensive numerical value is 75%, i.e., newly the fingerprint of acquisition fingerprint is superimposed comprehensive numerical value
Fingerprint authentication can be successfully passed more than or equal to 75%, otherwise no thoroughfare fingerprint authentication.
In the above-mentioned technical solutions, it is preferable that before step 106, further includes: according to the setting command received, if
Set the average weight and the preset comprehensive numerical value of the finger print information of the thumb type, wherein the thumb type
The average weight of finger print information is predetermined value, the average weight of other finger print informations are as follows:
Wherein, sqFor the average weight of other finger print informations, s is being averaged for the finger print information of the thumb type
Weight, N are the quantity of at least two finger print information, and n is the quantity of the finger print information of the thumb type.
In the technical scheme, the default weight of the finger print information of thumb type can be set in advance as fixed number
Value, and the default weight of other finger print informations then needs the finger print information of the total quantity and thumb type according to finger print information
Quantity is calculated.For example, the default weight that the finger print information of thumb type can be set is 1/2, in this way, working as thumb class
When the quantity of the finger print information of type is 1, the average weight of other finger print informations are as follows:
For another example, when the quantity of the finger print information of thumb type is 2, the finger print information of thumb type can be set
Default weight be 1/4, in this way, the average weight of other finger print informations are as follows:
By the technical solution, the weight and preset comprehensive numerical value of finger print information can be set according to the actual situation, so as to
The difficulty for controlling fingerprint authentication, adapts to the actual demand of user.
Fig. 2 shows the block diagrams of fingerprint verifying apparatus according to an embodiment of the invention.
As shown in Fig. 2, fingerprint verifying apparatus 200 according to an embodiment of the invention, comprising: receiving unit 202 connects
Receive at least two finger print informations；Similarity determining unit 204 determines each finger print information at least two finger print informations and pre-
If the similarity of finger print information；Computing unit 206, it is similar to preset fingerprint information according to the default weight of each finger print information
Degree and predetermined fingerprint superposition algorithm formula, the fingerprint for calculating at least two finger print informations are superimposed comprehensive numerical value；Authentication unit 208,
Judge that fingerprint is superimposed whether comprehensive numerical value reaches preset comprehensive numerical value, for according to judging result, it is determined whether pass through fingerprint inspection
Card.
In the technical scheme, by acquiring the finger print information of at least two fingers, and each finger print information and pre- is determined
The similarity of finger print information is determined, to determine the finger type of each finger print information according to similarity, thus by determining similar
The default weight of degree and each finger print information substitutes into predetermined fingerprint superposition algorithm formula and is calculated, and can obtain this fingerprint inspection
The fingerprint of card is superimposed comprehensive numerical value, is compared it is possible to further which fingerprint is superimposed comprehensive numerical value with preset comprehensive numerical value, when
When fingerprint is superimposed comprehensive numerical value more than or equal to preset comprehensive numerical value, illustrates that fingerprint similarity meets the requirements, just allow to pass through finger
Line verifying, otherwise, no thoroughfare fingerprint authentication.By the technical solution, existing fingerprint authentication function acquisition fingerprint is improved
Quantity is few, method of discrimination is single and is easy to happen the defect of misrecognition, improves fingerprint authentication by increasing fingerprint quantity
Safety, also, judge to verify whether to pass through by the integrated value of similarity, it can also avoid because of the objective original such as finger spot
Situations such as can not identifying because caused by, more adapts to the actual demand of user, and the user experience is improved.
In the above-mentioned technical solutions, it is preferable that similarity determining unit 204 is specifically used for: determining that at least two fingerprints are believed
The similarity of each preset fingerprint information in any fingerprint information and multiple preset fingerprint information in breath, and will have highest
The finger type of the preset fingerprint information of similarity is determined as the finger type of any fingerprint information.
