CN108898089A - A kind of characteristic recognition method and electronic equipment - Google Patents
A kind of characteristic recognition method and electronic equipment Download PDFInfo
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- CN108898089A CN108898089A CN201810662807.XA CN201810662807A CN108898089A CN 108898089 A CN108898089 A CN 108898089A CN 201810662807 A CN201810662807 A CN 201810662807A CN 108898089 A CN108898089 A CN 108898089A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1365—Matching; Classification
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Abstract
The present invention provides a kind of characteristic recognition method and electronic equipment, method includes obtaining feature identifier to receive the first image acquired when feature input operation；The second image procossing acquired before receiving the feature input operation to the first image and the feature identifier obtains third image；Feature identification is carried out using the third image, the application can be improved the safety of feature identification.
Description
Technical field
The present invention relates to technical field of information processing, more particularly to a kind of characteristic recognition method and electronics are set
It is standby.
Background technique
Currently, many electronic equipments have feature recognition capability, feature currently entered is obtained by feature identifier,
And it is matched with preset features.And in order to reduce false recognition rate and improve recognition speed, in many electronic equipments
Feature identifier also supports " training study ", i.e., after characteristic matching success, can be trained to the feature of the successful match
Study.
But inventors have found that " the training study " of feature identifier can have some potential safety problems, below with electronics
The fingerprint recognition of equipment is described in detail.
Electronic equipment gets the fingerprint of user's input by Fingerprint Identification Unit, and the identification of itself and preset fingerprint is carried out
Matching, after successful match, Fingerprint Identification Unit can carry out self study to the fingerprint that this is obtained.That is, fingerprint of today
Identifier supports " training study ", to provide training from the result of multiple brush finger line, to improve recognition efficiency.And at this
Under background, if in fingerprint identification region there is screen crackle or criminal deliberately to stick one in fingerprint identification region
Texture film, then, after each brush finger line of legitimate user successfully identifies, Fingerprint Identification Unit just will do it primary training, and screen is split
Line or texture hymenology practise a part for preset fingerprint, and by repeatedly training, fixed screen crackle or texture film are pre-
Setting proportion in fingerprint can also be gradually increased, i.e. the status of screen crackle or texture film in preset fingerprint is increasingly consolidated
Gu so that finally, when illegal user's brush finger line, due to the presence of screen crackle or texture film, can also be verified and pass through.
This allows for illegal user can brush out electronic equipment easily, cause great hidden danger.
To solve the above-mentioned problems, some manufacturers are improved by increasing algorithm identification point or complexity to leaving trace
Exclusive recognition capability, but as trace becomes increasingly complex or trace increasingly imitates the fingerprint of legitimate user, reach certain
After threshold, accidentally the case where study identification, still can exist, and can not inherently solve the problems, such as.
Summary of the invention
In view of this, the present invention provides a kind of characteristic recognition method and electronic equipment, to solve the above technical problems.
To achieve the above object, the present invention provides the following technical solutions：
A kind of characteristic recognition method, including：
It obtains feature identifier and receives the first image acquired when feature input operation；
The second image that the first image and the feature identifier are acquired before receiving the feature input operation
Processing obtains third image；
Feature identification is carried out using the third image.
Preferably, further include：
After identifying successfully using third image progress feature, the feature identifier acquisition present image is controlled,
The present image is for updating second image.
Preferably, the acquisition before receiving the feature input operation to the first image and the feature identifier
The second image procossing obtain third image, including：
The second image that the first image and the feature identifier are acquired before receiving the feature input operation
Exclusive or processing is carried out, third image is generated.
Preferably, further include：
When the feature identifier initializes completion, controls the feature identifier and acquire the second image.
Preferably, further include：
After identifying successfully using third image progress feature, the third image is saved；
Subsequent characteristics identification is carried out using the third image.
A kind of electronic equipment, including：
Feature identifier, for acquiring image；
Processor receives the first image acquired when feature input operation for obtaining the feature identifier, to described
The second image procossing that first image and the feature identifier acquire before receiving the feature input operation obtains third figure
Picture carries out feature identification using the third image.
Preferably, the processor is also used to after being identified successfully using third image progress feature, described in control
Feature identifier acquires present image, and the present image is for updating second image.
