CN105975835A - Fingerprint unlocking control method and terminal device - Google Patents
Fingerprint unlocking control method and terminal device Download PDFInfo
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- CN105975835A CN105975835A CN201610369461.5A CN201610369461A CN105975835A CN 105975835 A CN105975835 A CN 105975835A CN 201610369461 A CN201610369461 A CN 201610369461A CN 105975835 A CN105975835 A CN 105975835A
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- fingerprint image
- fingerprint
- pixel
- original fingerprint
- pixel value
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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
-
- 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
Abstract
The embodiment of the invention discloses a fingerprint unlocking control method and a terminal device. The fingerprint unlocking control method includes the steps that an original fingerprint image is obtained, and a registration fingerprint corresponding to the original fingerprint image is determined; efficient characteristic points of the original fingerprint image are determined, whether the efficient characteristic points meet the preset condition or not is determined, and the preset condition a condition used for determining whether the original fingerprint image can be correctly identified or not; if the efficient characteristic points meet the preset condition, and it is determined that the original fingerprint image can be identified, the original fingerprint image is compared with the registration fingerprint; if the efficient characteristic points do not meet the preset condition, and it is determined that the original fingerprint image can not be identified, the original fingerprint image is subjected to characteristic amplification to obtain fingerprint simulation data, and then the fingerprint simulation data is compared with the registration fingerprint. The characteristic amplification processing process and the like can be reduced, the fingerprint unlocking time is saved accordingly, and fingerprint unlocking efficiency is improved.
Description
Technical field
The present invention relates to field of computer technology, particularly to a kind of unlocked by fingerprint control method and terminal
Equipment.
Background technology
Fingerprint image is the data of the fingerprint using pictorial form as carrier.Fingerprint is that human finger's end refers to
The lines formed by concavo-convex skin on abdomen.Fingerprint can make hands increase frictional force when contact subject, from
And be easier to have an effect and promptly object.It is self-assembling formation in human evolution's process type.Fingerprint is the mankind
Finger tips refers to the lines formed on abdomen by concavo-convex skin, owing to the fingerprint of people is that nature-nurture is total to
Same-action, it is the most closely related with health, thus fingerprint everybody all have, the most different, by
Minimum in fingerprint repetitive rate, about 1/15000000000th, therefore it is referred to as " human body identity card ".It is based on
This feature of fingerprint, fingerprint is widely used as the information of authentication.
Such as, fingerprint identification technology has become as the standard configuration of main flow mobile terminal manufacturer flagship type.Fingerprint
Identify and can be not only used for the unblock of mobile terminal and the function such as wake up up, be also the important ring of mobile payment.
Fingerprint pays while meeting user's property easy to use, to safety it is also proposed that higher requirement.
The process of fingerprint recognition is divided into: extracts feature, preserve data and images match.
The fingerprint image that somatic fingerprint is original is read by fingerprint reading systems;Owing to fingerprint collecting obtains
Original fingerprint image may the most unintelligible characteristic point inconspicuous, therefore can be to collection before fingerprint matching
To original fingerprint image carry out feature processing and amplifying and make characteristic point become apparent from, thus improve fingerprint recognition
Success rate;Then the fingerprint image after using feature to amplify carries out spy with the registered fingerprint template pre-saved
Levy Point matching, be unlocked after the match is successful.Equipment is successfully required to unlocking from reading fingerprint image
Time be referred to as unlocked time.
The speed of unlocked time directly influences user and uses the efficiency of equipment, especially for some more
The sensitive waiting time is the most such.How shortening unlocked time becomes technology from improving unlocked by fingerprint efficiency
The important directions of personnel's research.
Summary of the invention
Embodiments provide a kind of unlocked by fingerprint control method and terminal unit, refer to for raising
Stricture of vagina unlocks efficiency.
On the one hand a kind of unlocked by fingerprint control method is embodiments provided, including:
Obtain original fingerprint image, and determine and the registered fingerprint corresponding to described original fingerprint image;
Determine the validity feature point of described original fingerprint image, determine whether described validity feature point meets pre-
Putting condition, described prerequisite is for determining whether described original fingerprint image can be correctly validated
Condition;
If meeting described prerequisite to determine that described original fingerprint image can be identified, then use described former
Beginning fingerprint image is compared with described registered fingerprint;
If being unsatisfactory for described prerequisite to determine that described original fingerprint image can not be identified, the most right
Described original fingerprint image carries out feature processing and amplifying and obtains fingerprint analog data, then uses described fingerprint
Analog data is compared with described registered fingerprint.
In an optional implementation, described acquisition original fingerprint image includes:
Original fingerprint image is obtained by the fingerprint collecting equipment of terminal unit;Described method also includes:
The finger humidity inputting described original fingerprint image is obtained by humidity sensor;
If described finger humidity is more than first threshold or less than Second Threshold, determine described validity feature point
It is unsatisfactory for described prerequisite and determines that described original fingerprint image can not be identified, then performing described head
First described original fingerprint image is carried out feature processing and amplifying and obtains fingerprint analog data, then use described
Fingerprint analog data is compared with described registered fingerprint.
In an optional implementation, described described original fingerprint image is carried out feature processing and amplifying
Obtain fingerprint analog data, including:
Obtain the pixel value of each pixel in described original fingerprint image;
According to the pixel value of target pixel points, and the pixel of the pixel adjacent with described target pixel points
Value, calculates the grey decision-making of described target pixel points;Described target pixel points belongs to described original fingerprint image
In pixel;
In being calculated described original fingerprint image after the grey decision-making of each pixel, determine described original finger
The progression of the grey decision-making of print image;
Improve the progression of the grey decision-making of described original fingerprint image, be converted to described original fingerprint image refer to
Stricture of vagina analog data.
In an optional implementation, the picture of each pixel in described acquisition described original fingerprint image
Element value includes:
Fingerprint collecting equipment gathers the electric capacity of each pixel in the fingerprint image that described original fingerprint image obtains
Value, or the weighted value of capacitance.
In an optional implementation, the described pixel value according to target pixel points, and with described
The pixel value of the pixel that target pixel points is adjacent, the grey decision-making calculating described target pixel points includes:
Determine the central point pixel value in the default size contiguous range of described target pixel points, maximum pixel
Value and minimum pixel value;
The grey decision-making calculating described target pixel points is: A* (central point pixel value-minimum pixel value)/(
Big pixel value-minimum pixel value), wherein 200≤A≤255.
In an optional implementation, the pixel that described and described target pixel points is adjacent includes:
N*n pixel of point centered by described target pixel points, described n is the odd number more than 1.
The embodiment of the present invention two aspect provides a kind of unlocked by fingerprint and controls equipment, including:
Fingerprint acquiring unit, is used for obtaining original fingerprint image;
Fingerprint determines unit, for determining and the registered fingerprint corresponding to described original fingerprint image;
Identification determines unit, for determining the validity feature point of described original fingerprint image, determine described in have
Whether effect characteristic point meets prerequisite, and described prerequisite is for determining that described original fingerprint image is
The no condition that can be correctly validated;
Fingerprint processing unit, obtains fingerprint mould for described original fingerprint image is carried out feature processing and amplifying
Intend data;
For described identification, fingerprint comparison unit, if determining that unit determines that meeting described prerequisite determines institute
State original fingerprint image can be identified, then use described original fingerprint image to carry out with described registered fingerprint
Comparison;If described identification determines that unit determines that being unsatisfactory for described prerequisite determines described original fingerprint image
Can not be identified, then use described fingerprint analog data to compare with described registered fingerprint.