In the technical scheme, any fingerprint information is compared with multiple preset fingerprint information, can obtain its with it is every
The similarity of a preset fingerprint information so as to select highest similarity wherein, and determines the finger class of any fingerprint information
Type.For example, when any fingerprint information and preset thumb finger print information similarity highest, it can be by any fingerprint information
It is determined as the finger print information of thumb type.In addition, since the finger print information of thumb and the difference of other fingers are big, Er Qieyi
Denier is similar, and similarity numerical value is high, and similarity can achieve 80%, and hence it is also possible to similar according to the highest of each finger print information
Degree determines that the quantity of thumb finger print information therein is one or two, convenient for further according to thumb finger print information
Quantity selects corresponding predetermined fingerprint superposition algorithm formula.
In the above-mentioned technical solutions, it is preferable that further include: thumb quantity determination unit 210 will have highest similar
The finger type of the preset fingerprint information of degree is determined as after the corresponding finger type of any fingerprint information, calculates at least two and refers to
The fingerprint of line information is superimposed before comprehensive numerical value, according to the corresponding finger type of each finger print information, determines that finger type is big
The quantity of the finger print information of Thumb Type；Formula selecting unit 212, selection and number in multiple predetermined fingerprint superposition algorithm formula
Measure corresponding predetermined fingerprint superposition algorithm formula.
In the technical scheme, since the finger print information of thumb and the difference of other fingers are big and once similar,
Similarity numerical value is high, and similarity can achieve 80%, therefore the fingerprint weight distributed to thumb is higher, thumb finger print information
Quantity is different, and corresponding predetermined fingerprint superposition algorithm formula and preset comprehensive numerical value are also different, wherein thumb finger print information
When quantity is two, corresponding preset comprehensive numerical value is higher, more easy to identify.
In the above-mentioned technical solutions, it is preferable that corresponding predetermined when the quantity of the finger print information of thumb type is 1
Fingerprint superposition algorithm formula are as follows:
A=s × p+sq×(q1+q2+…+qN-1)
Wherein, A is that the fingerprint of at least two finger print information is superimposed comprehensive numerical value, and s is the thumb type
Finger print information average weight, sqOther than finger print information for the thumb type at least two finger print information
Other finger print informations average weight, p be thumb type finger print information highest similarity, N be at least two fingerprints
The quantity of information, N >=2, q1、q2、…、qN-1The respectively highest similarity of other finger print informations.
In the technical scheme, since the finger print information of thumb and the difference of other fingers are big and once similar,
Similarity numerical value is high, and similarity can achieve 80%, therefore the fingerprint weight distributed to thumb is higher, thumb finger print information
Quantity is different, and corresponding predetermined fingerprint superposition algorithm formula and preset comprehensive numerical value are also different.The reachable phase of fingerprint identification technology
Like degree numberical range are as follows: 70% to 80%, for example, can define preset comprehensive numerical value is 75%, i.e., newly acquire the fingerprint of fingerprint
Fingerprint authentication can be successfully passed by being superimposed comprehensive numerical value and being greater than or equal to 75%, otherwise no thoroughfare fingerprint authentication.
In the above-mentioned technical solutions, it is preferable that corresponding predetermined when the quantity of the finger print information of thumb type is 2
Fingerprint superposition algorithm formula are as follows:
A=s × (p1+p2)+sq×(q1+q2+…+qN-2)
Wherein, A is that the fingerprint of at least two finger print informations is superimposed comprehensive numerical value, and s is the finger print information of thumb type
Average weight, sqFor being averaged for other finger print informations other than the finger print information of the thumb type at least two finger print informations
Weight, p1For the highest similarity of the finger print information of first thumb type, p2For the finger print information of second thumb type
Highest similarity, N be at least two finger print informations quantity, N >=2, q1、q2、…、qN-2Respectively other finger print informations are most
High similarity.