Preferably, the processor is receiving the feature input behaviour to the first image and the feature identifier
The second image procossing acquired before making obtains in third image, is specifically used for existing the first image and the feature identifier
It receives the second image acquired before the feature input operation and carries out exclusive or processing, generate third image.
Preferably, the processor is also used to when the feature identifier initializes completion, controls the feature identification
Device acquires the second image.
Preferably, the processor is also used to after being identified successfully using third image progress feature, described in preservation
Third image carries out subsequent characteristics identification using the third image.
It can be seen via above technical scheme that compared with prior art, this application provides a kind of characteristic recognition method, packets
The first image for obtaining and acquiring when feature identifier reception feature input operation is included, the first image and feature identifier are being received
The second image procossing acquired before the feature input operation obtains third image, carries out feature identification using third image, by
This is not as it can be seen that the application is receiving the first image progress feature knowledge acquired when feature input operation directly using feature identifier
Not, but it is handled with the second image for receiving the preceding acquisition of feature input operation to obtain third image, utilizes third
Image carries out feature identification, and this mode is acquired with when directly being operated in the prior art using feature identifier reception feature input
The first image carry out feature and know different otherwise, the safety of feature identification is improved, even if for example, feature identification region
There are screen crackle or texture film, what is utilized due to the application is treated third image, is shielded in the first image
Curtain crackle or texture film will not be used directly in feature identification, to improve the safety of feature identification.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 is a kind of flow diagram for characteristic recognition method that embodiment of the present invention method one provides；
Fig. 2 is a kind of flow diagram for characteristic recognition method that embodiment of the present invention method two provides；
Fig. 3 is a kind of flow diagram for characteristic recognition method that embodiment of the present invention method three provides；
Fig. 4 is a kind of flow diagram for characteristic recognition method that embodiment of the present invention method four provides；
Fig. 5 a is the schematic diagram for the second image that embodiment of the present invention method four provides；
Fig. 5 b is the schematic diagram for the first image that embodiment of the present invention method four provides；
Fig. 5 c is the schematic diagram for the third image that embodiment of the present invention method four provides；
Fig. 6 is a kind of flow diagram for characteristic recognition method that embodiment of the present invention method five provides；
Fig. 7 is the structural schematic diagram for a kind of electronic equipment that invention device embodiment one provides.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Currently, " the training study " of the feature identifier in electronic equipment can have some potential safety problems, below with electricity
" the training study " of the fingerprint recognition of sub- equipment is illustrated.
" training study " refers to after the success of user's brush finger line, can use the fingerprint of this acquisition to pre-set finger
Line is trained study, so that preset fingerprint template, which is gradually learnt into one from small area fingerprint one by one, includes finger whole
The large form of characteristic point, to reduce the false recognition rate of fingerprint.
But if in fingerprint identification region there is screen crackle or criminal deliberately to paste in fingerprint identification region
A upper texture film, then, after each brush finger line of legitimate user successfully identifies, Fingerprint Identification Unit can not only collect legitimate user
The fingerprint of this input, can also collect the screen crackle or texture film of fingerprint identification region simultaneously, then, that is being carried out
In training learning process, screen crackle or texture hymenology will be practised as a part of preset fingerprint template.And screen crackle
Or fixation is present in fingerprint identification region to texture film always, then logical repeatedly training study, can gradually increase fixed screen
Crackle or texture film ratio shared in preset fingerprint template, so that the ground of screen crackle or texture film in preset fingerprint
Position is increasingly consolidated, so that finally, when illegal user's brush finger line, and due to the presence of screen crackle or texture film,
Also it can be verified and pass through, this allows for illegal user can brush out electronic equipment easily, cause great hidden danger.
Although some manufacturers are improved by increasing algorithm identification point or complexity to the exclusive recognition capability for leaving trace,
But as trace becomes increasingly complex or trace increasingly imitates the fingerprint of legitimate user, after reaching certain threshold, accidentally learn
The case where identification, still can exist, and can not inherently solve the problems, such as.
A kind of characteristic recognition method and electronic equipment disclosed in the present application are able to solve the above problem, improve feature identification
Safety.
