CN106022058A - Fingerprint unlocking method and terminal - Google Patents
Fingerprint unlocking method and terminal Download PDFInfo
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- CN106022058A CN106022058A CN201610368674.6A CN201610368674A CN106022058A CN 106022058 A CN106022058 A CN 106022058A CN 201610368674 A CN201610368674 A CN 201610368674A CN 106022058 A CN106022058 A CN 106022058A
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- 238000004891 communication Methods 0.000 claims description 18
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- 238000005070 sampling Methods 0.000 claims description 8
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- 238000010168 coupling process Methods 0.000 claims description 5
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- 230000006698 induction Effects 0.000 description 57
- 230000002159 abnormal effect Effects 0.000 description 43
- 230000008439 repair process Effects 0.000 description 20
- 230000008569 process Effects 0.000 description 19
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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Abstract
The embodiment of the invention discloses a fingerprint unlocking method. The fingerprint unlocking method comprises the steps that a fingerprint image is acquired; whether the fingerprint image is an image of a dry finger or an image of a wet finger; when the fingerprint image is the image of the dry finger or the image of the wet finger, downsampling is carried out on a preset fingerprint template; the fingerprint image is matched with the downsampled preset fingerprint template; when the fingerprint image is matched with the downsampled preset fingerprint template successfully, a terminal is unlocked. The embodiment of the invention further provides the terminal. By means of the fingerprint unlocking method and the terminal, when the fingerprint image is the image the dry finger or the image of the wet finger, the preset fingerprint template is downsampled, and therefore the fingerprint unlocking efficiency can be improved.
Description
Technical field
The present invention relates to technical field of electronic equipment, particularly relate to a kind of unlocked by fingerprint method and terminal.
Background technology
Along with the fast development of information technology, the use of terminal (such as mobile phone, panel computer etc.) is increasingly
Universal.Fingerprint identification technology is as the standard configuration technology in terminal, and fingerprint identification technology can be not only used for terminal
Unblock, wake up up, mobile payment etc. be used widely.While fingerprint identification technology is popular,
In order to realize quick release, the unlocked time of terminal is also the direct concern of terminal manufacturer.
In actual application, user is often it can be seen that when finger overdrying or overly moist, need repeatedly by end finger
Stricture of vagina identification module, its is possible to unlock successfully, thus, reduce unlocked by fingerprint efficiency.
Summary of the invention
Embodiments provide a kind of unlocked by fingerprint method and terminal, it is possible to increase unlocked by fingerprint efficiency.
The embodiment of the invention discloses a kind of unlocked by fingerprint method, including:
Obtain fingerprint image；
Judge that whether described fingerprint image is image or the image of wet finger of dry finger；
When the image that described fingerprint image is the image of dry finger or wet finger, preset fingerprint template is entered
Row is down-sampled；
By described fingerprint image with described down-sampled after preset fingerprint template mate；
Described fingerprint image with described down-sampled after preset fingerprint template matching success time, terminal is carried out
Unlock.
As the optional embodiment of one, described acquisition fingerprint image, including:
During user presses fingerprint recognition module, determine the acquisition range of described fingerprint recognition module；
Described acquisition range is divided into multiple region, and obtains the district that in the plurality of region, signal to noise ratio is maximum
Fingerprint image corresponding to territory.
As the optional embodiment of one, described judge described fingerprint image be whether dry finger image or
The image of the wet finger of person, including:
Extract the characteristic point of the subregion of described fingerprint image；
The number of the characteristic point of the number unit of account area of characteristic point based on described subregion；
Judge that the number of characteristic point of described unit are whether less than the first predetermined threshold value, the most then confirms
Described fingerprint image is image or the image of described wet finger of described dry finger.
As the optional embodiment of one, described preset fingerprint template is carried out down-sampled, including:
According to the difference between the target characteristic point number of described feature point number and described preset fingerprint template or
Person's ratio determines the down-sampled proportionality coefficient for described preset fingerprint template；
According to described down-sampled proportionality coefficient, described preset fingerprint template is carried out down-sampled.
As the optional embodiment of one, described preset fingerprint template is carried out down-sampled, including:
Determine the ratio of signal to noise ratio between described fingerprint image and described preset fingerprint template；
Ratio according to described signal to noise ratio reduces and carries out sampling to described preset fingerprint template.
As the optional embodiment of one, described preset fingerprint template is carried out down-sampled before, described side
Method also includes:
Described fingerprint image is mated with preset fingerprint template, obtains matching value；
Judge whether described matching value is in preset range, the most then perform described preset fingerprint template to be entered
The step that row is down-sampled.
As the optional embodiment of one, described acquisition the first fingerprint image, including:
When user presses fingerprint recognition module, determine the pickup area of described fingerprint recognition module；
Described n2 normal bottom data value is obtained by n2 normal induction electrode in described pickup area,
Described n1 abnormal bottom data value is obtained by n1 of described pickup area abnormal induction electrode, described
N1 abnormal bottom data value and described n2 normal bottom data value are described fingerprint image, and described fingerprint is known
The induction electrode array of other module at least includes described n1 abnormal induction electrode and described n2 normal induction
Electrode, described n1, described n2 are positive integer；
The described n2 that described n2 normal induction electrode according to described fingerprint recognition module collects normal
Bottom data value, determines described n1 the bottom repair data value that described n1 abnormal induction electrode is corresponding；
The first fingerprint is generated according to described n2 normal bottom data value and described n1 bottom repair data value
Image.
Alternatively, the described institute collected according to described n2 the normal induction electrode of described fingerprint recognition module
State n2 normal bottom data value, determine that described n1 the bottom that described n1 abnormal induction electrode is corresponding is repaiied
Complex data value, including:
Described pickup area is divided into multiple isolated area, wherein, each independence in the plurality of isolated area
Region all comprise multiple by described normal induction electrode gather described normal bottom data value and at least one by
The described abnormal bottom data value that described abnormal induction electrode gathers；
Determine the average of all described normal bottom data value in described isolated area i, and described average is made
For the bottom repair data value that the described abnormal induction electrode in described isolated area i is corresponding, wherein said independence
Region i is any one in the plurality of isolated area.
Embodiment of the present invention second aspect provides a kind of terminal, including:
Acquiring unit, is used for obtaining fingerprint image；
First judging unit, for judging whether the described fingerprint image that described acquiring unit obtains is dry finger
Image or the image of wet finger；
Down-sampled unit, for the first judged result of described judging unit be described fingerprint image be dry hands
When the image referred to or the image of wet finger, preset fingerprint template is carried out down-sampled；
First matching unit, for by described fingerprint image with described down-sampled after preset fingerprint template carry out
Coupling；
Solving lock unit, being used at the matching result of described first matching unit is described fingerprint image and described fall
During preset fingerprint template matching success after sampling, terminal is unlocked.
As the optional embodiment of one, described acquiring unit includes:
First determines module, for during user presses fingerprint recognition module, determines that described fingerprint is known
The acquisition range of other module；
Acquisition module, for determining that the described acquisition range that module determines is divided into multiple region by described first,
And obtain the fingerprint image corresponding to region that in the plurality of region, signal to noise ratio is maximum.