In the technical scheme, since the finger print information of thumb and the difference of other fingers are big and once similar,
Similarity numerical value is high, and similarity can achieve 80%, therefore the fingerprint weight distributed to thumb is higher, thumb finger print information
Quantity is different, and corresponding predetermined fingerprint superposition algorithm formula and preset comprehensive numerical value are also different.Wherein, thumb finger print information
When quantity is two, corresponding preset comprehensive numerical value is higher, more easy to identify.The reachable similarity numberical range of fingerprint identification technology
Are as follows: 70% to 80%, for example, can define preset comprehensive numerical value is 75%, i.e., newly the fingerprint of acquisition fingerprint is superimposed comprehensive numerical value
Fingerprint authentication can be successfully passed more than or equal to 75%, otherwise no thoroughfare fingerprint authentication.
In the above-mentioned technical solutions, it is preferable that further include: setting unit 214, in the finger for calculating at least two finger print informations
Line is superimposed before comprehensive numerical value, and according to the setting command received, the average power of the finger print information of the thumb type is arranged
Weight and the preset comprehensive numerical value, wherein the average weight of the finger print information of the thumb type be predetermined value, it is described its
The average weight of his finger print information are as follows:
Wherein, sqFor the average weight of other finger print informations, s is being averaged for the finger print information of the thumb type
Weight, N are the quantity of at least two finger print information, and n is the quantity of the finger print information of the thumb type.
In the technical scheme, the default weight of the finger print information of thumb type can be set in advance as fixed number
Value, and the default weight of other finger print informations then needs the finger print information of the total quantity and thumb type according to finger print information
Quantity is calculated.For example, the default weight that the finger print information of thumb type can be set is 1/2, in this way, working as thumb class
When the quantity of the finger print information of type is 1, the average weight of other finger print informations are as follows:
For another example, when the quantity of the finger print information of thumb type is 2, the finger print information of thumb type can be set
Default weight be 1/4, in this way, the average weight of other finger print informations are as follows:
By the technical solution, the weight and preset comprehensive numerical value of finger print information can be set according to the actual situation, so as to
The difficulty for controlling fingerprint authentication, adapts to the actual demand of user.
Fig. 3 shows the block diagram of the terminal of embodiment according to the present invention.
As shown in figure 3, the terminal 300 of embodiment according to the present invention, has the function of fingerprint authentication, including Fig. 2 shows
Fingerprint verifying apparatus 200, therefore, the terminal 300 have with Fig. 2 shows the identical technical effect of fingerprint verifying apparatus, herein
It repeats no more.
Fingerprint authentication method of the invention is described combined with specific embodiments below:
Fingerprint refers to the streakline of the convex recessed injustice of the positive surface skin of the finger tips of people, and the regular arrangement of the streakline is formed not
Same line type, starting point, terminal, binding site and the bifurcation of the streakline, the referred to as details of fingerprint, by comparing fingerprint
Details carry out fingerprint authentication.And the fingerprint authentication method of the present embodiment is based on single fingerprint recognition, in fingerprint
In identification process, the fingerprint authentication method of the present embodiment can be called directly, this can also be called when single unlocked by fingerprint fails
The fingerprint authentication method of embodiment, which improves the accuracys of fingerprint recognition, specific steps are as follows:
One, the finger print information of legitimate user is acquired.
The method that push type can be used in legitimate user acquires N number of finger by fingerprint acquisition instrument and (contains at least one big thumb
Refer to) fingerprint image, and by the storage of these finger print informations of legitimate user to fingerprint database.Wherein, due to fingerprint database
Space it is limited, can it is appropriate reduce fingerprint collecting quantity, for example, 3 to 5 finger print informations can be reduced to.
Two, the weighted value and rule of each finger print information are formulated.