In an optional implementation, described fingerprint acquiring unit, for by the finger of terminal unit
Stricture of vagina collecting device obtains original fingerprint image;
Described equipment also includes:
Humidity sensor, for obtaining the finger humidity inputting described original fingerprint image;
Described fingerprint comparison unit, if the described finger humidity obtained for described humidity sensor is more than the
One threshold value or then determine that described validity feature point is unsatisfactory for described prerequisite and determines less than Second Threshold
Described original fingerprint image can not be identified, then perform described use described fingerprint analog data with described
Registered fingerprint is compared.
In an optional implementation, described fingerprint processing unit, including:
Pixel value acquiring unit, for obtaining the pixel value of each pixel in described original fingerprint image;
Grey decision-making computing unit, for according to the pixel value of target pixel points, and with described object pixel
The pixel value of the pixel that point is adjacent, calculates the grey decision-making of described target pixel points;Described target pixel points
Belong to the pixel in described original fingerprint image;
Progression determines unit, for the grey decision-making of each pixel in being calculated described original fingerprint image
After, determine the progression of the grey decision-making of described original fingerprint image;
Image conversion unit, for improving the progression of the grey decision-making of described original fingerprint image, by described former
Beginning fingerprint image is converted to fingerprint analog data.
In an optional implementation, described pixel value acquiring unit, adopt specifically for obtaining fingerprint
Collection equipment gathers the capacitance of each pixel in the fingerprint image that described original fingerprint image obtains, or capacitance
Weighted value.
In an optional implementation, described grey decision-making computing unit, specifically for determining described mesh
Central point pixel value, max pixel value and minimum pixel in the default size contiguous range of mark pixel
Value;
The grey decision-making calculating described target pixel points is: A* (central point pixel value-minimum pixel value)/(
Big pixel value-minimum pixel value), wherein 200≤A≤255.
In an optional implementation, the pixel that described and described target pixel points is adjacent includes:
N*n pixel of point centered by described target pixel points, described n is the odd number more than 1.
The three aspect embodiment of the present invention additionally provide a kind of terminal unit, including: processor and memorizer,
Wherein said processor embodiments provides the method described in any one for execution.
As can be seen from the above technical solutions, the embodiment of the present invention has the advantage that and passes through original fingerprint
The validity feature point of image primarily determines that can original fingerprint image identified, thus selects the suitableeest
The unlocked by fingerprint mode closed;Wherein, in the case of the characteristic point of original fingerprint image is less or unconspicuous
First feature amplify after the mode of comparison is preferably used ensure to unlock success rate;Spy at original fingerprint image
Levy in the case of a little substantially can being identified, it is possible to reduce the processing procedures such as feature amplification, thus save and refer to
The time that stricture of vagina unlocks, improve unlocked by fingerprint efficiency.
Accompanying drawing explanation
For the technical scheme being illustrated more clearly that in the embodiment of the present invention, in embodiment being described below
The required accompanying drawing used is briefly introduced, it should be apparent that, the accompanying drawing in describing below is only this
Some bright embodiments, from the point of view of those of ordinary skill in the art, are not paying creative work
On the premise of, it is also possible to other accompanying drawing is obtained according to these accompanying drawings.
Fig. 1 is embodiment of the present invention method flow schematic diagram;
Fig. 2 is embodiment of the present invention fingerprint chip structure schematic diagram;
Fig. 3 is 32 grades of GTG schematic diagrams of the embodiment of the present invention;
Fig. 4 is 256 grades of GTG schematic diagrams of the embodiment of the present invention;
Fig. 5 is embodiment of the present invention fingerprint image schematic diagram;
Fig. 6 is embodiment of the present invention method flow schematic diagram;
Fig. 7 is embodiment of the present invention fingerprint image schematic diagram;
Fig. 8 A is that embodiment of the present invention unlocked by fingerprint controls device structure schematic diagram;
Fig. 8 B is that embodiment of the present invention unlocked by fingerprint controls device structure schematic diagram;
Fig. 9 is that embodiment of the present invention unlocked by fingerprint controls device structure schematic diagram;
Figure 10 is embodiment of the present invention terminal unit structural representation;
Figure 11 is embodiment of the present invention terminal unit structural representation.
Detailed description of the invention
In order to make the object, technical solutions and advantages of the present invention clearer, below in conjunction with accompanying drawing to this
Invention is described in further detail, it is clear that described embodiment is only that some of the present invention is implemented
Example rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art exist
Do not make all other embodiments obtained under creative work premise, broadly fall into present invention protection
Scope.
Embodiments provide a kind of unlocked by fingerprint control method, as it is shown in figure 1, include:
101: obtain original fingerprint image, and determine and the registered fingerprint corresponding to above-mentioned original fingerprint image;
In the present embodiment, original fingerprint image is the fingerprint image for subsequent fingerprint analog data
Picture, can be that other equipment sends the fingerprint image of coming, it is also possible to be the fingerprint of local device collection acquisition
Image;Registered fingerprint is stored in comparing used fingerprint for user inputs fingerprint of this locality,
It is typically to be preset by user, corresponding to the certification of operating right.
102: determine the validity feature point of above-mentioned original fingerprint image, determine that above-mentioned validity feature point is the fullest
Foot prerequisite, above-mentioned prerequisite is for determining whether above-mentioned original fingerprint image can correctly be known
Other condition;
Validity feature point is the obvious characteristic point of those features in fingerprint image, can be with single characteristic point
Basis for estimation, the most individually judges that each characteristic point is the most obvious, it is then determined that the feature of whole fingerprint image
Point is the most obvious;Can also be that the direct validity feature point with overall original fingerprint image is carried out for foundation
Judging, such as: when finger humidity is the highest, original fingerprint image can be rendered as the overall spy that peak valley difference is little
Point;When finger humidity is the lowest, it is discontinuous that original fingerprint image can present fingerprint, and the peak valley of characteristic point disconnects
More feature.Preset condition then can respective settings accordingly.Owing to whether judging original fingerprint image
The mode that can be identified, has different algorithms available based on different characteristic point judgment modes, this
It cannot be carried out exhaustive by inventive embodiments, and therefore this is not made uniqueness restriction by the embodiment of the present invention.
103: if meeting above-mentioned prerequisite to determine that above-mentioned original fingerprint image can be identified, then use
State original fingerprint image to compare with above-mentioned registered fingerprint;
104: if being unsatisfactory for above-mentioned prerequisite to determine that above-mentioned original fingerprint image can not be identified, then first
First above-mentioned original fingerprint image is carried out feature processing and amplifying and obtain fingerprint analog data, then use above-mentioned
Fingerprint analog data is compared with above-mentioned registered fingerprint.
In the present embodiment, original fingerprint image is primarily determined that by the validity feature point of original fingerprint image
Can be identified, thus select the unlocked by fingerprint mode being more suitable for;Wherein, at original fingerprint figure
First feature amplify after the mode of comparison is preferably used in the case of the characteristic point of picture is less or unconspicuous ensure
Unlock success rate;In the case of the characteristic point of original fingerprint image substantially can be identified, it is possible to reduce
The processing procedures such as feature amplification, thus save the time of unlocked by fingerprint, improve unlocked by fingerprint efficiency.
The embodiment of the present invention gives one can be as the determination original fingerprint image of preferred implementation scheme
Can be identified and the implementation of alignment schemes selection, specific as follows: above-mentioned acquisition original fingerprint figure
As including:
Original fingerprint image is obtained by the fingerprint collecting equipment of terminal unit;Said method also includes:
The finger humidity inputting above-mentioned original fingerprint image is obtained by humidity sensor;
If above-mentioned finger humidity is more than first threshold or less than Second Threshold, determine above-mentioned validity feature point
It is unsatisfactory for above-mentioned prerequisite and determines that above-mentioned original fingerprint image can not be identified, then performing above-mentioned head
First above-mentioned original fingerprint image is carried out feature processing and amplifying and obtain fingerprint analog data, then use above-mentioned
Fingerprint analog data is compared with above-mentioned registered fingerprint.