As the optional embodiment of one, described first judging unit includes:
Extraction module, for extracting the characteristic point of the subregion of described fingerprint image；
Computing module, based on the number of the characteristic point of the described subregion extracted based on described extraction module
Calculate the number of the characteristic point of unit are；
Judge module, for judging that the number of the characteristic point of described unit are that described computing module calculates is
No first predetermined threshold value that is less than, the most then confirm that described fingerprint image is image or the institute of described dry finger
State the image of wet finger.
As the optional embodiment of one, described down-sampled unit includes:
Second determines module, for the target characteristic according to described feature point number Yu described preset fingerprint template
Difference or ratio between some number determine the down-sampled proportionality coefficient for described preset fingerprint template；
First down-sampled module, for determining, according to described second, the described down-sampled proportionality coefficient that module determines
Described preset fingerprint template is carried out down-sampled.
As the optional embodiment of one, described down-sampled unit includes:
3rd determines module, for determining the signal to noise ratio between described fingerprint image and described preset fingerprint template
Ratio；
Second down-sampled module, for determining that according to the described 3rd the ratio of described signal to noise ratio that module determines reduces
Carry out sampling to described preset fingerprint template.
As the optional embodiment of one, described terminal also includes:
Second matching unit, for being mated with preset fingerprint template by described fingerprint image, is mated
Value；
Second judging unit, for judging whether the described matching value of described second matching unit coupling is in pre-
If scope, if the judged result of described second judging unit is yes, then by described down-sampled unit to default finger
Stricture of vagina template carries out down-sampled.
As the optional embodiment of one, alternatively, described first acquiring unit includes:
4th determines module, for when user presses fingerprint recognition module, determines described fingerprint recognition module
Pickup area；
First acquisition module, obtains described n2 by n2 normal induction electrode in described pickup area
Normal bottom data value, obtains described n1 exception by n1 of described pickup area abnormal induction electrode
Bottom data value, described n1 abnormal bottom data value and described n2 normal bottom data value are described finger
Print image, the induction electrode array of described fingerprint recognition module at least include described n1 abnormal induction electrode and
Described n2 normal induction electrode, described n1, described n2 are positive integer；
Repair module, for collect according to described n2 the normal induction electrode of described fingerprint recognition module
Described n2 normal bottom data value, determines described n1 the bottom that described n1 abnormal induction electrode is corresponding
Repair data value；
Generation module, for according to described n2 normal bottom data value and described n1 bottom repair data
Value generates the first fingerprint image.
Alternatively, described repair module includes:
Piecemeal module, for being divided into multiple isolated area, wherein, the plurality of independence by described pickup area
In region, each isolated area all comprises multiple described normal bottom data gathered by described normal induction electrode
Value and at least one described abnormal bottom data value gathered by described abnormal induction electrode；
5th determines module, for determining the equal of all described normal bottom data value in described isolated area i
Value, and described average is repaired number as the bottom that the described abnormal induction electrode in described isolated area i is corresponding
According to value, wherein said isolated area i is any one in the plurality of isolated area.
The embodiment of the present invention third aspect provides a kind of terminal, including:
Processor, memorizer, communication interface, fingerprint recognition module and communication bus, described processor, institute
State memorizer, described fingerprint recognition module and described communication interface connected by described communication bus and complete phase
Communication between Hu；
Described memorizer storage has executable program code, described fingerprint recognition module to be used for obtaining fingerprint image,
Described communication interface is used for radio communication；
Described processor, for calling the described executable program code in described memorizer, performs such as first party
The part or all of step of the method described by face.
It can be seen that in the embodiment of the present invention, obtain fingerprint image, be the image of dry finger at fingerprint image
Or during the image of wet finger, preset fingerprint template is carried out fall and adopts, by fingerprint image with down-sampled after pre-
If fingerprint template mates, fingerprint image with down-sampled after preset fingerprint template matching success time, right
Terminal is unlocked.Owing to preset fingerprint template is carried out down-sampled, therefore, it is dry finger at fingerprint image
Image or during the image of wet finger, be more beneficial for improving unlocked by fingerprint efficiency.
Accompanying drawing explanation
For the technical scheme being illustrated more clearly that in the embodiment of the present invention, below will be to required in embodiment
The accompanying drawing used is briefly described, it should be apparent that, the accompanying drawing in describing below is some realities of the present invention
Execute example, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to
Other accompanying drawing is obtained according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of the first embodiment of a kind of unlocked by fingerprint method disclosed in the embodiment of the present invention；
Fig. 2 is the schematic flow sheet of the second embodiment of a kind of unlocked by fingerprint method disclosed in the embodiment of the present invention；
Fig. 3 a is the structural representation of the first embodiment of a kind of terminal disclosed in the embodiment of the present invention；
Fig. 3 b is the structural representation of the acquiring unit of the terminal described in Fig. 3 a disclosed in the embodiment of the present invention
Figure；
Fig. 3 c is that the structure of the first judging unit of the terminal described in Fig. 3 a disclosed in the embodiment of the present invention is shown
It is intended to；
Fig. 3 d is that the structure of the down-sampled unit of the terminal described in Fig. 3 a disclosed in the embodiment of the present invention is shown
It is intended to；
Fig. 3 e is the structural representation of the down-sampled unit of the terminal described in Fig. 3 a disclosed in the embodiment of the present invention
Figure；
Fig. 3 f is the another structural representation of the first embodiment of a kind of terminal disclosed in the embodiment of the present invention；
Fig. 4 is the structural representation of the second embodiment of a kind of terminal disclosed in the embodiment of the present invention；
Fig. 5 is the structural representation of a kind of mobile phone disclosed in the embodiment of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clearly
Chu, it is fully described by, it is clear that described embodiment is a part of embodiment of the present invention rather than all
Embodiment.Based on the embodiment in the present invention, those of ordinary skill in the art are not making creative labor
The every other embodiment obtained under dynamic premise, broadly falls into the scope of protection of the invention.
Term " first " in description and claims of this specification and described accompanying drawing, " second ", "
Three " and " the 4th " etc. is for distinguishing different object rather than for describing particular order.Additionally, art
Language " includes " and " having " and their any deformation, it is intended that cover non-exclusive comprising.Such as
Contain series of steps or the process of unit, method, system, product or equipment are not limited to list
Step or unit, but the most also include step or the unit do not listed, or the most also include right
In intrinsic other step of these processes, method, product or equipment or unit.
Referenced herein " embodiment " is it is meant that the special characteristic, structure or the characteristic that describe can in conjunction with the embodiments
To be included at least one embodiment of the present invention.There is this phrase not in each position in the description
Necessarily each mean identical embodiment, be not and the independent of other embodiments mutual exclusion or alternative embodiment.
Those skilled in the art explicitly and are implicitly understood by, and embodiment described herein can be real with other
Execute example to combine.
Terminal described by the embodiment of the present invention can include smart mobile phone (as Android phone, iOS mobile phone,
Windows Phone mobile phone etc.), panel computer, palm PC, notebook computer, mobile internet device
(MID, Mobile Internet Devices) or Wearable etc., above-mentioned terminal is only citing, rather than thoroughly
Lift, including but not limited to above-mentioned terminal.