Since the finger print information of thumb and the finger print information difference of other fingers are big, and the finger print information one of thumb
Denier is similar, and similarity is higher to can achieve 80%, and therefore, for the ease of identification, the fingerprint weighted value distributed to thumb is past
It is past higher.For example, weighted value can be allocated as follows:
1, when there was only 1 thumb fingerprint in legitimate user's fingerprint of acquisition, the weight that thumb is arranged is 1/2, then
The average weight of other fingers are as follows:
2, when containing 2 thumb fingerprints in legitimate user's fingerprint of acquisition, the weight that each thumb is arranged is 1/
4, then the average weight of other fingers are as follows:
Theoretically, when the similarity of two fingerprints reaches 100%, just it is determined as same fingerprint, but since technology has
Limit, can only unlimited approximation theory numerical value, in the present embodiment, the standard figures for judging the similarity of two fingerprints can be defined as
75%, then it is also 75% that more fingerprints, which are superimposed comprehensive numerical value A, in legal fingerprint database.The more fingerprints for acquiring fingerprint are superimposed synthesis
Numerical value, which is more than or equal to 75%, can unlock success, and otherwise unlock failure, is considered as invalid fingerprint for the fingerprint.Of course, it is possible to will sentence
The standard figures of the similarity of disconnected two fingerprints are defined as the other values other than 75%.
Three, it formulates fingerprint integration algorithm and stores.
The finger print information of acquisition is matched on the basis of one-to-many, obtains freshly harvested each fingerprint and legal use
All fingerprints compare one by one in the fingerprint information data library at family obtains highest similar values in similarity, then the finger of multiple fingers
It is as follows that line is superimposed integration algorithm:
1, when there was only 1 thumb fingerprint in legitimate user's fingerprint of acquisition, the fingerprint of thumb type can be set
The default weight of information is 1/2, then
Wherein, N is the total quantity of finger print information, N >=2, A1It is superimposed comprehensive numerical value for the fingerprint of at least two finger print informations,
P be thumb type finger print information highest similarity, be second thumb type finger print information it is described most
High similarity is q1、q2、…、qN-2The respectively highest similarity of other finger print informations.
2, when containing 2 thumb fingerprints in legitimate user's fingerprint of acquisition, each thumb type can be set
The default weight of finger print information is 1/4, then
Wherein, N is the quantity of at least two finger print informations, N >=2, A2It is comprehensive for the fingerprint superposition of at least two finger print informations
Close numerical value, p1For the highest similarity of the finger print information of first thumb type, p2For the fingerprint letter of second thumb type
The highest similarity of breath is q1、q2、…、qN-2The respectively highest similarity of other finger print informations.
More fingerprints superposition integration algorithm in the case of two kinds is respectively stored into memory A1With memory A2In, after being convenient for
Phase calls.So far, initial typing step has been fully completed.
On the basis of above-mentioned initial setting up, when carrying out unlocked by fingerprint verifying, comprising the following steps:
One, the finger print information of input unlock user.
When user uses unlocked by fingerprint, fingerprint is first inputted Fingerprint Identification Unit by user, and Fingerprint Identification Unit can be used first
Single fingerprint identification method carries out one-to-many comparison matching and directly unlocks if single fingerprint recognition passes through；If single fingerprint recognition is lost
It loses, then above-mentioned more fingerprints is called to be superimposed integrated approach unlock.
While Fingerprint Identification Unit carries out one-to-many comparison, each freshly harvested fingerprint and legitimate user's fingerprint are recorded
All fingerprints compare one by one in database obtains similarity, records the highest similarity numerical value of each fingerprint.
Two, the synthesis numerical value of unlock fingerprint is calculated.
According to the highest similarity numerical values recited of each fingerprint, the thumb number m in new acquisition fingerprint is judged, then m=1
Or 2.
1, as m=1, maximum similarity numerical value is assigned to p, remaining highest similarity numerical value assigns q1、q2…qN-1, and
Call memory A1Calculation formula calculate the A of new acquisition fingerprint1Numerical value:
2, as m=2, maximum two similarity numerical value is assigned to p1And p2, the imparting of remaining highest similarity numerical value
q1、q2…qN-2, and call memory A2Calculation formula calculate the A of new acquisition fingerprint2Numerical value:
Three, the synthesis numerical value of comparison input fingerprint.