In the present embodiment, terminal unit has fingerprint collecting equipment and humidity sensor, it is possible to understand that
Be first threshold be to may result in the critical of original fingerprint image None-identified for determining that finger is overly wet
Value, Second Threshold is then to may result in facing of original fingerprint image None-identified for determining that finger is the most dry
Dividing value;Therefore, first threshold can be much larger than Second Threshold;If finger humidity is between first threshold and second
Between threshold value, can arbitrarily select two kinds of alignments, additionally can also be recorded by previous embodiment
Other modes determine whether characteristic point meets other prerequisites to predict that original fingerprint image whether can
Identified.The citing of the present embodiment comprehensively can use with the prerequisite in previous embodiment, and
And prerequisite is not unique in previous embodiment, the citing of the present embodiment should not be construed as the present invention real
The uniqueness executing example limits.
Feature in the embodiment of the present invention amplifies to comprise makes fingerprint image become relatively sharp, and feature is more
The all image procossing closer to real fingerprint image are obtained for substantially and carrying out fingerprint image repairing
Algorithm, this gives one of them and preferably illustrates, specific as follows: above-mentioned to above-mentioned original finger
Print image carries out feature processing and amplifying and obtains fingerprint analog data, including:
Obtain the pixel value of each pixel in above-mentioned original fingerprint image;
According to the pixel value of target pixel points, and the pixel of the pixel adjacent with above-mentioned target pixel points
Value, calculates the grey decision-making of above-mentioned target pixel points;Above-mentioned target pixel points belongs to above-mentioned original fingerprint image
In pixel;
In being calculated above-mentioned original fingerprint image after the grey decision-making of each pixel, determine above-mentioned original finger
The progression of the grey decision-making of print image;
Improve the progression of the grey decision-making of above-mentioned original fingerprint image, be converted to above-mentioned original fingerprint image refer to
Stricture of vagina analog data.
Pixel point value, is for measuring the parameter of each pixel in fingerprint image in fingerprint image, with electric capacity
As a example by the fingerprint collecting equipment of formula, this pixel value can be capacitance, it is also possible to be the capacitance after weighting.
This embodiment of the present invention can not made by different fingerprint image acquisition technology to there being different pixel values
Uniqueness limits.
Grey decision-making be pixel the darkest black to the brightest white between brightness hierarchical relationship;Grasp at form
Making in system, usually 256 rank, figure place is 8, a value in every single order corresponding 0~255, claims
For grey decision-making.
Gray scale is the black of the different saturation on the basis of black, there are differences between gray scale, by 100%
Saturation between black and 0% black (white) is divided into multiple level, then each saturation can be right
One of them level should be arrived, be grey decision-making;The quantity of one all different grey decision-making related to of image is i.e.
Progression for grey decision-making.Using binary system in field of computer technology at present, grey decision-making figure place represents,
Assuming that figure place is m, then m power the GTG of 2 can be had to be expressed.Such as: 8 can represent
256 grey decision-making.Understand based on described above: the progression of grey decision-making can set, however it is not limited to one
Individual fixed value.
The embodiment of the present invention, by the process of the pixel value to original fingerprint image, it is thus achieved that each pixel value
Grey decision-making, and determined therefrom that the progression of the grey decision-making of this original fingerprint image, original by improving this
The progression of the grey decision-making of fingerprint image obtains fingerprint analog data, can make fingerprint analog data relative to
Original fingerprint image is closer to real fingerprint image, and makes the feature of fingerprint analog data the most prominent,
Thus be conducive to improving the discrimination of fingerprint image, and be conducive to unblock rate and authentication efficiency further
Improve.
Alternatively, in above-mentioned acquisition above-mentioned original fingerprint image, the pixel value of each pixel includes:
Fingerprint collecting equipment gathers the electric capacity of each pixel in the fingerprint image that above-mentioned original fingerprint image obtains
Value, or the weighted value of capacitance.
It is understood that different fingerprint image acquisition technology can to there being different pixel values, because of
This, with the pixel value as a example by capacitance, or the weighted value of capacitance, should not be construed as the embodiment of the present invention
Uniqueness limit.
Alternatively, the present embodiment additionally provides the circular of grey decision-making, specific as follows: above-mentioned depend on
According to the pixel value of target pixel points, and the pixel value of the pixel adjacent with above-mentioned target pixel points, meter
The grey decision-making counting stating target pixel points in includes:
Determine the central point pixel value in the default size contiguous range of above-mentioned target pixel points, maximum pixel
Value and minimum pixel value;
The grey decision-making calculating above-mentioned target pixel points is: A* (central point pixel value-minimum pixel value)/(
Big pixel value-minimum pixel value), wherein 200≤A≤255.
In above-mentioned target pixel points and the pixel adjacent with above-mentioned target pixel points, it is positioned at central point
The pixel value of pixel be central point pixel value, the pixel value that the maximum pixel of pixel value is corresponding is
Big pixel value, the pixel value that the pixel of pixel value minimum is corresponding is minimum pixel value.Real by the present invention
The calculation executing example can take into full account the difference between pixel and surrounding pixel point, so that it is determined that one
Individual relatively reasonable grey decision-making.
Alternatively, the pixel that above-mentioned and above-mentioned target pixel points is adjacent includes:
N*n pixel of point centered by above-mentioned target pixel points, above-mentioned n is the odd number more than 1.
In the present embodiment, n value is the odd number more than 1, and target pixel points so can be made to be positioned at participation
The center that grey decision-making calculates, is conducive to accurately determining the grey decision-making of target pixel points;Wherein n is usual
Value can be 3 or 5, it is also possible to be other values;Less n can improve computational efficiency, bigger
N can make fingerprint image more equalize, both balances, can use 5 or 7 as the relatively figure of merit.
In embodiments of the present invention, the principle that fingerprint image obtains is that fingerprint chip internal is by m*n array
As pixel (pixel) composition, as in figure 2 it is shown, shown in dotted line frame, region is fingerprint chip, in Fig. 2
Array has 56*192, and one has 10752 pixel points, during fingerprint collecting, can collect 10752
Individual pixel value, corresponding each pixel value can be presented by the form of image;
Finger down fingerprint module surface when, each pixel point is with forming electric capacity between finger surface
Value, capacitance can be different according to the peak valley difference of fingerprint, because referring to that summit is near with pixel point distance, and
Refer to that paddy can be a little further.Fingerprint module can be concavo-convex according to the capacitance size formation one of 10752 pixels
Uneven three-dimensional surface, the fingerprint image simulated by this three-dimensional surface.
Because the finger peak of finger and refer to paddy direct range difference the least, the peak-to-peak value of pixel value relative to
The meansigma methods of pixel is the least, the change of typically less than 5%, so the picture quality obtained is excessively poor, and one
Sheet is pitch-black, and black and white cannot be distinguished by, after the matching performance of fingerprint well imagine.
User unlocked by fingerprint when, press overweight or kick the beam all can cause not fogging clear, unlock
Mortality promotes, and also user is pressing strip fingerprint module when, easily occurs weighing
Light situation, causes image conformity poor, a black edge margin, is not easy to the identification of fingerprint characteristic.
In order to solve above technical problem, the embodiment of the present invention is by original fingerprint image (the most original finger
Print image) carry out GTG quantification treatment, before introducing GTG quantification treatment, first introduce GTG pair
The impact of fingerprint image.