Embodiment of the present invention method one discloses a kind of characteristic recognition method, as shown in Figure 1, this method includes following step
Suddenly：
Step 101：It obtains feature identifier and receives the first image acquired when feature input operation；
Under certain condition, when operating body carrys out input feature vector input operation to feature identifier, feature identifier can be with
Collect the first image.It include the corresponding feature of feature input operation in first image.
It should be noted that the feature may include human body biological characteristics, and/or, object identification feature.
Wherein, human body biological characteristics can be human body fingerprint characteristic, body iris feature, human vein feature.Object mark
Knowing feature can be image scanning code, such as two dimensional code or bar code.
Correspondingly, different features corresponds to different feature identifiers, as somatic fingerprint feature corresponds to Fingerprint Identification Unit, rainbow
Film feature corresponds to iris recognition device, object identification feature correspondence image identifier.
Step 102：The first image and the feature identifier are acquired before receiving the feature input operation
Second image procossing obtains third image；
Wherein, the second image is characterized the second image that identifier acquires before receiving feature input operation.Specifically, the
Two images can be characterized the image acquired after identifier acquires the first image in upper primary reception feature input operation,
It is to receive feature input relative to this in step 101 to operate the adjacent last time that last time, which receives feature input,.
Alternatively, the second image, which can be characterized identifier, detects the input operation of this feature when just starting, but also not
The second image acquired before operation the first image of acquisition is inputted for this feature.Such as, by taking Fingerprint Identification Unit acquires fingerprint as an example,
Fingerprint Identification Unit can just start detecting fingerprint input, and since fingerprint is not also put into cog region completely by user, because
Before this does not carry out the acquisition of the first image also, the second image is first acquired.
Alternatively, the second image is the image acquired when feature identifier is initialized and completed, i.e., feature identifier is initial
Change and acquires the second image when completing.Specifically, feature identifier can be initialized after electronic equipment is switched on or restarts.
Regardless of feature identifier the second image collected is not include in such a way which kind of acquires the second image
The image of feature to be identified.
Step 103：Feature identification is carried out using the third image.
Specifically, third image can be handled, to obtain feature to be identified, by feature to be identified and preset features
It is matched, if successful match, it is determined that feature identifies successfully, then the processing behaviour that response current signature identification is corresponding
Make.If match cognization, it is determined that feature recognition failures, then being then not responding to the corresponding processing operation of current signature identification.
It can be seen that the application is not receiving the first image acquired when feature input operation directly using feature identifier
Feature identification is carried out, but it is handled with the second image acquired before reception feature input operation to obtain third figure
Picture, using third image carry out feature identification, this mode in the prior art directly utilize feature identifier reception feature it is defeated
Enter the first image acquired when operating and carry out feature knowledge difference otherwise, improves the safety of feature identification, even if for example,
What feature identification region was utilized there are screen crackle or texture film, due to the application is treated third image,
Screen crackle or texture film will not be used directly in feature identification in first image, to improve the safety of feature identification
Property.
Embodiment of the present invention method two provides a kind of characteristic recognition method, as shown in Fig. 2, this method includes following step
Suddenly：
Step 201：It obtains feature identifier and receives the first image acquired when feature input operation；
Step 202：The first image and the feature identifier are acquired before receiving the feature input operation
Second image procossing obtains third image；
Step 203：Feature identification is carried out using the third image；
Step 204：After being identified successfully using third image progress feature, controls the feature identifier acquisition and work as
Preceding image, the present image is for updating second image.
After being identified successfully using third image progress feature, the second image can be updated, i.e., controlling feature is known
Other device acquires present image, and the acquisition of the present image is the image acquired in the case that no feature inputs, thus using working as
Preceding image updates the second image.That is, updated second image can be used for next after feature identifies successfully
In secondary feature identification process.
Embodiment of the present invention method three provides a kind of characteristic recognition method, as shown in figure 3, this method includes following step
Suddenly：
Step 301：When feature identifier initializes completion, controls the feature identifier and acquire the second image；
Feature identifier can be set in electronic equipment, can be initialized when electronic equipment is switched on or restarts,
Or individually feature identifier can also be initialized.