More fingerprints of new acquisition fingerprint are called to be superimposed comprehensive numerical value A1Or A2Numerical value, and it is more in legal fingerprint database
Fingerprint is superimposed comprehensive numerical value A=75% and carries out size comparison, to judge to input whether fingerprint is legal fingerprint.Wherein:
(1) work as A1(or A2When) >=A, determines that the fingerprint newly inputted is legal fingerprint, successfully unlock；
(2) work as A1(or A2) < A when, determine that the fingerprint that newly inputs is illegal fingerprint, unlock failure.
The technical scheme of the present invention has been explained in detail above with reference to the attached drawings, according to the technical solution of the present invention, improves existing
Some fingerprint authentication function acquisition fingerprint quantity is few, method of discrimination is single and is easy to happen the defect of misrecognition, increases fingerprint
Quantity improves the safety of fingerprint authentication, judges to verify whether to pass through further according to the integrated value of similarity, can also avoid
Situations such as because that can not identify caused by the odjective causes such as finger spot, more adapts to the actual demand of user
These are only the preferred embodiment of the present invention, is not intended to restrict the invention, for those skilled in the art
For member, the invention may be variously modified and varied.All within the spirits and principles of the present invention, it is made it is any modification,
Equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (11)
1. a kind of fingerprint authentication method characterized by comprising
Receive at least two finger print informations；
Determine the similarity of each finger print information and preset fingerprint information at least two finger print information；
Calculation is superimposed with the similarity of the preset fingerprint information and predetermined fingerprint according to the default weight of each finger print information
Method formula, the fingerprint for calculating at least two finger print information are superimposed comprehensive numerical value；
Judge that the fingerprint is superimposed whether comprehensive numerical value reaches preset comprehensive numerical value；
According to judging result, it is determined whether pass through fingerprint authentication；
After the similarity of each finger print information and preset fingerprint information in the determination at least two finger print information,
Before the fingerprint for calculating at least two finger print information is superimposed comprehensive numerical value, further includes:
According to the corresponding finger type of each finger print information, determine that the finger type is the finger print information of thumb type
Quantity；And
The predetermined fingerprint superposition algorithm formula corresponding with quantity is selected in multiple predetermined fingerprint superposition algorithm formula.
2. fingerprint authentication method according to claim 1, which is characterized in that determination at least two finger print information
In each finger print information and preset fingerprint information similarity, specifically include:
Determine each institute in any fingerprint information and multiple preset fingerprint information at least two finger print information
State the similarity of preset fingerprint information；And
The finger type of the preset fingerprint information with highest similarity is determined as to the finger of any fingerprint information
Type.
3. fingerprint authentication method according to claim 2, which is characterized in that when the finger print information of the thumb type
When quantity is 1, the corresponding predetermined fingerprint superposition algorithm formula are as follows:
A=s × p+sq×(q1+q2+…+qN-1)
Wherein, A is that the fingerprint of at least two finger print information is superimposed comprehensive numerical value, and s is the finger of the thumb type
The average weight of line information, sqFor its other than the finger print information of the thumb type at least two finger print information
The average weight of his finger print information, p are the highest similarity of the finger print information of the thumb type, N be it is described at least
The quantity of two finger print informations, N >=2, q1、q2、...、qN-1The highest similarity of other respectively described finger print informations.
4. fingerprint authentication method according to claim 2, which is characterized in that when the finger print information of the thumb type
When quantity is 2, the corresponding predetermined fingerprint superposition algorithm formula are as follows:
A=s × (p1+p2)+sq×(q1+q2+…+qN-2)
Wherein, A is that the fingerprint of at least two finger print information is superimposed comprehensive numerical value, and s is the finger of the thumb type
The average weight of line information, sqFor its other than the finger print information of the thumb type at least two finger print information
The average weight of his finger print information, p1For the highest similarity of the finger print information of first thumb type, p2It is
The highest similarity of the finger print information of two thumb types, N are the quantity of at least two finger print information, N
>=2, q1、q2、...、qN-2The highest similarity of other respectively described finger print informations.