GTG refer to the darkest black to the brightest white between brightness hierarchical relationship.Comparison of light and shade and black and white face
Performance in terms of colour transition, image is the most clear, excessively gets over nature the best.Illustrate.On GTG
Face, uses the performance of 32 grades of GTGs and 256 grades of GTGs to contrast.As it is shown on figure 3, at 32 grades of ashes
Rank, almost all can distinguish the most at the same level between the difference of shade, entire image uniformity is more
Good.
As shown in Figure 4, being 256 grades of GTGs, in 256 grades of GTGs, color restoration capability has had brighter
Aobvious raising, the upper left corner only has minority GTG and can not clearly differentiate, and the excessive scope of color-grading is relatively wide,
Contrast is more preferably.It addition, GTG is difficult to differentiate a portion reason is the human eye identification energy to color
Power, will not suffer from this for equipment.
The fingerprint chip of fingerprint collecting equipment is generally divided into two kinds, and one is that polarization is square, such as 6*6 face
Long-pending, one is inclined rectangle, such as 4*10 area, in whole fingerprint module design, and foursquare core
It is often square and circular that sheet is packaged into module, and rectangle fingerprint chip will be packaged into rectangle.
Be illustrated in fig. 5 shown below is exactly that one side of occurring when strip fingerprint chip presses of user is gently while weight (left side
Gently, right side weight), the fingerprint image caused is uneven, at circular and square fingerprint module, also there will be
Same similar uneven phenomenon.Can cause unlocking mortality to improve.
Embodiment of the present invention method flow is illustrated, as shown in Figure 6, specific as follows, including:
601: each pixel point takes 3*3 pixel point around and forms neighborhood;
In the present embodiment, 3*3 is only other neighborhoods such as citing, 5*5 or 7*7.
602: the pixel point in this neighborhood is entered line number Neo-Confucianism statistics;
603: if the pixel data of these 9 points, count maximum (max) value, minimum (min)
Value and centerpoint value;
604: calculate grey decision-making=255* (centerpoint value-min)/(max-min) of this centre of neighbourhood point;
It is understood that grey decision-making should be integer herein, if calculated value has decimal so to need
It rounded and to be converted to grey decision-making.
605: test out the grey decision-making of all pixel point;
606: grey decision-making is carried out progression quantization, from harmonic series to premium volume, such as it is originally 6
Being quantified as 8 GTGs, the definition of image more preferably, is more nearly actual fingerprint, improves fingerprint and correctly solves
Lock rate.
In the present embodiment, specifically from harmonic series to the mode of premium volume can be improve for representing
The figure place of the pixel value of pixel, then uses the pixel value after improving figure place to participate in calculating grey decision-making;Separately
In the formula of outer above-mentioned calculating grey decision-making, the value of 255 can determine according to the maximum series of the grey decision-making set.
As it is shown in fig. 7, be the fingerprint image processed through embodiment of the present invention scheme, whole fingerprint image
More uniform, no longer show as the situation that weight differs, fingerprint characteristic becomes apparent from.
The embodiment of the present invention additionally provides a kind of unlocked by fingerprint and controls equipment, as shown in Figure 8 A, and including:
Fingerprint acquiring unit 801, is used for obtaining original fingerprint image;
Fingerprint determines unit 802, for determining and the registered fingerprint corresponding to above-mentioned original fingerprint image;
Identification determines unit 803, for determining the validity feature point of above-mentioned original fingerprint image, determines above-mentioned
Whether validity feature point meets prerequisite, and above-mentioned prerequisite is for determining above-mentioned original fingerprint image
The condition whether can being correctly validated;
Fingerprint processing unit 804, obtains fingerprint for above-mentioned original fingerprint image is carried out feature processing and amplifying
Analog data;
For above-mentioned identification, fingerprint comparison unit 805, if determining that unit 803 determines to meet above-mentioned prerequisite
Determine that above-mentioned original fingerprint image can be identified, then use above-mentioned original fingerprint image to refer to above-mentioned registration
Stricture of vagina is compared;If above-mentioned identification determines that unit 803 determines that being unsatisfactory for above-mentioned prerequisite determines above-mentioned former
Beginning fingerprint image can not be identified, then use above-mentioned fingerprint analog data to compare with above-mentioned registered fingerprint
Right.
In the present embodiment, original fingerprint image is the fingerprint image for subsequent fingerprint analog data
Picture, can be that other equipment sends the fingerprint image of coming, it is also possible to be the fingerprint of local device collection acquisition
Image;Registered fingerprint is stored in comparing used fingerprint for user inputs fingerprint of this locality,
It is typically to be preset by user, corresponding to the certification of operating right.
Validity feature point is the obvious characteristic point of those features in fingerprint image, can be with single characteristic point
Basis for estimation, the most individually judges that each characteristic point is the most obvious, it is then determined that the feature of whole fingerprint image
Point is the most obvious;Can also be that the direct validity feature point with overall original fingerprint image is carried out for foundation
Judging, such as: when finger humidity is the highest, original fingerprint image can be rendered as the overall spy that peak valley difference is little
Point;When finger humidity is the lowest, it is discontinuous that original fingerprint image can present fingerprint, and the peak valley of characteristic point disconnects
More feature.Preset condition then can respective settings accordingly.Owing to whether judging original fingerprint image
The mode that can be identified, has different algorithms available based on different characteristic point judgment modes, this
It cannot be carried out exhaustive by inventive embodiments, and therefore this is not made uniqueness restriction by the embodiment of the present invention.
In the present embodiment, original fingerprint image is primarily determined that by the validity feature point of original fingerprint image
Can be identified, thus select the unlocked by fingerprint mode being more suitable for;Wherein, at original fingerprint figure
First feature amplify after the mode of comparison is preferably used in the case of the characteristic point of picture is less or unconspicuous ensure
Unlock success rate;In the case of the characteristic point of original fingerprint image substantially can be identified, it is possible to reduce
The processing procedures such as feature amplification, thus save the time of unlocked by fingerprint, improve unlocked by fingerprint efficiency.
The embodiment of the present invention gives one can be as the determination original fingerprint image of preferred implementation scheme
Can be identified and the implementation of alignment schemes selection, specific as follows: alternatively, as shown in Figure 8 B,
Above-mentioned fingerprint acquiring unit 801, for obtaining original fingerprint figure by the fingerprint collecting equipment of terminal unit
Picture;
The said equipment also includes:
Humidity sensor 806, for obtaining the finger humidity inputting above-mentioned original fingerprint image;
Above-mentioned fingerprint comparison unit 805, if the above-mentioned finger humidity obtained for above-mentioned humidity sensor 806
Then determine that above-mentioned validity feature point is unsatisfactory for above-mentioned prerequisite more than first threshold or less than Second Threshold
And determine that above-mentioned original fingerprint image can not be identified, then perform above-mentioned use above-mentioned fingerprint analog data
Compare with above-mentioned registered fingerprint.
In the present embodiment, terminal unit has fingerprint collecting equipment and humidity sensor, it is possible to understand that
Be first threshold be to may result in the critical of original fingerprint image None-identified for determining that finger is overly wet
Value, Second Threshold is then to may result in facing of original fingerprint image None-identified for determining that finger is the most dry
Dividing value;Therefore, first threshold can be much larger than Second Threshold;If finger humidity is between first threshold and second
Between threshold value, can arbitrarily select two kinds of alignments, additionally can also be recorded by previous embodiment
Other modes determine whether characteristic point meets other prerequisites to predict that original fingerprint image whether can
Identified.The citing of the present embodiment comprehensively can use with the prerequisite in previous embodiment, and
And prerequisite is not unique in previous embodiment, the citing of the present embodiment should not be construed as the present invention real
The uniqueness executing example limits.