Referring to Fig. 1, the first embodiment flow process for a kind of unlocked by fingerprint method of embodiment of the present invention offer is shown
It is intended to.Unlocked by fingerprint method described in the present embodiment, comprises the following steps:
101, fingerprint image is obtained.
In implementing, terminal can by fingerprint recognition module during user presses fingerprint recognition module,
Determine the acquisition range of fingerprint recognition module, and above-mentioned acquisition range is divided into multiple region, obtain this many
The fingerprint image corresponding to region that in individual region, signal to noise ratio is maximum.
Alternatively, fingerprint image can be the fingerprint image gathered during user presses fingerprint recognition module,
Or, can be the fingerprint image being saved in this locality.
Still optionally further, fingerprint image can be the fingerprint image of a finger of user or multiple finger
Fingerprint image.
Alternatively, during user presses fingerprint recognition module, it may be determined that user presses described fingerprint and knows
The effective range of other module；Control fingerprint recognition module and gather the pixel in this effective range as fingerprint image
Picture.Further, can detect user contact each collection point in described fingerprint recognition module by surging；
This each collection point is defined as effective range by surging more than the collection point of a certain threshold value.Can be by
Fingerprint recognition module combines with pressure transducer, then, when fingerprint recognition module is pressed, can
By pressure transducer detect each collection point in fingerprint recognition module by surging, determine by pressure
The image that degree is constituted more than the collection point of this certain threshold value is fingerprint image.
Alternatively, the mode of above-mentioned acquisition fingerprint image also can be as follows:
When user presses fingerprint recognition module, determine the pickup area of described fingerprint recognition module；
Described n2 normal bottom data value is obtained by n2 normal induction electrode in described pickup area,
Described n1 abnormal bottom data value is obtained by n1 of described pickup area abnormal induction electrode, described
N1 abnormal bottom data value and described n2 normal bottom data value are described fingerprint image, and described fingerprint is known
The induction electrode array of other module at least includes described n1 abnormal induction electrode and described n2 normal induction
Electrode, described n1, described n2 are positive integer；
The described n2 that described n2 normal induction electrode according to described fingerprint recognition module collects normal
Bottom data value, determines described n1 the bottom repair data value that described n1 abnormal induction electrode is corresponding；
Fingerprint image is generated according to described n2 normal bottom data value and described n1 bottom repair data value.
Alternatively, the described institute collected according to described n2 the normal induction electrode of described fingerprint recognition module
State n2 normal bottom data value, determine that described n1 the bottom that described n1 abnormal induction electrode is corresponding is repaiied
Complex data value, can be:
Described pickup area is divided into multiple isolated area, wherein, each independence in the plurality of isolated area
Region all comprise multiple by described normal induction electrode gather described normal bottom data value and at least one by
The described abnormal bottom data value that described abnormal induction electrode gathers；
Determine the average of all described normal bottom data value in described isolated area i, and described average is made
For the bottom repair data value that the described abnormal induction electrode in described isolated area i is corresponding, wherein said independence
Region i is any one in the plurality of isolated area.I.e. in isolated area i, by bottom repair data value
Bottom data value as each abnormal induction electrode.By which, in available arbitrary isolated area
The normal bottom data value of normal induction electrode goes the abnormal bottom data value repairing in this isolated area, thus,
Make fingerprint image quality more preferable, so, more characteristic point can be extracted in fingerprint image.
102, judge that whether described fingerprint image is image or the image of wet finger of dry finger.
In implementing, owing to the fingerprint lines in the fingerprint image of dry finger is intermittent, and wet finger
The fingerprint image larger area fingerprint lines obfuscation of fingerprint image, is almost hard to tell fingerprint lines, thus,
Can be by fingerprint image be analyzed, it is judged that whether fingerprint image comes from dry finger or wet finger.
Alternatively, can be dry to judge whether fingerprint image comes from by the patterned feature of the image that takes the fingerprint
Finger or wet finger.If the lines of fingerprint image is intermittent, then this fingerprint image belongs to dry finger, if
When occurring the fingerprint lines obfuscation of larger area in fingerprint image, then this fingerprint image belongs to wet finger.
Alternatively, can take the fingerprint the characteristic point of image；The number judging the characteristic point of described fingerprint image is
No it is less than the second predetermined threshold value, if, it is determined that described fingerprint image is image or the institute of described dry finger
State the image of wet finger.
Alternatively, can take the fingerprint the characteristic point of subregion of image；Feature based on described subregion
The number of the characteristic point of the number unit of account area of point；The number judging the characteristic point of described unit are is
No first predetermined threshold value that is less than, the most then confirm that described fingerprint image is image or the institute of described dry finger
State the image of wet finger.
If, it is determined that fingerprint image is image or the image of wet finger of dry finger.Wherein, part district
Territory can be the appointment region in fingerprint image, such as, and the default size with the center of fingerprint image as round dot
Region.Subregion can be the random areas in fingerprint image.Wherein, predetermined threshold value can be fixed threshold,
Or, predetermined threshold value can be relevant to the area of fingerprint image.
Alternatively, can be by the number of the characteristic point of the image that takes the fingerprint, at the number judgement of characteristic point
In preset range.Wherein, this preset range may be less than first threshold, and such as, first threshold can be to preset
Certain percentage ratio of the feature point number of fingerprint image, such as, 50%, or, first threshold is system default
Certain value.Further, this preset range can be to be between Second Threshold and the 3rd threshold value, wherein,
Second Threshold is less than the 3rd threshold value, and the 3rd threshold value can be certain percentage of the feature point number of preset fingerprint image
Ratio, such as, 50%, or, the 3rd threshold value is certain value of system default, and Second Threshold can be preset fingerprint
Certain percentage ratio of the feature point number of image, such as, 30%, or, Second Threshold is certain of system default
Individual value.Under normal conditions, the feature point number of dry finger or wet finger is less, and terminal can take the fingerprint
The number of characteristic point, such as, if the number of this feature point is less than first threshold, then coming of this fingerprint is described
From in dry finger or wet finger.
103, when the image that described fingerprint image is the image of dry finger or wet finger, to preset fingerprint mould
Plate carries out down-sampled.
In implementing, if fingerprint image comes from the image of the image of dry finger or wet finger, can press
According to a certain fixed value, preset fingerprint template is carried out down-sampled, or, according to a certain ratio to preset fingerprint mould
Plate carries out sampling.
Alternatively, it may be determined that the definition between definition and the described preset fingerprint template of described fingerprint image
Ratio；According to described definition than reducing described matching threshold.Wherein, definition is the public affairs of image processing field
Know general knowledge, do not repeat them here.Such as, the definition of fingerprint image is A, preset fingerprint template clear
Degree is the downsampling factor that B, C are current preset fingerprint template, the downsampling factor=C* (B-A) after reduction
/B。
Alternatively, it may be determined that the signal to noise ratio between signal to noise ratio and the described preset fingerprint template of described fingerprint image；
According to described signal to noise ratio than reducing described matching threshold.Such as, the signal to noise ratio of fingerprint image is A, preset fingerprint
The signal to noise ratio of template be B, C be the downsampling factor of current preset fingerprint template, the downsampling factor=C* after reduction
(B-A)/B。
Alternatively, it may be determined that the feature point number of fingerprint image, and the feature point number of preset fingerprint template,
Preset fingerprint template is carried out down-sampled by the ratio of the feature point number according to both, such as, and fingerprint image
Feature point number is A, the feature point number of preset fingerprint template be B, C be current preset fingerprint template
Downsampling factor, downsampling factor=C* (the B-A)/B after reduction.