5. fingerprint authentication method according to claim 3 or 4, which is characterized in that calculate at least two finger described
The fingerprint of line information is superimposed before comprehensive numerical value, further includes:
According to the setting command received, be arranged the finger print information of the thumb type average weight and the preset comprehensive
Numerical value, wherein the average weight of the finger print information of the thumb type is predetermined value, other finger print informations are averaged
Weight are as follows:
Wherein, sqFor the average weight of other finger print informations, s is the average weight of the finger print information of the thumb type,
N is the quantity of at least two finger print information, and n is the quantity of the finger print information of the thumb type.
6. a kind of fingerprint verifying apparatus characterized by comprising
Receiving unit receives at least two finger print informations；
Similarity determining unit determines each finger print information and the phase of preset fingerprint information at least two finger print information
Like degree；
Computing unit, according to the similarity and predetermined finger of the default weight of each finger print information and the preset fingerprint information
Line superposition algorithm formula, the fingerprint for calculating at least two finger print information are superimposed comprehensive numerical value；
Authentication unit judges that the fingerprint is superimposed whether comprehensive numerical value reaches preset comprehensive numerical value, for according to judging result, really
It is fixed whether to pass through fingerprint authentication；
Thumb quantity determination unit is determining each finger print information at least two finger print information and preset fingerprint letter
After the similarity of breath, the fingerprint for calculating at least two finger print information is superimposed before comprehensive numerical value, according to described every
The corresponding finger type of a finger print information determines that the finger type is the quantity of the finger print information of thumb type；
Formula selecting unit selects the predetermined fingerprint superposition corresponding with quantity in multiple predetermined fingerprint superposition algorithm formula
Algorithmic formula.
7. fingerprint verifying apparatus according to claim 6, which is characterized in that the similarity determining unit is specifically used for:
Determine each institute in any fingerprint information and multiple preset fingerprint information at least two finger print information
The similarity of preset fingerprint information is stated, and the finger type of the preset fingerprint information with highest similarity is determined as institute
State the finger type of any fingerprint information.
8. fingerprint verifying apparatus according to claim 7, which is characterized in that when the finger print information of the thumb type
When quantity is 1, the corresponding predetermined fingerprint superposition algorithm formula are as follows:
A=s × p+sq×(q1+q2+…+qN-1)
Wherein, A is that the fingerprint of at least two finger print information is superimposed comprehensive numerical value, and s is the finger of the thumb type
The average weight of line information, sqFor its other than the finger print information of the thumb type at least two finger print information
The average weight of his finger print information, p are the highest similarity of the finger print information of the thumb type, N be it is described at least
The quantity of two finger print informations, N >=2, q1、q2、...、qN-1The highest similarity of other respectively described finger print informations.
9. fingerprint verifying apparatus according to claim 7, which is characterized in that when the finger print information of the thumb type
When quantity is 2, the corresponding predetermined fingerprint superposition algorithm formula are as follows:
A=s × (p1+p2)+sq×(q1+q2+…+qN-2)
Wherein, A is that the fingerprint of at least two finger print information is superimposed comprehensive numerical value, and s is the finger of the thumb type
The average weight of line information, sqFor its other than the finger print information of the thumb type at least two finger print information
The average weight of his finger print information, p1For the highest similarity of the finger print information of first thumb type, p2It is
The highest similarity of the finger print information of two thumb types, N are the quantity of at least two finger print information, N
>=2, q1、q2、...、qN-2The highest similarity of other respectively described finger print informations.
10. fingerprint verifying apparatus according to claim 8 or claim 9, which is characterized in that further include:
Setting unit, before the fingerprint for calculating at least two finger print information is superimposed comprehensive numerical value, according to receiving
Setting command, the average weight and the preset comprehensive numerical value of the finger print information of the thumb type are set,
Wherein, the average weight of the finger print information of the thumb type is predetermined value, other finger print informations are averaged
Weight are as follows:
Wherein, sqFor the average weight of other finger print informations, s is the average weight of the finger print information of the thumb type,
N is the quantity of at least two finger print information, and n is the quantity of the finger print information of the thumb type.