Feature in the embodiment of the present invention amplifies to comprise makes fingerprint image become relatively sharp, and feature is more
The all image procossing closer to real fingerprint image are obtained for substantially and carrying out fingerprint image repairing
Algorithm, this gives one of them and preferably illustrates, specific as follows: as it is shown in figure 9, above-mentioned
Fingerprint processing unit 804, including:
Pixel value acquiring unit 901, for obtaining the pixel value of each pixel in above-mentioned original fingerprint image;
Grey decision-making computing unit 902, for according to the pixel value of target pixel points, and with above-mentioned target picture
The pixel value of the pixel that vegetarian refreshments is adjacent, calculates the grey decision-making of above-mentioned target pixel points;Above-mentioned object pixel
Point belongs to the pixel in above-mentioned original fingerprint image;
Progression determines unit 903, for the GTG of each pixel in being calculated above-mentioned original fingerprint image
After value, determine the progression of the grey decision-making of above-mentioned original fingerprint image;
Image conversion unit 904, for improving the progression of the grey decision-making of above-mentioned original fingerprint image, by above-mentioned
Original fingerprint image is converted to fingerprint analog data.
Pixel point value, is for measuring the parameter of each pixel in fingerprint image in fingerprint image, with electric capacity
As a example by the fingerprint collecting equipment of formula, this pixel value can be capacitance, it is also possible to be the capacitance after weighting.
This embodiment of the present invention can not made by different fingerprint image acquisition technology to there being different pixel values
Uniqueness limits.
Grey decision-making be pixel the darkest black to the brightest white between brightness hierarchical relationship;Grasp at form
Making in system, usually 256 rank, figure place is 8, a value in every single order corresponding 0~255, claims
For grey decision-making.
Gray scale is the black of the different saturation on the basis of black, there are differences between gray scale, by 100%
Saturation between black and 0% black (white) is divided into multiple level, then each saturation can be right
One of them level should be arrived, be grey decision-making;The quantity of one all different grey decision-making related to of image is i.e.
Progression for grey decision-making.Using binary system in field of computer technology at present, grey decision-making figure place represents,
Assuming that figure place is m, then m power the GTG of 2 can be had to be expressed.Such as: 8 can represent
256 grey decision-making.Understand based on described above: the progression of grey decision-making can set, however it is not limited to one
Individual fixed value.
The embodiment of the present invention, by the process of the pixel value to original fingerprint image, it is thus achieved that each pixel value
Grey decision-making, and determined therefrom that the progression of the grey decision-making of this original fingerprint image, original by improving this
The progression of the grey decision-making of fingerprint image obtains fingerprint analog data, can make fingerprint analog data relative to
Original fingerprint image is closer to real fingerprint image, and makes the feature of fingerprint analog data the most prominent,
Thus be conducive to improving the discrimination of fingerprint image, and be conducive to unblock rate and authentication efficiency further
Improve.
Alternatively, above-mentioned pixel value acquiring unit 901, gather above-mentioned specifically for obtaining fingerprint collecting equipment
The capacitance of each pixel in the fingerprint image that original fingerprint image obtains, or the weighted value of capacitance.
It is understood that different fingerprint image acquisition technology can to there being different pixel values, because of
This, with the pixel value as a example by capacitance, or the weighted value of capacitance, should not be construed as the embodiment of the present invention
Uniqueness limit.
Alternatively, the present embodiment additionally provides the circular of grey decision-making, specific as follows: above-mentioned ash
Rank value computing unit 902, in determining in the default size contiguous range of above-mentioned target pixel points
Heart point pixel value, max pixel value and minimum pixel value;
The grey decision-making calculating above-mentioned target pixel points is: A* (central point pixel value-minimum pixel value)/(
Big pixel value-minimum pixel value), wherein 200≤A≤255.
In above-mentioned target pixel points and the pixel adjacent with above-mentioned target pixel points, it is positioned at central point
The pixel value of pixel be central point pixel value, the pixel value that the maximum pixel of pixel value is corresponding is
Big pixel value, the pixel value that the pixel of pixel value minimum is corresponding is minimum pixel value.Real by the present invention
The calculation executing example can take into full account the difference between pixel and surrounding pixel point, so that it is determined that one
Individual relatively reasonable grey decision-making.
Alternatively, the pixel that above-mentioned and above-mentioned target pixel points is adjacent includes:
N*n pixel of point centered by above-mentioned target pixel points, above-mentioned n is the odd number more than 1.
In the present embodiment, n value is the odd number more than 1, and target pixel points so can be made to be positioned at participation
The center that grey decision-making calculates, is conducive to accurately determining the grey decision-making of target pixel points;Wherein n is usual
Value can be 3 or 5, it is also possible to be other values;Less n can improve computational efficiency, bigger
N can make fingerprint image more equalize, both balances, can use 5 or 7 as the relatively figure of merit.
The embodiment of the present invention additionally provides a kind of terminal unit, as shown in Figure 10, including: processor 1001
And memorizer 1002;Wherein memorizer 1002 may be used for processor 1001 and performs data and process required
The caching wanted, it is also possible to process the data called and acquisition for providing processor 1001 to perform data
The memory space of result data;As an optional module, terminal unit can also comprise fingerprint collecting and set
Standby 1003;If it should be noted that original fingerprint image comes from the fingerprint image that other equipment gathers
Picture, local terminal can not have this fingerprint collecting equipment 1003;It addition, in the present embodiment, also
Can comprise humidity sensor 1004, wherein the purposes of humidity sensor 1004 has in subsequent embodiment in detail
Describe in detail bright;It should be noted that the judgment mode according to other validity feature point can have wet
Degree sensor 1004.
Wherein, above-mentioned processor 1001, it is used for obtaining original fingerprint image, and determines and above-mentioned original finger
Registered fingerprint corresponding to print image;Determine the validity feature point of above-mentioned original fingerprint image, determine above-mentioned
Whether validity feature point meets prerequisite, and above-mentioned prerequisite is for determining above-mentioned original fingerprint image
The condition whether can being correctly validated;If meeting above-mentioned prerequisite to determine above-mentioned original fingerprint image energy
Enough identified, then use above-mentioned original fingerprint image to compare with above-mentioned registered fingerprint;If being unsatisfactory for
State prerequisite and determine that above-mentioned original fingerprint image can not be identified, first to above-mentioned original fingerprint figure
Obtain fingerprint analog data as carrying out feature processing and amplifying, then use above-mentioned fingerprint analog data with above-mentioned
Registered fingerprint is compared.
In the present embodiment, original fingerprint image is the fingerprint image for subsequent fingerprint analog data
Picture, can be that other equipment sends the fingerprint image of coming, it is also possible to be the fingerprint of local device collection acquisition
Image;Registered fingerprint is stored in comparing used fingerprint for user inputs fingerprint of this locality,
It is typically to be preset by user, corresponding to the certification of operating right.
Validity feature point is the obvious characteristic point of those features in fingerprint image, can be with single characteristic point
Basis for estimation, the most individually judges that each characteristic point is the most obvious, it is then determined that the feature of whole fingerprint image
Point is the most obvious;Can also be that the direct validity feature point with overall original fingerprint image is carried out for foundation
Judging, such as: when finger humidity is the highest, original fingerprint image can be rendered as the overall spy that peak valley difference is little
Point;When finger humidity is the lowest, it is discontinuous that original fingerprint image can present fingerprint, and the peak valley of characteristic point disconnects
More feature.Preset condition then can respective settings accordingly.Owing to whether judging original fingerprint image
The mode that can be identified, has different algorithms available based on different characteristic point judgment modes, this
It cannot be carried out exhaustive by inventive embodiments, and therefore this is not made uniqueness restriction by the embodiment of the present invention.