Alternatively, it may be determined that the feature point number of fingerprint image, and the feature point number of preset fingerprint template,
Preset fingerprint template is carried out down-sampled by the difference of the feature point number according to both, and such as, difference is in
One preset range, then reduce by 10%, and difference then reduces by 20% more than the first preset range.
104, by described fingerprint image with described down-sampled after preset fingerprint template mate.
In implementing, preset fingerprint template can be prestored, during certain application is unlocked,
Fingerprint image can be mated with this preset fingerprint template, and in fingerprint image and preset fingerprint template matching
During success, just can show the refresh page waiting to unlock application.Take the fingerprint the first fingerprint lines of image,
When first fingerprint lines mates with the second fingerprint lines of preset fingerprint template, if matching value reaches certain threshold value,
Then it is believed that the second fingerprint lines of the first fingerprint lines and preset fingerprint template the match is successful, if matching value is not
Reach this certain threshold value, then it is believed that the first fingerprint lines mates with the second fingerprint lines of preset fingerprint template
Failure.Can be taken the fingerprint the characteristic point of image, such as Harris angle point, Scale invariant features transform
(Scale-invariant feature transform, SIFT) angle point, then, can comparison gather fingerprint image
Fisrt feature point and the second feature point of preset fingerprint template mate, if matching value reaches certain threshold value,
Then it is believed that the fisrt feature point of fingerprint image is successful with the second feature Point matching of preset fingerprint template, if
Join value and be not up to this certain threshold value, then it is believed that the of the fisrt feature point of fingerprint image and preset fingerprint template
Two Feature Points Matching failures.
105, described fingerprint image with described down-sampled after preset fingerprint template matching success time, to terminal
It is unlocked.
In implementing, fingerprint image with down-sampled after preset fingerprint template matching success time, can be to end
End is unlocked or is unlocked certain application in terminal.Such as, it is in terminal and puts out under screen state,
Being unlocked terminal, the display screen of terminal is lighted, and shows the desktop after unblock；Or, in terminal
It is under bright screen state, terminal is unlocked, the desktop after display unblock；Or, it is in terminal
Under released state, at least one application of terminal can be unlocked, i.e. start this at least one application or
Show the default page of a certain application in this at least one application；Or, it is in terminal and puts out under screen state,
At least one application of terminal can be unlocked, i.e. start this at least one application or show this at least one
The default page of a certain application in individual application.
It can be seen that in the embodiment of the present invention, obtain fingerprint image, be the image of dry finger at fingerprint image
Or during the image of wet finger, preset fingerprint template is carried out fall and adopts, by fingerprint image with down-sampled after pre-
If fingerprint template mates, fingerprint image with down-sampled after preset fingerprint template matching success time, right
Terminal is unlocked.Owing to preset fingerprint template is carried out down-sampled, therefore, it is dry finger at fingerprint image
Image or during the image of wet finger, be more beneficial for improving unlocked by fingerprint efficiency.
Referring to Fig. 2, the second embodiment flow process for a kind of unlocked by fingerprint method of embodiment of the present invention offer is shown
It is intended to.Unlocked by fingerprint method described in the present embodiment, comprises the following steps:
201, fingerprint image is obtained.
202, judge that whether described fingerprint image is image or the image of wet finger of dry finger.
203, when the image that described fingerprint image is the image of dry finger or wet finger, by described fingerprint image
As mating with preset fingerprint template, obtain matching value.
Alternatively, when the image that fingerprint image is not the image of dry finger and wet finger, then directly by fingerprint
Image mates with preset fingerprint template, if the match is successful, is then unlocked terminal, if it fails to match,
Then cannot unlock successfully.
204, judge whether described matching value is in preset range.
Wherein, matching value is in preset range, it will be appreciated that be the fingerprint image of terminal use for this fingerprint image,
Otherwise, if exceeding preset range, then can unlock successfully, if less than preset range, it is determined that this fingerprint
Image is not the fingerprint image of terminal use, in this case, it is impossible to continue the subsequent step of step 204.
205, if so, preset fingerprint template is carried out down-sampled.
206, by described fingerprint image with described down-sampled after preset fingerprint template mate.
207, described fingerprint image with described down-sampled after preset fingerprint template matching success time, to terminal
It is unlocked.
Wherein, step 201-step 202 and step 205-step 207 see the fingerprint solution described in Fig. 1
The step 101-step 106 of locking method.
It can be seen that in the embodiment of the present invention, obtain fingerprint image, be the image of dry finger at fingerprint image
Or during the image of wet finger, fingerprint image is mated with preset fingerprint template, obtains matching value.Sentence
Whether this matching value disconnected is in preset range, the most then carry out down-sampled to preset fingerprint template, by fingerprint
Image with down-sampled after preset fingerprint template mate, fingerprint image with down-sampled after preset fingerprint
During template matching success, terminal is unlocked.Owing to preset fingerprint template is carried out down-sampled, therefore,
When the image of the image that fingerprint image is dry finger or wet finger, it is more beneficial for improving unlocked by fingerprint efficiency.
Meanwhile, bringing the convenience of quick release to terminal use, but also may be to whether being that terminal use enters
Row identifies, improves the safety of terminal.
Refer to Fig. 3 a, for the first embodiment structural representation of a kind of terminal that the embodiment of the present invention provides.
Terminal described in the present embodiment, including: acquiring unit the 301, first judging unit 302, down-sampled list
Unit's the 303, first matching unit 304 conciliates lock unit 305, specific as follows:
Acquiring unit 301, is used for obtaining fingerprint image；
First judging unit 302, for judging that whether described fingerprint image that described acquiring unit 301 obtains is
The image of dry finger or the image of wet finger；
Down-sampled unit 303, is described fingerprint image for the first judged result at described judging unit 302
When being the image of the image of dry finger or wet finger, preset fingerprint template is carried out down-sampled；
First matching unit 304, for by described fingerprint image with described down-sampled after preset fingerprint template enter
Row coupling；
Solve lock unit 305, for the matching result of described first matching unit 304 be described fingerprint image with
Described down-sampled after preset fingerprint template matching success time, terminal is unlocked.
Alternatively, as shown in Figure 3 b, the described acquiring unit 301 of the terminal described in Fig. 3 a comprises the steps that
First determines module 3011, for during user presses fingerprint recognition module, determines described finger
The acquisition range of stricture of vagina identification module；
By described first, acquisition module 3012, for determining that the described acquisition range that module 3011 determines is divided into
Multiple regions, and obtain the fingerprint image corresponding to region that in the plurality of region, signal to noise ratio is maximum.