11. a kind of terminal, has the function of fingerprint authentication, which is characterized in that including as described in any one of claim 6 to 10
Fingerprint verifying apparatus.
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| CN201510528783.5A CN105205451B (en) | 2015-08-25 | 2015-08-25 | Fingerprint authentication method, fingerprint verifying apparatus and terminal |
| PCT/CN2016/074898 WO2017031969A1 (en) | 2015-08-25 | 2016-02-29 | Fingerprint verification method, fingerprint verification device and terminal |
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| CN201510528783.5A CN105205451B (en) | 2015-08-25 | 2015-08-25 | Fingerprint authentication method, fingerprint verifying apparatus and terminal |
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| CN105205451B (en) * | 2015-08-25 | 2018-12-25 | 东莞酷派软件技术有限公司 | Fingerprint authentication method, fingerprint verifying apparatus and terminal |
| WO2017156753A1 (en) * | 2016-03-17 | 2017-09-21 | 深圳信炜科技有限公司 | Fingerprint processing method, fingerprint processing device, fingerprint recognition system, and electronic device |
| CN106778461A (en) * | 2016-03-17 | 2017-05-31 | 深圳信炜科技有限公司 | Finger prints processing method, finger prints processing device, fingerprint recognition system and electronic equipment |
| CN106295559B (en) * | 2016-08-08 | 2019-08-02 | 京东方科技集团股份有限公司 | A kind of method of data processing, fingerprint identification device and display device |
| CN110021101A (en) * | 2019-03-29 | 2019-07-16 | 深圳市九洲电器有限公司 | A kind of intelligent entrance guard control method and intelligent access control system |
| CN110601853B (en) * | 2019-09-17 | 2021-05-11 | 腾讯科技（深圳）有限公司 | Block chain private key generation method and equipment |
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| CN102052018A (en) * | 2010-11-04 | 2011-05-11 | 谢文军 | Fingerprint/password computer control device |
| CN103442289A (en) * | 2013-07-24 | 2013-12-11 | 北京视博数字电视科技有限公司 | Layer overlay fingerprint imbedding method and device based on texture |
| CN104615927A (en) * | 2014-12-31 | 2015-05-13 | 宇龙计算机通信科技(深圳)有限公司 | Multisystem safe verification method, multisystem safe verification device and terminal |
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| AU2002330406A1 (en) * | 2002-09-13 | 2004-04-30 | Fujitsu Limited | Biosensing instrument and method and identifying device having biosensing function |
| CN101901336B (en) * | 2010-06-11 | 2012-03-14 | 哈尔滨工程大学 | Fingerprint and finger vein bimodal recognition decision level fusion method |
| BR112013001537B8 (en) * | 2010-07-19 | 2021-08-24 | Risst Ltd | fingerprint sensors and systems incorporating fingerprint sensors |
| US8942438B2 (en) * | 2010-07-19 | 2015-01-27 | The University Of Maryland, College Park | Method and apparatus for authenticating swipe biometric scanners |
| CN103793696B (en) * | 2014-02-12 | 2017-02-08 | 北京海鑫科金高科技股份有限公司 | Method and system for identifying fingerprints |
| CN105205451B (en) * | 2015-08-25 | 2018-12-25 | 东莞酷派软件技术有限公司 | Fingerprint authentication method, fingerprint verifying apparatus and terminal |
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|---|---|---|---|---|
| CN102052018A (en) * | 2010-11-04 | 2011-05-11 | 谢文军 | Fingerprint/password computer control device |
| CN103442289A (en) * | 2013-07-24 | 2013-12-11 | 北京视博数字电视科技有限公司 | Layer overlay fingerprint imbedding method and device based on texture |
| CN104615927A (en) * | 2014-12-31 | 2015-05-13 | 宇龙计算机通信科技(深圳)有限公司 | Multisystem safe verification method, multisystem safe verification device and terminal |
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