In the present embodiment, original fingerprint image is primarily determined that by the validity feature point of original fingerprint image
Can be identified, thus select the unlocked by fingerprint mode being more suitable for;Wherein, at original fingerprint figure
First feature amplify after the mode of comparison is preferably used in the case of the characteristic point of picture is less or unconspicuous ensure
Unlock success rate;In the case of the characteristic point of original fingerprint image substantially can be identified, it is possible to reduce
The processing procedures such as feature amplification, thus save the time of unlocked by fingerprint, improve unlocked by fingerprint efficiency.
The embodiment of the present invention gives one can be as the determination original fingerprint image of preferred implementation scheme
Can be identified and the implementation of alignment schemes selection, specific as follows: alternatively, above-mentioned processor
1001, it is used for obtaining original fingerprint image and includes: for being obtained by the fingerprint collecting equipment of terminal unit
Original fingerprint image;Above-mentioned processor 1001, is additionally operable to obtain input by humidity sensor above-mentioned original
The finger humidity of fingerprint image;If above-mentioned finger humidity is more than first threshold or less than Second Threshold, true
Fixed above-mentioned validity feature point is unsatisfactory for above-mentioned prerequisite and determines that above-mentioned original fingerprint image can not be known
, then do not perform the above-mentioned feature processing and amplifying that first above-mentioned original fingerprint image carried out and obtain fingerprint simulation number
According to, then use above-mentioned fingerprint analog data to compare with above-mentioned registered fingerprint.
In the present embodiment, terminal unit has fingerprint collecting equipment and humidity sensor, it is possible to understand that
Be first threshold be to may result in the critical of original fingerprint image None-identified for determining that finger is overly wet
Value, Second Threshold is then to may result in facing of original fingerprint image None-identified for determining that finger is the most dry
Dividing value;Therefore, first threshold can be much larger than Second Threshold;If finger humidity is between first threshold and second
Between threshold value, can arbitrarily select two kinds of alignments, additionally can also be recorded by previous embodiment
Other modes determine whether characteristic point meets other prerequisites to predict that original fingerprint image whether can
Identified.The citing of the present embodiment comprehensively can use with the prerequisite in previous embodiment, and
And prerequisite is not unique in previous embodiment, the citing of the present embodiment should not be construed as the present invention real
The uniqueness executing example limits.
Feature in the embodiment of the present invention amplifies to comprise makes fingerprint image become relatively sharp, and feature is more
The all image procossing closer to real fingerprint image are obtained for substantially and carrying out fingerprint image repairing
Algorithm, this gives one of them and preferably illustrates, specific as follows: above-mentioned processor 1001,
Fingerprint analog data is obtained for above-mentioned original fingerprint image is carried out feature processing and amplifying, including:
For obtaining the pixel value of each pixel in above-mentioned original fingerprint image;
According to the pixel value of target pixel points, and the pixel of the pixel adjacent with above-mentioned target pixel points
Value, calculates the grey decision-making of above-mentioned target pixel points;Above-mentioned target pixel points belongs to above-mentioned original fingerprint image
In pixel;
In being calculated above-mentioned original fingerprint image after the grey decision-making of each pixel, determine above-mentioned original finger
The progression of the grey decision-making of print image;
Improve the progression of the grey decision-making of above-mentioned original fingerprint image, be converted to above-mentioned original fingerprint image refer to
Stricture of vagina analog data.
The embodiment of the present invention, by the process of the pixel value to original fingerprint image, it is thus achieved that each pixel value
Grey decision-making, and determined therefrom that the progression of the grey decision-making of this original fingerprint image, original by improving this
The progression of the grey decision-making of fingerprint image obtains fingerprint analog data, can make fingerprint analog data relative to
Original fingerprint image is closer to real fingerprint image, and makes the feature of fingerprint analog data the most prominent,
Thus be conducive to improving the discrimination of fingerprint image, and be conducive to unblock rate and authentication efficiency further
Improve.
Alternatively, above-mentioned processor 1001, for obtaining the picture of each pixel in above-mentioned original fingerprint image
Element value includes:
For gathering each pixel in the fingerprint image that above-mentioned original fingerprint image obtains by fingerprint collecting equipment
Capacitance, or the weighted value of capacitance.
It is understood that different fingerprint image acquisition technology can to there being different pixel values, because of
This, with the pixel value as a example by capacitance, or the weighted value of capacitance, should not be construed as the embodiment of the present invention
Uniqueness limit.
Alternatively, the present embodiment additionally provides the circular of grey decision-making, specific as follows: above-mentioned place
Reason device 1001, for the pixel value according to target pixel points, and the picture adjacent with above-mentioned target pixel points
The pixel value of vegetarian refreshments, the grey decision-making calculating above-mentioned target pixel points includes:
Central point pixel value in the default size contiguous range determining above-mentioned target pixel points, maximum
Pixel value and minimum pixel value;
The grey decision-making calculating above-mentioned target pixel points is: A* (central point pixel value-minimum pixel value)/(
Big pixel value-minimum pixel value), wherein 200≤A≤255.
In above-mentioned target pixel points and the pixel adjacent with above-mentioned target pixel points, it is positioned at central point
The pixel value of pixel be central point pixel value, the pixel value that the maximum pixel of pixel value is corresponding is
Big pixel value, the pixel value that the pixel of pixel value minimum is corresponding is minimum pixel value.Real by the present invention
The calculation executing example can take into full account the difference between pixel and surrounding pixel point, so that it is determined that one
Individual relatively reasonable grey decision-making.
Alternatively, the pixel that above-mentioned and above-mentioned target pixel points is adjacent includes:
N*n pixel of point centered by above-mentioned target pixel points, above-mentioned n is the odd number more than 1.
In the present embodiment, n value is the odd number more than 1, and target pixel points so can be made to be positioned at participation
The center that grey decision-making calculates, is conducive to accurately determining the grey decision-making of target pixel points;Wherein n is usual
Value can be 3 or 5, it is also possible to be other values;Less n can improve computational efficiency, bigger
N can make fingerprint image more equalize, both balances, can use 5 or 7 as the relatively figure of merit.
The embodiment of the present invention additionally provides another kind of terminal unit, as shown in figure 11, for convenience of description,
Illustrate only the part relevant to the embodiment of the present invention, concrete ins and outs do not disclose, refer to this
Bright embodiment method part.This terminal can be to include mobile phone, panel computer, PDA (Personal Digital
Assistant, personal digital assistant), POS (Point of Sales, point-of-sale terminal), vehicle-mounted computer etc. appoint
Meaning terminal unit, as a example by terminal is as mobile phone:
Figure 11 is illustrated that the frame of the part-structure of the mobile phone relevant to the terminal of embodiment of the present invention offer
Figure.With reference to Figure 11, mobile phone includes: radio frequency (Radio Frequency, RF) circuit 1110, memorizer
1120, input block 1130, display unit 1140, sensor 1150, voicefrequency circuit 1160, wireless guarantor
The very parts such as (wireless fidelity, WiFi) module 1170, processor 1180 and power supply 1190.
It will be understood by those skilled in the art that the handset structure shown in Figure 11 is not intended that the restriction to mobile phone,
Can include that ratio illustrates more or less of parts, or combine some parts, or different parts cloth
Put.