Alternatively, as shown in Figure 3 c, described first judging unit 302 of the terminal described in Fig. 3 a includes:
Extraction module 3021, for extracting the characteristic point of the subregion of described fingerprint image；
Computing module 3022, the characteristic point of the described subregion for extracting based on described extraction module 3021
The number of characteristic point of number unit of account area；
Judge module 3023, for judging the characteristic point of described unit are that described computing module 3022 calculates
Number whether less than the first predetermined threshold value, the most then confirm that described fingerprint image is the figure of described dry finger
Picture or the image of described wet finger.
Alternatively, as shown in Figure 3 d, the described down-sampled unit 303 of the terminal described in Fig. 3 a includes:
Second determines module 3031, for the target according to described feature point number Yu described preset fingerprint template
Difference or ratio between feature point number determine the down-sampled ratio system for described preset fingerprint template
Number；
First down-sampled module 3032, for according to described second determine that module 3031 determines described down-sampled
Described preset fingerprint template is carried out down-sampled by proportionality coefficient.
Alternatively, as shown in Figure 3 e, the described down-sampled unit 303 of the terminal described in Fig. 3 a includes:
3rd determines module 306, for determining the noise between described fingerprint image and described preset fingerprint template
Ratio ratio；
Second down-sampled module 307, for according to the described 3rd determine described signal to noise ratio that module 306 determines it
Carry out sampling to described preset fingerprint template than reducing.
Alternatively, as illustrated in figure 3f, the terminal described in Fig. 3 a may also include that
Second matching unit 308, for being mated with preset fingerprint template by described fingerprint image, obtains
Join value；
Whether second judging unit 309, for judging the described matching value of described second matching unit 308 coupling
It is in preset range, if 309 judged results of described second judging unit are yes, then by described down-sampled list
Preset fingerprint template is carried out down-sampled by unit 303.
As the optional embodiment of one, described acquiring unit 301 includes:
4th determines module (not marking in figure), for when user presses fingerprint recognition module, determines described
The pickup area of fingerprint recognition module；
First acquisition module (does not marks in figure), by n2 normal induction electrode in described pickup area
Obtain described n2 normal bottom data value, obtained by n1 of described pickup area abnormal induction electrode
Described n1 abnormal bottom data value, described n1 abnormal bottom data value and described n2 normal bottom number
Being described fingerprint image according to value, the induction electrode array of described fingerprint recognition module at least includes that described n1 is individual different
Often induction electrode and described n2 normal induction electrode, described n1, described n2 are positive integer；
Repair module (does not marks in figure), for the described n2 according to described fingerprint recognition module normal sense
Described n2 the normal bottom data value answering electrode to collect, determines that described n1 abnormal induction electrode is corresponding
Described n1 bottom repair data value；
Generation module (does not marks in figure), for individual according to described n2 normal bottom data value and described n1
Bottom repair data value generates fingerprint image.
Alternatively, described repair module includes:
Piecemeal module (does not marks in figure), for described pickup area being divided into multiple isolated area, wherein,
In the plurality of isolated area, each isolated area all comprises multiple described in described normal induction electrode gathers
Normal bottom data value and at least one described abnormal bottom data value gathered by described abnormal induction electrode；
5th determines module (not marking in figure), for determine in described isolated area i all described normally
The average of bottom data value, and using described average as the described abnormal induction electrode pair in described isolated area i
The bottom repair data value answered, wherein said isolated area i is any one in the plurality of isolated area.
It can be seen that the terminal described in the embodiment of the present invention can obtain fingerprint image, at fingerprint image it is
During the image of the image of dry finger or wet finger, preset fingerprint template is carried out fall and adopts, by fingerprint image with
Preset fingerprint template after down-sampled is mated, fingerprint image with down-sampled after preset fingerprint template
When being made into merit, terminal is unlocked.Owing to preset fingerprint template is carried out down-sampled, therefore, at fingerprint
When image is the image of the image of dry finger or wet finger, it is more beneficial for improving unlocked by fingerprint efficiency.
Refer to Fig. 4, for the second example structure schematic diagram of a kind of terminal that the embodiment of the present invention provides.This
Terminal described in embodiment, including: at least one input equipment 1000；At least one outut device 2000；
At least one processor 3000, such as CPU；With memorizer 4000, above-mentioned input equipment 1000, output
Equipment 2000, processor 3000, memorizer 4000 and communication interface (not marking in figure) pass through bus 5000
Connect.
Wherein, above-mentioned input equipment 1000 concretely contact panel, physical button or mouse, fingerprint are known
Other module etc..
Above-mentioned outut device 2000 concretely display screen.
Above-mentioned memorizer 4000 can be high-speed RAM memorizer, it is possible to for non-labile memorizer
(non-volatile memory), such as disk memory.Above-mentioned memorizer 4000 is used for storing batch processing
Code, above-mentioned input equipment 1000, outut device 2000 and processor 3000 are used for calling memorizer 4000
The program code of middle storage, performs to operate as follows:
Above-mentioned processor 3000, is used for:
Obtain fingerprint image；
Judge that whether described fingerprint image is image or the image of wet finger of dry finger；
When the image that described fingerprint image is the image of dry finger or wet finger, preset fingerprint template is entered
Row is down-sampled；
By described fingerprint image with described down-sampled after preset fingerprint template mate；
Described fingerprint image with described down-sampled after preset fingerprint template matching success time, terminal is carried out
Unlock.
Alternatively, above-mentioned processor 3000 obtains fingerprint image, including:
During user presses fingerprint recognition module, determine the acquisition range of described fingerprint recognition module；
Described acquisition range is divided into multiple region, and obtains the district that in the plurality of region, signal to noise ratio is maximum
Fingerprint image corresponding to territory.
Alternatively, above-mentioned processor 3000 judges whether described fingerprint image is the image of dry finger or wet hands
The image referred to, including:
Extract the characteristic point of the subregion of described fingerprint image；
The number of the characteristic point of the number unit of account area of characteristic point based on described subregion；
Judge that the number of characteristic point of described unit are whether less than the first predetermined threshold value, the most then confirms
Described fingerprint image is image or the image of described wet finger of described dry finger.
Alternatively, preset fingerprint template is carried out down-sampled by above-mentioned processor 3000, including:
According to the difference between the target characteristic point number of described feature point number and described preset fingerprint template or
Person's ratio determines the down-sampled proportionality coefficient for described preset fingerprint template；
According to described down-sampled proportionality coefficient, described preset fingerprint template is carried out down-sampled.
Alternatively, preset fingerprint template is carried out down-sampled by above-mentioned processor 3000, including:
Determine the ratio of signal to noise ratio between described fingerprint image and described preset fingerprint template；
Ratio according to described signal to noise ratio reduces and carries out sampling to described preset fingerprint template.
Alternatively, above-mentioned processor 3000 preset fingerprint template is carried out down-sampled before, described method is also wrapped
Include:
Described fingerprint image is mated with preset fingerprint template, obtains matching value；
Judge whether described matching value is in preset range, the most then perform described preset fingerprint template to be entered
The step that row is down-sampled.