Step 302：It obtains feature identifier and receives the first image acquired when feature input operation；
Step 303：The first image and the feature identifier are acquired before receiving the feature input operation
Second image procossing obtains third image；
Second image is characterized the image acquired when identifier initialization is completed, does not include spy to be identified in the second image
It levies, includes feature to be identified in the first image, by being handled the first image and the second image to obtain third image.
Step 304：Feature identification is carried out using the third image.
Embodiment of the present invention method four provides a kind of implementation for generating third image, as shown in figure 4, a kind of feature
Recognition methods includes the following steps：
Step 401：It obtains feature identifier and receives the first image acquired when feature input operation；
Step 402：The first image and the feature identifier are acquired before receiving the feature input operation
Second image carries out exclusive or processing, generates third image；
Specifically, the first image and the second image are carried out can first to use binary conversion treatment in exclusive or treatment process
First image and the second image are respectively converted into binary image by algorithm, are such as referred to as the first binary image and second
Then first binary image and the second binary image are carried out exclusive or processing by binary image.
It wherein can be successively by pixel corresponding in the pixel of the first binary image and the second binary image
Point carries out exclusive or processing, such as by the Nth row of the pixel of the Nth row m column of the first binary image and the second binary image
The pixel of m column carries out exclusive or processing, wherein N and M is positive integer, by by the first binary image and the second two-value
After the completion of the image exclusive or processing for changing all column of all rows of image, third image is generated.Such as by the first binary image
The pixel of the 1st row the 1st column of the pixel and the second binary image of 1st row the 1st column carries out exclusive or processing, by the first two-value
The pixel for changing the pixel of the 1st row the 2nd column of image and the 1st row the 2nd column of the second binary image carries out exclusive or processing ...
The pixel of 1st row m column of the pixel of the 1st row m column of the first binary image and the second binary image is carried out
Exclusive or processing ... is by the Nth row m column of the pixel of the Nth row m column of the first binary image and the second binary image
Pixel carries out exclusive or processing.
It is illustrated below by way of an application example
If it includes the image of screen crackle that the second image, which is, and the first image is characterized identifier and receives feature input behaviour
As when the image that acquires, therefore the feature to be identified including screen crackle and acquisition, then by the first image and the second image
The third image generate after exclusive or processing is exactly only to include feature to be identified without the image including screen crackle, makes to get profit
Feature identification is carried out with third image.That is, even if cog region has screen crackle, exclusive or treated third image
Not comprising the screen crackle, so that feature will not identify the screen crackle when identifying.That is, exclusive or treated third
Image is not comprising identical feature in the first image and the second image, and only comprising different in the first image and the second image
The image of feature.
As shown in Figure 5 a, to receive the second image acquired before feature input operation, 5b is when receiving feature input operation
First image of acquisition, 5c are exclusive or treated third image.Obviously, third image only includes feature to be identified, is not included
Texture film in second image.
It should be noted that in other embodiments of the present invention, the first image and can also be utilized by other means
Two images generate third image, and such as the first image and the second image carry out overlapping comparison, to remove in the first image
Feature identical with second image, to generate third image.
Step 403：Feature identification is carried out using the third image.
It can be seen that the application is not receiving the first image acquired when feature input operation directly using feature identifier
Feature identification is carried out, but it is obtained into third with preceding the second image progress exclusive or processing acquired of reception feature input operation
Image, using third image carry out feature identification, this mode in the prior art directly using feature identifier reception feature
The first image acquired when input operation carries out feature and knows difference otherwise, the safety of feature identification is improved, for example, such as
There are screen crackle or texture films for fruit feature identification region, then, including the screen crackle or texture film in the second image, and
Not only included screen crackle or texture film in first image, but also included feature to be identified, had only been wrapped by the third image that exclusive or is handled
Feature to be identified is included, therefore screen crackle or texture film will not be utilized in feature identification, to improve feature identification
Safety.
Embodiment of the present invention method five discloses a kind of characteristic recognition method, as shown in fig. 6, this method includes following step
Suddenly：
Step 601：It obtains feature identifier and receives the first image acquired when feature input operation；
Step 602：The first image and the feature identifier are acquired before receiving the feature input operation
Second image procossing obtains third image；
Step 603：Feature identification is carried out using the third image；
Step 604：After identifying successfully using third image progress feature, the third image is saved；
Step 605：Subsequent characteristics identification is carried out using the third image.