Below in conjunction with Figure 11 each component parts of mobile phone carried out concrete introduction:
RF circuit 1110 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 1180;It addition, send out designing up data
Give base station.Generally, RF circuit 1110 includes but not limited to antenna, at least one amplifier, transmitting-receiving letter
Machine, bonder, low-noise amplifier (Low Noise Amplifier, LNA), duplexer etc..Additionally,
RF circuit 1110 can also be communicated with network and other equipment by radio communication.Above-mentioned radio communication is permissible
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 1120 can be used for storing software program and module, and processor 1180 is stored by operation
In software program and the module of memorizer 1120, thus perform the application of various functions and the data of mobile phone
Process.Memorizer 1120 can mainly include storing program area and storage data field, wherein, stores program area
Application program (the such as sound-playing function, image needed for operating system, at least one function can be stored
Playing function etc.) etc.;Storage data field can store data (the such as sound that the use according to mobile phone is created
Frequency evidence, phone directory etc.) etc..Additionally, memorizer 1120 can include high-speed random access memory,
Can also include nonvolatile memory, for example, at least one disk memory, flush memory device or its
His volatile solid-state part.
Input block 1130 can be used for receiving numeral or the character information of input, and produces the use with mobile phone
Family is arranged and function controls relevant key signals input.Specifically, input block 1130 can include touch-control
Panel 1131 and other input equipments 1132.Contact panel 1131, also referred to as touch screen, can collect use
Family thereon or neighbouring touch operation (such as user use any applicable object such as finger, stylus or
Adnexa operation on contact panel 1131 or near contact panel 1131), and according to set in advance
Formula drives corresponding attachment means.Optionally, contact panel 1131 can include touch detecting apparatus and touch
Touch two parts of controller.Wherein, the touch orientation of touch detecting apparatus detection user, and detect touch
The signal that operation brings, transmits a signal to touch controller;Touch controller is from touch detecting apparatus
Receive touch information, and be converted into contact coordinate, then give processor 1180, and can reception process
Order that device 1180 is sent also is performed.Furthermore, it is possible to use resistance-type, condenser type, infrared ray with
And the polytype such as surface acoustic wave realizes contact panel 1131.Except contact panel 1131, input block 1130
Other input equipments 1132 can also be included.Specifically, other input equipments 1132 can include but not limit
In physical keyboard, function key (such as volume control button, switch key etc.), trace ball, mouse, behaviour
Make one or more in bar etc..
Display unit 1140 can be used for showing the information inputted by user or the information being supplied to user and hands
The various menus of machine.Display unit 1140 can include display floater 1141, optionally, can use liquid crystal
Display (Liquid Crystal Display, LCD), Organic Light Emitting Diode (Organic Light-Emitting
Diode, OLED) etc. form configure display floater 1141.Further, contact panel 1131 can cover
Lid display floater 1141, when contact panel 1131 detects thereon or after neighbouring touch operation, transmits
To processor 1180 to determine the type of touch event, with preprocessor 1180 according to the class of touch event
Type provides corresponding visual output on display floater 1141.Although in fig. 11, contact panel 1131
It is to realize input and the input function of mobile phone as two independent parts with display floater 1141, but
In some embodiments it is possible to by integrated to contact panel 1131 and display floater 1141 and realize mobile phone
Input and output function.
Mobile phone may also include at least one sensor 1150, such as optical sensor, motion sensor and its
His sensor.Specifically, optical sensor can include ambient light sensor and proximity transducer, wherein, ring
Border optical sensor can regulate the brightness of display floater 1141, proximity transducer according to the light and shade of ambient light
Display floater 1141 and/or backlight can be closed when mobile phone moves in one's ear.As motion sensor one
Kind, accelerometer sensor can detect the size of (generally three axles) acceleration in all directions, time static
Can detect that size and the direction of gravity, 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.;Extremely
The gyroscope that can also configure in mobile phone, barometer, drimeter, thermometer, infrared ray sensor etc. other
Sensor, does not repeats them here.
Voicefrequency circuit 1160, speaker 1161, microphone 1162 can provide the audio frequency between user and mobile phone
Interface.The signal of telecommunication after the voice data conversion that voicefrequency circuit 1160 can will receive, is transferred to speaker
1161, speaker 1161 be converted to acoustical signal output;On the other hand, microphone 1162 is by collection
Acoustical signal is converted to the signal of telecommunication, voicefrequency circuit 1160 be converted to voice data after receiving, then by audio frequency
After data output processing device 1180 processes, through RF circuit 1110 to be sent to such as another mobile phone, or
Voice data is exported to memorizer 1120 to process further.
WiFi belongs to short range wireless transmission technology, and mobile phone can help user by WiFi module 1170
Sending and receiving e-mail, browse webpage and access streaming video etc., it is mutual that it has provided the user wireless broadband
Internet interview.Although Figure 11 shows WiFi module 1170, but it is understood that, it does not belong to
Must be configured in mobile phone, can omit completely as required in not changing the scope of essence of invention.
Processor 1180 is the control centre of mobile phone, utilizes each of various interface and the whole mobile phone of connection
Individual part, by running or perform to be stored in the software program in memorizer 1120 and/or module, and adjusts
By the data being stored in memorizer 1120, perform the various functions of mobile phone and process data, thus opponent
Machine carries out integral monitoring.Optionally, processor 1180 can include one or more processing unit;Preferably,
Processor 1180 can integrated application processor and modem processor, wherein, application processor is mainly located
Reason operating system, user interface and application program etc., modem processor mainly processes radio communication.
It is understood that above-mentioned modem processor can not also be integrated in processor 1180.
Mobile phone also includes the power supply 1190 (such as battery) powered to all parts, it is preferred that power supply is permissible
Logically contiguous with processor 1180 by power-supply management system, thus realize management by power-supply management system
The functions such as charging, 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 unit realize.Wherein
Sensor 1150 or contact panel 1131 can use as fingerprint collecting equipment.
It should be noted that above-mentioned unlocked by fingerprint controls in apparatus embodiments, included unit is only
Divide according to function logic, but be not limited to above-mentioned division, as long as being capable of corresponding
Function;It addition, the specific name of each functional unit is also only to facilitate mutually distinguish, not
For limiting the scope of the invention.
It addition, one of ordinary skill in the art will appreciate that realize whole in above-mentioned each method embodiment or
Part steps can be by program and completes to instruct relevant hardware, and corresponding program can be stored in one
In kind of computer-readable recording medium, storage medium mentioned above can be read only memory, disk or
CD etc..
These are only the present invention preferably detailed description of the invention, but protection scope of the present invention is not limited to
This, any those familiar with the art, can in the technical scope that the embodiment of the present invention discloses
The change readily occurred in or replacement, all should contain within protection scope of the present invention.Therefore, the present invention
Protection domain should be as the criterion with scope of the claims.
Claims (13)
1. a unlocked by fingerprint control method, it is characterised in that including:
Obtain original fingerprint image, and determine and the registered fingerprint corresponding to described original fingerprint image;
Determine the validity feature point of described original fingerprint image, determine whether described validity feature point meets pre-
Putting condition, described prerequisite is for determining whether described original fingerprint image can be correctly validated
Condition;
If meeting described prerequisite to determine that described original fingerprint image can be identified, then use described former
Beginning fingerprint image is compared with described registered fingerprint;
If being unsatisfactory for described prerequisite to determine that described original fingerprint image can not be identified, the most right
Described original fingerprint image carries out feature processing and amplifying and obtains fingerprint analog data, then uses described fingerprint
Analog data is compared with described registered fingerprint.
Method the most according to claim 1, it is characterised in that described acquisition original fingerprint image includes:
Original fingerprint image is obtained by the fingerprint collecting equipment of terminal unit;Described method also includes:
The finger humidity inputting described original fingerprint image is obtained by humidity sensor;
If described finger humidity is more than first threshold or less than Second Threshold, determine described validity feature point
It is unsatisfactory for described prerequisite and determines that described original fingerprint image can not be identified, then performing described head
First described original fingerprint image is carried out feature processing and amplifying and obtains fingerprint analog data, then use described
Fingerprint analog data is compared with described registered fingerprint.