Alternatively, above-mentioned processor 3000 obtains the first fingerprint image, including:
When user presses fingerprint recognition module, determine the pickup area of described fingerprint recognition module；
Described n2 normal bottom data value is obtained by n2 normal induction electrode in described pickup area,
Described n1 abnormal bottom data value is obtained by n1 of described pickup area abnormal induction electrode, described
N1 abnormal bottom data value and described n2 normal bottom data value are described fingerprint image, and described fingerprint is known
The induction electrode array of other module at least includes described n1 abnormal induction electrode and described n2 normal induction
Electrode, described n1, described n2 are positive integer；
The described n2 that described n2 normal induction electrode according to described fingerprint recognition module collects normal
Bottom data value, determines described n1 the bottom repair data value that described n1 abnormal induction electrode is corresponding；
The first fingerprint is generated according to described n2 normal bottom data value and described n1 bottom repair data value
Image.
Alternatively, above-mentioned processor 3000 is according to described n2 the normal induction electricity of described fingerprint recognition module
The described n2 that pole collects a normal bottom data value, determines the institute that described n1 abnormal induction electrode is corresponding
State n1 bottom repair data value, including:
Described pickup area is divided into multiple isolated area, wherein, each independence in the plurality of isolated area
Region all comprise multiple by described normal induction electrode gather described normal bottom data value and at least one by
The described abnormal bottom data value that described abnormal induction electrode gathers；
Determine the average of all described normal bottom data value in described isolated area i, and described average is made
For the bottom repair data value that the described abnormal induction electrode in described isolated area i is corresponding, wherein said independence
Region i is any one in the plurality of isolated area.
Fig. 5 is illustrated that the block diagram of the part-structure of the mobile phone relevant to the terminal of embodiment of the present invention offer.
With reference to Fig. 5, mobile phone includes: radio frequency (Radio Frequency, RF) circuit 510, memorizer 520, defeated
Enter unit 530, display unit 540, sensor 550, voicefrequency circuit 560, Wireless Fidelity (wireless
Fidelity, WiFi) module 570, the parts such as processor 580 and power supply 590.Those skilled in the art
It is appreciated that the handset structure shown in Fig. 5 is not intended that the restriction to mobile phone, can include than diagram more
Many or less parts, or combine some parts, or different parts are arranged.
Below in conjunction with Fig. 5 each component parts of mobile phone carried out concrete introduction:
RF circuit 510 can be used for receiving and sending messages or in communication process, the reception of signal and transmission, especially,
After the downlink information of base station is received, process to processor 580；It addition, data up for design are sent
To base station.Generally, RF circuit 510 include but not limited to antenna, at least one amplifier, transceiver,
Bonder, low-noise amplifier (Low Noise Amplifier, LNA), duplexer etc..Additionally, RF
Circuit 510 can also be communicated with network and other equipment by radio communication.Above-mentioned radio communication can use
Arbitrary communication standard or agreement, include but not limited to global system for mobile communications (Global System of
Mobile communication, GSM), general packet radio service (General Packet Radio
Service, GPRS), CDMA (Code Division Multiple Access, CDMA), broadband
CDMA (Wideband Code Division Multiple Access, WCDMA), Long Term Evolution (Long
Term Evolution, LTE), Email, Short Message Service (Short Messaging Service,
SMS) etc..
Memorizer 520 can be used for storing software program and module, and processor 580 is stored in by operation
The software program of reservoir 520 and module, thus perform the application of various functions and the data process of mobile phone.
Memorizer 520 can mainly include storing program area and storage data field, and wherein, storage program area can store behaviour
Make the application program (such as sound-playing function, image player function etc.) needed for system, at least one function
Deng；Storage data field can store data (the such as voice data, phone directory that the use according to mobile phone is created
Deng) etc..Additionally, memorizer 520 can include high-speed random access memory, it is also possible to include non-volatile
Property memorizer, for example, at least one disk memory, flush memory device or other volatile solid-state
Part.
Input block 530 can be used for receiving numeral or the character information of input, and produces the user with mobile phone
Arrange and function controls relevant key signals input.Specifically, input block 530 can include contact panel
531 and other input equipments 532.Contact panel 531, also referred to as touch screen, can collect user thereon
Or neighbouring touch operation (such as user uses any applicable object such as finger, stylus or adnexa at touch-control
Operation on panel 531 or near contact panel 531), and drive corresponding according to formula set in advance
Attachment means.Optionally, contact panel 531 can include touch detecting apparatus and two portions of touch controller
Point.Wherein, the touch orientation of touch detecting apparatus detection user, and detect the signal that touch operation brings,
Transmit a signal to touch controller；Touch controller receives touch information from touch detecting apparatus, and will
It is converted into contact coordinate, then gives processor 580, and can receive order that processor 580 sends in addition
Perform.Furthermore, it is possible to use the polytypes such as resistance-type, condenser type, infrared ray and surface acoustic wave to realize
Contact panel 531.Except contact panel 531, input block 530 can also include other input equipments
532.Specifically, other input equipments 532 can include but not limited to physical keyboard, function key (such as sound
Amount controls button, switch key etc.), trace ball, mouse, one or more in action bars etc..
Display unit 540 can be used for showing the information inputted by user or the information being supplied to user and mobile phone
Various menus.Display unit 540 can include display floater 541, optionally, can use liquid crystal display
(Liquid Crystal Display, LCD), Organic Light Emitting Diode (Organic Light-Emitting Diode,
Etc. OLED) form configures display floater 541.Further, contact panel 531 can cover display floater
541, when contact panel 531 detects thereon or after neighbouring touch operation, send to processor 580 with
Determine the type of touch event, with preprocessor 580 according to the type of touch event on display floater 541
Corresponding visual output is provided.Although in Figure 5, contact panel 531 and display floater 541 are as two
Individual independent parts realize input and the input function of mobile phone, but in some embodiments it is possible to will touch
Control panel 531 is integrated with display floater 541 and realizes input and the output function of mobile phone.
Mobile phone may also include at least one sensor 550, such as optical sensor, motion sensor and other
Sensor.Specifically, optical sensor can include ambient light sensor and proximity transducer, wherein, ambient light
Sensor can regulate the brightness of display floater 541 according to the light and shade of ambient light, and proximity transducer can be at hands
When machine moves in one's ear, close display floater 541 and/or backlight.As the one of motion sensor, accelerate
Flowmeter sensor can detect the size of (generally three axles) acceleration in all directions, can detect that weight time static
The size of power and direction, can be used for identify mobile phone attitude application (such as horizontal/vertical screen switching, dependent game,
Magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, percussion) etc.；Also may be used as mobile phone
Other sensors such as the gyroscope of configuration, barometer, drimeter, thermometer, infrared ray sensor, at this
Repeat no more.
Voicefrequency circuit 560, speaker 561, microphone 562 can provide the audio frequency between user and mobile phone to connect
Mouthful.The signal of telecommunication after the voice data conversion that voicefrequency circuit 560 can will receive, is transferred to speaker 561,
Acoustical signal output is converted to by speaker 561；On the other hand, the acoustical signal that microphone 562 will be collected
Be converted to the signal of telecommunication, voicefrequency circuit 560 after receiving, be converted to voice data, then by voice data output
After reason device 580 processes, through RF circuit 510 to be sent to such as another mobile phone, or voice data is exported
To memorizer 520 to process further.