Preset features template training is learnt that is, can use third image, since third image is based on the
Image after one image and the second image procossing, the image obtained after being handled such as exclusive or, therefore, even if the identification of feature identifier
There are screen crackle or texture film, the screen crackle or texture films will not be present in third image in area, i.e., will not be to presence
The image of screen crackle or texture film is trained the safety that study improves feature identification.
In the present invention, feature may include human body biological characteristics and/or object identification feature, below by way of human body life
Present invention is described respectively for object feature and object identification feature：
In the prior art, human body biological characteristics can be identified by feature identifier, such as passes through fingerprint recognition
Device identifies somatic fingerprint feature, body iris feature identify by iris recognition device etc..And if feature
Identifier supports training study, then after legitimate user utilizes characteristics of human body successfully to identify every time, feature identifier can be utilized
The characteristics of human body of this input is trained study, to consolidate the ground for identifying successful characteristics of human body in preset features template
Position, but if feature cog region has fixed grain pattern, such as screen crackle or texture film, then learning in training
In, then fixed grain pattern can be learnt as a part of preset features template, frequency of training is more, can gradually increase fixation
Grain pattern ratio shared in preset features template so that status of the grain pattern in preset features template is increasingly
Consolidated, so that finally, when illegal user carries out characteristics of human body's identification, due to the presence of fixed grain pattern,
Also it can be verified and pass through, this allows for illegal user can brush out electronic equipment easily, cause great hidden danger.
And in this application, when user carries out feature input operation by the cog region in feature identifier, will such as refer to
Line is put into the cog region of Fingerprint Identification Unit, or using the iris feature of iris recognition device acquisition user, then, feature identification
Device can collect the first image comprising human body biological characteristics.And the second image is to receive the figure acquired before feature input operation
Picture, if that the cog region of feature identifier has fixed grain pattern, such as screen crackle or texture film, the second image is then
For comprising fixed grain pattern, but do not include feature to be identified, such as the image of fingerprint characteristic to be identified or iris feature, the
One image is the grain pattern not only comprising fixation but also includes the image of feature to be identified, the first image and the second image is carried out different
Or processing, then it can obtain not including grain pattern, but include the third image of feature to be identified, to utilize third image
Carry out feature identification.It is trained study if necessary, then can be carried out determining the use of third image after feature identifies successfully,
Study is trained using third image.
Likewise, the above problem is equally existed for object identification feature, using object identification feature as object identification code (two
Tie up code, bar code) etc., object identification code is scanned by feature identifier every time and obtains relevant information, obtains user authentication (as used
Family has carried out transfer operation to the beneficiary of acquisition) after, then study can be trained to object identification code, if that feature
The cog region of identifier has fixed grain pattern, as screen crackle or texture film then can be by fixations in training learnt
Grain pattern study be above-mentioned object identification code a part, frequency of training is more, can gradually increase fixed grain pattern
In the ratio of above-mentioned object identification code, if that illegal user has replaced object identification code, due to fixed grain pattern
In the presence of also resulting in electronic equipment for illegal object identification code and be identified as letter corresponding with physical identification code legal before
Breath, and can not be difficult to find if user does not recognize carefully, there are security risks, and fund has accidentally such as been given to illegal user.
And in this application, user can use the feature identifier scanning object identification code (behaviour of scanning object identification code
It is equivalent to feature input operation) when obtaining relevant information, and feature identifier obtains the first figure when scanning object identification code
Picture, the second image is to scan the image acquired before object identification code, if that the cog region of feature identifier has fixation
Grain pattern, such as screen crackle or texture film, the second image is then but not include object identification comprising fixed grain pattern
First image and the second image are carried out exclusive or processing by the image of code, then can obtain not including grain pattern, but include two
The third image of code is tieed up, to carry out feature identification using third image to obtain relevant information.It is trained if necessary
It practises, then can be trained study using third image after determining the use of third image progress feature and identifying successfully.
Corresponding with a kind of above-mentioned characteristic recognition method, the present invention also provides a kind of electronic equipment, below by way of several
Installation practice is described.