Method the most according to claim 1 or claim 2, it is characterised in that described to described original fingerprint figure
Fingerprint analog data is obtained as carrying out feature processing and amplifying, including:
Obtain the pixel value of each pixel in described original fingerprint image;
According to the pixel value of target pixel points, and the pixel of the pixel adjacent with described target pixel points
Value, calculates the grey decision-making of described target pixel points;Described target pixel points belongs to described original fingerprint image
In pixel;
In being calculated described original fingerprint image after the grey decision-making of each pixel, determine described original finger
The progression of the grey decision-making of print image;
Improve the progression of the grey decision-making of described original fingerprint image, be converted to described original fingerprint image refer to
Stricture of vagina analog data.
Method the most according to claim 3, it is characterised in that described acquisition described original fingerprint image
In the pixel value of each pixel include:
Fingerprint collecting equipment gathers the electric capacity of each pixel in the fingerprint image that described original fingerprint image obtains
Value, or the weighted value of capacitance.
Method the most according to claim 3, it is characterised in that the described pixel according to target pixel points
Value, and the pixel value of the pixel adjacent with described target pixel points, calculate described target pixel points
Grey decision-making includes:
Determine the central point pixel value in the default size contiguous range of described target pixel points, maximum pixel
Value and minimum pixel value;
The grey decision-making calculating described target pixel points is: A* (central point pixel value-minimum pixel value)/(
Big pixel value-minimum pixel value), wherein 200≤A≤255.
Method the most according to claim 3, it is characterised in that described and described target pixel points is adjacent
Pixel include:
N*n pixel of point centered by described target pixel points, described n is the odd number more than 1.
7. a unlocked by fingerprint controls equipment, it is characterised in that including:
Fingerprint acquiring unit, is used for obtaining original fingerprint image;
Fingerprint determines unit, for determining and the registered fingerprint corresponding to described original fingerprint image;
Identification determines unit, for determining the validity feature point of described original fingerprint image, determine described in have
Whether effect characteristic point meets prerequisite, and described prerequisite is for determining that described original fingerprint image is
The no condition that can be correctly validated;
Fingerprint processing unit, obtains fingerprint mould for described original fingerprint image is carried out feature processing and amplifying
Intend data;
For described identification, fingerprint comparison unit, if determining that unit determines that meeting described prerequisite determines institute
State original fingerprint image can be identified, then use described original fingerprint image to carry out with described registered fingerprint
Comparison;If described identification determines that unit determines that being unsatisfactory for described prerequisite determines described original fingerprint image
Can not be identified, then use described fingerprint analog data to compare with described registered fingerprint.
Equipment the most according to claim 7, it is characterised in that
Described fingerprint acquiring unit, for obtaining original fingerprint figure by the fingerprint collecting equipment of terminal unit
Picture;
Described equipment also includes:
Humidity sensor, for obtaining the finger humidity inputting described original fingerprint image;
Described fingerprint comparison unit, if the described finger humidity obtained for described humidity sensor is more than the
One threshold value or then determine that described validity feature point is unsatisfactory for described prerequisite and determines less than Second Threshold
Described original fingerprint image can not be identified, then perform described use described fingerprint analog data with described
Registered fingerprint is compared.
9. according to equipment described in claim 7 or 8, it is characterised in that described fingerprint processing unit, bag
Include:
Pixel value acquiring unit, for obtaining the pixel value of each pixel in described original fingerprint image;
Grey decision-making computing unit, for according to the pixel value of target pixel points, and with described object pixel
The pixel value of the pixel that point is adjacent, calculates the grey decision-making of described target pixel points;Described target pixel points
Belong to the pixel in described original fingerprint image;
Progression determines unit, for the grey decision-making of each pixel in being calculated described original fingerprint image
After, determine the progression of the grey decision-making of described original fingerprint image;
Image conversion unit, for improving the progression of the grey decision-making of described original fingerprint image, by described former
Beginning fingerprint image is converted to fingerprint analog data.
Equipment the most according to claim 9, it is characterised in that
Described pixel value acquiring unit, gathers described original fingerprint figure specifically for obtaining fingerprint collecting equipment
As the capacitance of each pixel in the fingerprint image of acquisition, or the weighted value of capacitance.
11. equipment according to claim 9, it is characterised in that
Described grey decision-making computing unit, specifically for determining the default big small neighbourhood model of described target pixel points
Central point pixel value, max pixel value and minimum pixel value in enclosing;
The grey decision-making calculating described target pixel points is: A* (central point pixel value-minimum pixel value)/(
Big pixel value-minimum pixel value), wherein 200≤A≤255.
12. equipment according to claim 9, it is characterised in that described and described target pixel points phase
Adjacent pixel includes:
N*n pixel of point centered by described target pixel points, described n is the odd number more than 1.
13. 1 kinds of terminal units, including: processor and memorizer, wherein said processor is used for performing
Method described in claim 1 to 6 any one.
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CN106503525A (en) * | 2016-10-31 | 2017-03-15 | 三星电子(中国)研发中心 | Unlocked by fingerprint method, device and terminal |
CN106709459A (en) * | 2016-12-27 | 2017-05-24 | 努比亚技术有限公司 | Fingerprint identification method and mobile terminal |
CN106803058A (en) * | 2016-11-30 | 2017-06-06 | 努比亚技术有限公司 | A kind of terminal and fingerprint identification method |
CN108780493A (en) * | 2016-12-14 | 2018-11-09 | 深圳市汇顶科技股份有限公司 | The detection method and device in wet hand region in fingerprint image |
TWI650712B (en) * | 2017-09-30 | 2019-02-11 | 北京集創北方科技股份有限公司 | Fingerprint capture method and fingerprint capture module |
CN112991594A (en) * | 2021-04-01 | 2021-06-18 | 德施曼机电(中国)有限公司 | Fingerprint lock and unlocking method thereof |
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CN104766074A (en) * | 2015-04-29 | 2015-07-08 | 宁波摩米创新工场电子科技有限公司 | Bias voltage type fingerprint recognition system based on logic amplifying processing |
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CN1538345A (en) * | 2003-04-18 | 2004-10-20 | ����ŷ�������ʽ���� | Fingerprinter image reading device |
US20100182124A1 (en) * | 2009-01-16 | 2010-07-22 | Chi Mei Communication Systems, Inc. | Electronic device and fingerprint identifying method employing the same |
CN103065134A (en) * | 2013-01-22 | 2013-04-24 | 江苏超创信息软件发展股份有限公司 | Fingerprint identification device and method with prompt information |
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
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CN106503525A (en) * | 2016-10-31 | 2017-03-15 | 三星电子(中国)研发中心 | Unlocked by fingerprint method, device and terminal |
CN106803058A (en) * | 2016-11-30 | 2017-06-06 | 努比亚技术有限公司 | A kind of terminal and fingerprint identification method |
CN108780493A (en) * | 2016-12-14 | 2018-11-09 | 深圳市汇顶科技股份有限公司 | The detection method and device in wet hand region in fingerprint image |
CN106709459A (en) * | 2016-12-27 | 2017-05-24 | 努比亚技术有限公司 | Fingerprint identification method and mobile terminal |
TWI650712B (en) * | 2017-09-30 | 2019-02-11 | 北京集創北方科技股份有限公司 | Fingerprint capture method and fingerprint capture module |
CN112991594A (en) * | 2021-04-01 | 2021-06-18 | 德施曼机电(中国)有限公司 | Fingerprint lock and unlocking method thereof |
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