WiFi belongs to short range wireless transmission technology, and mobile phone can help user to receive and dispatch by WiFi module 570
Email, browsing webpage and access streaming video etc., it has provided the user wireless broadband internet and has visited
Ask.Although Fig. 5 shows WiFi module 570, but it is understood that, itself and be not belonging to mobile phone must
Must constitute, can omit in not changing the scope of essence of invention as required completely.
Processor 580 is the control centre of mobile phone, utilizes various interface and the whole mobile phone of connection each
Part, is stored in the software program in memorizer 520 and/or module by running or performing, and calls and deposit
Storage data in memorizer 520, perform the various functions of mobile phone and process data, thus carrying out mobile phone
Integral monitoring.Optionally, processor 580 can include one or more processing unit；Preferably, processor
580 can integrated application processor and modem processor, wherein, application processor mainly process operation system
System, user interface and application program etc., modem processor mainly processes radio communication.May be appreciated
It is that above-mentioned modem processor can not also be integrated in processor 580.
Mobile phone also includes the power supply 590 (such as battery) powered to all parts, it is preferred that power supply can lead to
Cross power-supply management system logically contiguous with processor 580, thus realize management by power-supply management system and fill
The functions such as electricity, electric discharge and power managed.
Although not shown, mobile phone can also include photographic head, bluetooth module etc., does not repeats them here.
In previous embodiment, each step method flow process can structure based on this terminal realize.Wherein sensor
550 or contact panel 531 can use as fingerprint recognition module.
The embodiment of the present invention also provides for a kind of computer-readable storage medium, and wherein, this computer-readable storage medium can be deposited
Containing program, this program includes any unlocked by fingerprint method described in said method embodiment when performing
Part or all of step.
Although combine each embodiment invention has been described at this, but, required for protection in enforcement
In process of the present invention, those skilled in the art are by checking described accompanying drawing, disclosure and appended right
Claim, it will be appreciated that and realize other changes of described open embodiment.In the claims, " include "
(comprising) word is not excluded for other ingredients or step, and "a" or "an" is not excluded for multiple feelings
Condition.Single processor or other unit can realize some the functions enumerated in claim.Mutually different
Be recited in mutually different dependent some measure, the generation it is not intended that these measures can not combine
Good effect.
It will be understood by those skilled in the art that embodiments of the invention can be provided as method, device (equipment) or
Computer program.Therefore, the present invention can use complete hardware embodiment, complete software implementation or
Form in conjunction with the embodiment in terms of software and hardware.And, the present invention can use one or more wherein
Include computer usable program code computer-usable storage medium (include but not limited to disk memory,
CD-ROM, optical memory etc.) form of the upper computer program implemented.Computer program storage/
It is distributed in suitable medium, provides together with other hardware or as the part of hardware, it would however also be possible to employ
Other distribution forms, as by Internet or other wired or wireless telecommunication system.
The present invention is with reference to the method for the embodiment of the present invention, device (equipment) and the stream of computer program
Journey figure and/or block diagram describe.It should be understood that can be by computer program instructions flowchart and/or block diagram
In each flow process and/or the flow process in square frame and flow chart and/or block diagram and/or the combination of square frame.Can
There is provided these computer program instructions to general purpose computer, special-purpose computer, Embedded Processor or other can
The processor of programming data processing equipment is to produce a machine so that by computer or other numbers able to programme
The instruction performed according to the processor of processing equipment produce for realize one flow process of flow chart or multiple flow process and/
Or the device of the function specified in one square frame of block diagram or multiple square frame.
These computer program instructions may be alternatively stored in and can guide computer or other programmable data processing device
In the computer-readable memory worked in a specific way so that be stored in this computer-readable memory
Instruction produces the manufacture including command device, and this command device realizes at one flow process of flow chart or multiple stream
The function specified in journey and/or one square frame of block diagram or multiple square frame.
These computer program instructions also can be loaded in computer or other programmable data processing device, makes
Sequence of operations step must be performed to produce computer implemented place on computer or other programmable devices
Reason, thus the instruction performed on computer or other programmable devices provides for realizing flow chart one
The step of the function specified in flow process or multiple flow process and/or one square frame of block diagram or multiple square frame.
Although in conjunction with specific features and embodiment, invention has been described, it is clear that, do not taking off
In the case of the spirit and scope of the present invention, it can be carried out various amendment and combination.Correspondingly, this theory
The exemplary illustration of the present invention that bright book and accompanying drawing only claims are defined, and be considered as covering
In the scope of the invention arbitrarily and all modifications, change, combine or equivalent.Obviously, the technology of this area
Personnel can carry out various change and modification without departing from the spirit and scope of the present invention to the present invention.So,
If these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof,
Then the present invention is also intended to comprise these change and modification.
Claims (13)
1. a unlocked by fingerprint method, it is characterised in that including:
Obtain fingerprint image；
Judge that whether described fingerprint image is image or the image of wet finger of dry finger；
When the image that described fingerprint image is the image of dry finger or wet finger, preset fingerprint template is carried out down-sampled；
By described fingerprint image with described down-sampled after preset fingerprint template mate；
Described fingerprint image with described down-sampled after preset fingerprint template matching success time, terminal is unlocked.
Method the most according to claim 1, it is characterised in that described acquisition fingerprint image, including:
During user presses fingerprint recognition module, determine the acquisition range of described fingerprint recognition module；
Described acquisition range is divided into multiple region, and obtains the fingerprint image corresponding to region that in the plurality of region, signal to noise ratio is maximum.
Method the most according to claim 1, it is characterised in that described judge that whether described fingerprint image is image or the image of wet finger of dry finger, including:
Extract the characteristic point of the subregion of described fingerprint image；
The number of the characteristic point of the number unit of account area of characteristic point based on described subregion；
Judge that the number of characteristic point of described unit are whether less than the first predetermined threshold value, the most then confirms that described fingerprint image is image or the image of described wet finger of described dry finger.
4. according to the method described in any one of claims 1 to 3, it is characterised in that described preset fingerprint template is carried out down-sampled, including:
The down-sampled proportionality coefficient for described preset fingerprint template is determined according to the difference between the target characteristic point number of described feature point number and described preset fingerprint template or ratio；
According to described down-sampled proportionality coefficient, described preset fingerprint template is carried out down-sampled.
5. according to the method described in any one of claims 1 to 3, it is characterised in that described preset fingerprint template is carried out down-sampled, including:
Determine the ratio of signal to noise ratio between described fingerprint image and described preset fingerprint template；
Ratio according to described signal to noise ratio reduces and carries out sampling to described preset fingerprint template.
6. according to the method described in any one of claims 1 to 3, it is characterised in that described preset fingerprint template is carried out down-sampled before, described method also includes:
Described fingerprint image is mated with preset fingerprint template, obtains matching value；
Judge whether described matching value is in preset range, the most then perform described preset fingerprint template to carry out down-sampled step.