Apparatus of the present invention embodiment one discloses a kind of electronic equipment, as shown in fig. 7, a kind of electronic equipment includes：Feature
Identifier 100 and processor 200；Wherein：
Feature identifier 100, for acquiring image；
Processor 200 receives the first image acquired when feature input operation for obtaining the feature identifier, to institute
It states the second image procossing that the first image and the feature identifier acquire before receiving the feature input operation and obtains third
Image carries out feature identification using the third image.
It wherein, include the corresponding feature of feature input operation in first image.The feature may include that human body is raw
Object feature, and/or, object identification feature.Human body biological characteristics can be quiet for human body fingerprint characteristic, body iris feature, human body
Arteries and veins feature.Object identification feature can be image scanning code, such as two dimensional code or bar code.
Correspondingly, different features corresponds to different feature identifiers, as somatic fingerprint feature corresponds to Fingerprint Identification Unit, rainbow
Film feature corresponds to iris recognition device, object identification feature correspondence image identifier.
Wherein, the second image is characterized the second image that identifier acquires before receiving feature input operation.Specifically, the
Two images can be characterized the image acquired after identifier acquires the first image in upper primary reception feature input operation,
It is to receive feature input relative to this in step 101 to operate the adjacent last time that last time, which receives feature input,.
Alternatively, the second image, which can be characterized identifier, detects the input operation of this feature when just starting, but also not
The second image acquired before operation the first image of acquisition is inputted for this feature.Such as, by taking Fingerprint Identification Unit acquires fingerprint as an example,
Fingerprint Identification Unit can just start detecting fingerprint input, and since fingerprint is not also put into cog region completely by user, because
Before this does not carry out the acquisition of the first image also, the second image is first acquired.
Alternatively, the second image is the image acquired when feature identifier is initialized and completed, i.e., feature identifier is initial
Change and acquires the second image when completing.Specifically, feature identifier can be initialized after electronic equipment is switched on or restarts.
Regardless of feature identifier the second image collected is not include in such a way which kind of acquires the second image
The image of feature to be identified.
And processor can be handled third image after getting third image, it, will to obtain feature to be identified
Feature to be identified is matched with preset features, if successful match, it is determined that feature identifies successfully, then response current signature
The corresponding processing operation of identification.If match cognization, it is determined that feature recognition failures, then being then not responding to current signature identification
Corresponding processing operation.
It can be seen that the application is not receiving the first image acquired when feature input operation directly using feature identifier
Feature identification is carried out, but it is handled with the second image acquired before reception feature input operation to obtain third figure
Picture, using third image carry out feature identification, this mode in the prior art directly utilize feature identifier reception feature it is defeated
Enter the first image acquired when operating and carry out feature knowledge difference otherwise, improves the safety of feature identification, even if for example,
What feature identification region was utilized there are screen crackle or texture film, due to the application is treated third image,
Screen crackle or texture film will not be used directly in feature identification in first image, to improve the safety of feature identification
Property.
In apparatus of the present invention embodiment two, processor is also used to identify successfully when using third image progress feature
Afterwards, the feature identifier acquisition present image is controlled, the present image is for updating second image.
After being identified successfully using third image progress feature, the second image can be updated, i.e., controlling feature is known
Other device acquires present image, and the acquisition of the present image is the image acquired in the case that no feature inputs, thus using working as
Preceding image updates the second image.That is, processor can be after feature identifies successfully, it can be by updated second figure
As in feature identification process next time.
In apparatus of the present invention embodiment three, processor is also used to the control when the feature identifier initializes completion
The feature identifier acquires the second image, to receive the first figure acquired when feature input operation obtaining feature identifier
As after, preceding second image procossing acquired of feature input operation is being received to the first image and the feature identifier
Obtain third image.
Feature identifier can be set in electronic equipment, can be initialized when electronic equipment is switched on or restarts,
Or individually feature identifier can also be initialized.
In apparatus of the present invention example IV, processor is receiving institute to the first image and the feature identifier
It states the second image procossing acquired before feature input operation to obtain in third image, be specifically used for the first image and described
The second image that feature identifier acquires before receiving the feature input operation carries out exclusive or processing, generates third image.