7. a terminal, it is characterised in that including:
Acquiring unit, is used for obtaining fingerprint image；
First judging unit, for judging that whether described fingerprint image that described acquiring unit obtains is image or the image of wet finger of dry finger；
Down-sampled unit, for when the first judged result of described judging unit is the image that described fingerprint image is the image of dry finger or wet finger, carrying out down-sampled to preset fingerprint template；
First matching unit, for by described fingerprint image with described down-sampled after preset fingerprint template mate；
Solve lock unit, for the matching result of described first matching unit be described fingerprint image with described down-sampled after preset fingerprint template matching success time, terminal is unlocked.
Terminal the most according to claim 7, it is characterised in that described acquiring unit includes:
First determines module, for during user presses fingerprint recognition module, determines the acquisition range of described fingerprint recognition module；
Acquisition module, for determining that by described first the described acquisition range that module determines is divided into multiple region, and obtains the fingerprint image corresponding to region that in the plurality of region, signal to noise ratio is maximum.
Terminal the most according to claim 7, it is characterised in that described first judging unit includes:
Extraction module, for extracting the characteristic point of the subregion of described fingerprint image；
Computing module, the number of the characteristic point of the number unit of account area of the characteristic point of described subregion for extracting based on described extraction module；
Judge module, for judging whether the number of the characteristic point of described unit are that described computing module calculates is less than the first predetermined threshold value, the most then confirms that described fingerprint image is image or the image of described wet finger of described dry finger.
10. according to the terminal described in any one of claim 7 to 9, it is characterised in that described down-sampled unit includes:
Second determines module, for determining the down-sampled proportionality coefficient for described preset fingerprint template according to the difference between the target characteristic point number of described feature point number and described preset fingerprint template or ratio；
According to described second, first down-sampled module, for determining that described preset fingerprint template is carried out down-sampled by the described down-sampled proportionality coefficient that module determines.
11. according to the terminal described in any one of claim 7 to 9, it is characterised in that described down-sampled unit includes:
3rd determines module, for determining the ratio of the signal to noise ratio between described fingerprint image and described preset fingerprint template；
Second down-sampled module, carries out sampling to described preset fingerprint template for determining that according to the described 3rd the ratio of described signal to noise ratio that module determines reduces.
12. according to the terminal described in any one of claim 7 to 9, it is characterised in that described terminal also includes:
Second matching unit, for being mated with preset fingerprint template by described fingerprint image, obtains matching value；
Second judging unit, for judging whether the described matching value of described second matching unit coupling is in preset range, if the judged result of described second judging unit is yes, is then carried out down-sampled by described down-sampled unit to preset fingerprint template.
13. 1 kinds of terminals, it is characterised in that including:
Processor, memorizer, communication interface, fingerprint recognition module and communication bus, described processor, described memorizer, described fingerprint recognition module and described communication interface are connected by described communication bus and complete mutual communicating；
Described memorizer storage has executable program code, described fingerprint recognition module to be used for obtaining fingerprint image, and described communication interface is used for radio communication；
Described processor, for calling the described executable program code in described memorizer, performs the method as described in claim 1-6 any one.
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| CN201610368674.6A CN106022058B (en) | 2016-05-27 | 2016-05-27 | A kind of unlocked by fingerprint method and terminal |
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| CN107423170A (en) * | 2017-03-17 | 2017-12-01 | 广东欧珀移动通信有限公司 | A kind of unlocked by fingerprint time test method and mobile terminal |
| CN107665340A (en) * | 2017-09-22 | 2018-02-06 | 北京小米移动软件有限公司 | Fingerprint identification method, device, electronic equipment |
| CN109376701A (en) * | 2018-11-30 | 2019-02-22 | Oppo广东移动通信有限公司 | Fingerprint identification method and Related product |
| CN109376703A (en) * | 2018-11-30 | 2019-02-22 | Oppo广东移动通信有限公司 | Fingerprint identification method and Related product |
| CN109376702A (en) * | 2018-11-30 | 2019-02-22 | Oppo广东移动通信有限公司 | Fingerprint identification method and Related product |
| CN111382406A (en) * | 2018-12-29 | 2020-07-07 | 北京小米移动软件有限公司 | Fingerprint unlocking method and device |
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| CN109902569B (en) * | 2019-01-23 | 2021-09-17 | 上海思立微电子科技有限公司 | Fingerprint image conversion method and device and fingerprint identification method |
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| CN204731798U (en) * | 2015-06-30 | 2015-10-28 | 深圳指芯智能科技有限公司 | A kind of intelligent frequency-conversion 3D fingerprint sensor |
| CN105095896A (en) * | 2015-07-29 | 2015-11-25 | 江苏邦融微电子有限公司 | Image distortion correction method based on look-up table |
| CN205063534U (en) * | 2015-09-30 | 2016-03-02 | 深圳市章陈融通科技有限公司 | Door handle disinfects |
| CN105389565A (en) * | 2015-11-13 | 2016-03-09 | 广东欧珀移动通信有限公司 | Fingerprint registration method, fingerprint registration device and terminal equipment |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107423170A (en) * | 2017-03-17 | 2017-12-01 | 广东欧珀移动通信有限公司 | A kind of unlocked by fingerprint time test method and mobile terminal |
| CN107423170B (en) * | 2017-03-17 | 2020-09-22 | Oppo广东移动通信有限公司 | Fingerprint unlocking time testing method and mobile terminal |
| CN107665340A (en) * | 2017-09-22 | 2018-02-06 | 北京小米移动软件有限公司 | Fingerprint identification method, device, electronic equipment |
| CN107665340B (en) * | 2017-09-22 | 2020-06-02 | 北京小米移动软件有限公司 | Fingerprint identification method and device and electronic equipment |
| CN109376701A (en) * | 2018-11-30 | 2019-02-22 | Oppo广东移动通信有限公司 | Fingerprint identification method and Related product |
| CN109376703A (en) * | 2018-11-30 | 2019-02-22 | Oppo广东移动通信有限公司 | Fingerprint identification method and Related product |
| CN109376702A (en) * | 2018-11-30 | 2019-02-22 | Oppo广东移动通信有限公司 | Fingerprint identification method and Related product |
| CN109376701B (en) * | 2018-11-30 | 2021-05-04 | Oppo广东移动通信有限公司 | Fingerprint identification method and related product |
| CN109376703B (en) * | 2018-11-30 | 2021-05-04 | Oppo广东移动通信有限公司 | Fingerprint identification method and related product |
| CN109376702B (en) * | 2018-11-30 | 2021-05-04 | Oppo广东移动通信有限公司 | Fingerprint identification method and related product |
| CN111382406A (en) * | 2018-12-29 | 2020-07-07 | 北京小米移动软件有限公司 | Fingerprint unlocking method and device |
| CN111382406B (en) * | 2018-12-29 | 2023-09-22 | 北京小米移动软件有限公司 | Fingerprint unlocking method and device |
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Address after: Changan town in Guangdong province Dongguan 523860 usha Beach Road No. 18 Patentee after: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS Corp.,Ltd. Address before: Changan town in Guangdong province Dongguan 523860 usha Beach Road No. 18 Patentee before: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS Corp.,Ltd. |
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