Specifically, the first image and the second image are carried out can first to use binary conversion treatment in exclusive or treatment process
First image and the second image are respectively converted into binary image by algorithm, are such as referred to as the first binary image and second
Then first binary image and the second binary image are carried out exclusive or processing by binary image.
Wherein successively the corresponding pixel points of the pixel of the first binary image and the second binary image can be carried out
Exclusive or processing, as by the Nth row m column of the pixel of the Nth row m column of the first binary image and the second binary image
Pixel carries out exclusive or processing, wherein N and M is positive integer, by by the figure of all column of all rows of the first binary image
After the completion of exclusive or processing, third image is generated.
It can be seen that the application is not receiving the first image acquired when feature input operation directly using feature identifier
Feature identification is carried out, but it is obtained into third with preceding the second image progress exclusive or processing acquired of reception feature input operation
Image, using third image carry out feature identification, this mode in the prior art directly using feature identifier reception feature
The first image acquired when input operation carries out feature and knows difference otherwise, the safety of feature identification is improved, for example, such as
There are screen crackle or texture films for fruit feature identification region, then, including the screen crackle or texture film in the second image, and
Not only included screen crackle or texture film in first image, but also included feature to be identified, had only been wrapped by the third image that exclusive or is handled
Feature to be identified is included, therefore screen crackle or texture film will not be utilized in feature identification, to improve feature identification
Safety.
In apparatus of the present invention embodiment five, processor is also used to identify successfully when using third image progress feature
Afterwards, the third image is saved, carries out subsequent characteristics identification using the third image.
Preset features template training is learnt that is, can use third image, since third image is based on the
Image after one image and the second image procossing, the image obtained after being handled such as exclusive or, therefore, even if the identification of feature identifier
There are screen crackle or texture film, the screen crackle or texture films will not be present in third image in area, i.e., will not be to presence
The image of screen crackle or texture film is trained the safety that study improves feature identification.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with other
The difference of embodiment, the same or similar parts in each embodiment may refer to each other.For device disclosed in embodiment
For, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is said referring to method part
It is bright.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention.
Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest scope of cause.
Claims (10)
1. a kind of characteristic recognition method, which is characterized in that including：
It obtains feature identifier and receives the first image acquired when feature input operation；
The second image procossing that the first image and the feature identifier are acquired before receiving the feature input operation
Obtain third image；
Feature identification is carried out using the third image.
2. the method according to claim 1, wherein further including：
After carrying out feature identification using the third image, the feature identifier acquisition present image is controlled, it is described current
Image is for updating second image.
3. the method according to claim 1, wherein described exist to the first image and the feature identifier
It receives the second image procossing acquired before the feature input operation and obtains third image, including：
The second image that the first image and the feature identifier acquire before receiving the feature input operation is carried out
Exclusive or processing, generates third image.
4. the method according to claim 1, wherein further including：
When the feature identifier initializes completion, controls the feature identifier and acquire the second image.
5. the method according to claim 1, wherein further including：
After identifying successfully using third image progress feature, the third image is saved；
Subsequent characteristics identification is carried out using the third image.
6. a kind of electronic equipment, which is characterized in that including：
Feature identifier, for acquiring image；
Processor receives the first image acquired when feature input operation for obtaining the feature identifier, to described first
The second image procossing that image and the feature identifier acquire before receiving the feature input operation obtains third image, benefit
Feature identification is carried out with the third image.
7. electronic equipment according to claim 6, which is characterized in that the processor, which is also used to work as, utilizes the third figure
After carrying out feature identification, the feature identifier acquisition present image is controlled, the present image is for updating described second
Image.
8. electronic equipment according to claim 6, which is characterized in that the processor is to the first image and described
The second image procossing that feature identifier acquires before receiving the feature input operation obtains in third image, and being specifically used for will
The second image that the first image and the feature identifier acquire before receiving the feature input operation carries out at exclusive or
Reason generates third image.
9. electronic equipment according to claim 6, which is characterized in that the processor is also used in the feature identifier
When initialization is completed, controls the feature identifier and acquire the second image.
10. electronic equipment according to claim 6, which is characterized in that the processor, which is also used to work as, utilizes the third
After image progress feature identifies successfully, the third image is saved, the third image is utilized to carry out subsequent characteristics identification.
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